{"id":633,"date":"2022-02-16T11:21:34","date_gmt":"2022-02-16T16:21:34","guid":{"rendered":"https:\/\/dev4.legawebdesign.com\/?page_id=633"},"modified":"2024-09-23T13:20:25","modified_gmt":"2024-09-23T17:20:25","slug":"cocorahs-dec","status":"publish","type":"page","link":"https:\/\/horizon-research.com\/tl4cs\/cocorahs\/cocorahs-dec\/","title":{"rendered":"CoCoRaHS, 4: December"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.16&#8243; background_enable_image=&#8221;off&#8221; background_size=&#8221;contain&#8221; background_position=&#8221;top_right&#8221; custom_padding=&#8221;40px||||false|false&#8221; custom_padding_tablet=&#8221;40px|0px|50px|0px|false|false&#8221; custom_padding_phone=&#8221;30px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.16&#8243; max_width=&#8221;1280px&#8221; use_custom_width=&#8221;on&#8221; custom_width_px=&#8221;1280px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;2_3&#8243; module_class=&#8221;engage-inline-button&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; text_font=&#8221;||||||||&#8221; text_line_height=&#8221;1.6em&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_font_size=&#8221;56px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_font_size=&#8221;30px&#8221; header_3_font=&#8221;|600|||||||&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.8em&#8221; max_width=&#8221;900px&#8221; custom_margin=&#8221;||14px|||&#8221; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;15px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; text_line_height_tablet=&#8221;&#8221; text_line_height_phone=&#8221;1.6em&#8221; text_line_height_last_edited=&#8221;on|phone&#8221; header_font_size_tablet=&#8221;50px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>4: December<\/h2>\n<p>[\/et_pb_text][et_pb_code _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;40px&#8221; module_alignment=&#8221;right&#8221; custom_margin=&#8221;-54px||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<div class='printomatic pom-default ' id='id6468'  data-print_target='article'><\/div>[\/et_pb_code][et_pb_text _builder_version=&#8221;4.21.0&#8243; text_font=&#8221;||||||||&#8221; text_line_height=&#8221;1.6em&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_font_size=&#8221;56px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_font_size=&#8221;30px&#8221; header_3_font=&#8221;|600|||||||&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.8em&#8221; max_width=&#8221;900px&#8221; custom_margin=&#8221;||14px|||&#8221; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;15px&#8221; text_font_size_last_edited=&#8221;on|desktop&#8221; text_line_height_tablet=&#8221;&#8221; text_line_height_phone=&#8221;1.6em&#8221; text_line_height_last_edited=&#8221;on|phone&#8221; header_font_size_tablet=&#8221;50px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4>Variations in precipitation within a region of the state; comparing your school\u2019s precipitation to another Location in the same region<\/h4>\n<p><strong>Purpose<\/strong><br \/><span style=\"font-weight: 400;\">Last month students compared their own station data with other stations in their county. In this month\u2019s activity, students compare their own station\u2019s data with another station in their own region as they make sense of how geographic location and features can result in differences in precipitation <\/span><b>within <\/b><span style=\"font-weight: 400;\">regions. Students will compare their own meteorologic fall data (meteorologic fall is the full months September, October, and November &#8211; see <a href=\"#graphingtips\">Expert Connection support<\/a> below) with the other station\u2019s (in the same region) fall data and explore differences in the locations.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_line_height=&#8221;1.6em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-27.png\" alt=\"\" class=\"wp-image-418 alignleft size-full\" width=\"120\" height=\"121\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Students will be making a graph to compare their own station\u2019s meteorological months\u2019 (September, October, and November) rainfall with another station\u2019s monthly rainfall. First, have students calculate their own station\u2019s monthly precipitation totals for each of the fall months. As a class, decide the components of the graph (e.g., title, axes, labels, scales). <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/horizon-research.com\/tl4cs\/wp-content\/uploads\/2024\/08\/Picture1-230x300.png\" width=\"230\" height=\"300\" alt=\"\" class=\"wp-image-1300 alignnone size-medium\" style=\"float: right;\" srcset=\"https:\/\/horizon-research.com\/tl4cs\/wp-content\/uploads\/2024\/08\/Picture1-230x300.png 230w, https:\/\/horizon-research.com\/tl4cs\/wp-content\/uploads\/2024\/08\/Picture1.png 298w\" sizes=\"auto, (max-width: 230px) 100vw, 230px\" \/><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Students start with graphing their own monthly precipitation totals for each month,\u00a0 <\/span><span>making sure <\/span><span>to leave room for <\/span><span>adding a second bar for the other station\u2019s data. Allow students time to talk with a small group about what they notice about the data. Ask students to add the monthly totals of September, October, and November to determine a \u201c<\/span><b>fall total<\/b><span>\u201d precipitation for their station.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Before sharing the other station\u2019s data with students, discuss where the station is located using the <\/span><span>CoCoRaHS Active Stations map. Discuss differences between their own school and the other station such as location, latitude, longitude, and elevation, as well as other geographic features such as a \u201c rain shadow\u201d (areas that are dry because they are sheltered from prevailing rain-bearing winds by a range of hills) or proximity to water. <\/span><span>Ask students to write about what they expect to see from the other station\u2019s data and how it may differ from their own school\u2019s data. Share the other station\u2019s fall data (monthly totals) and ask students to add these data to their graph and calculate the other location\u2019s fall total. Provide time for students to share what they notice using the data to support their claims. Students will compare how the data align with what they predicted about each station&#8217;s precipitation related to geographic location and features.\u00a0<\/span><\/p>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjYzMSJ9fQ==@&#8221; button_text=&#8221;Previous: 3: November&#8221; button_alignment=&#8221;left&#8221; _builder_version=&#8221;4.16&#8243; _dynamic_attributes=&#8221;button_url&#8221; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;14px&#8221; button_border_width=&#8221;0px&#8221; button_icon=&#8221;&#x23;||divi||400&#8243; button_icon_placement=&#8221;left&#8221; button_on_hover=&#8221;off&#8221; custom_padding=&#8221;|20px|||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjYzNSJ9fQ==@&#8221; button_text=&#8221;Next: 5: January&#8221; button_alignment=&#8221;right&#8221; _builder_version=&#8221;4.16&#8243; _dynamic_attributes=&#8221;button_url&#8221; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;14px&#8221; button_border_width=&#8221;0px&#8221; button_icon=&#8221;&#x24;||divi||400&#8243; button_on_hover=&#8221;off&#8221; custom_padding=&#8221;|||20px|false|false&#8221; custom_css_main_element=&#8221;text-align:right !important;&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;14px&#8221; text_line_height=&#8221;1.3em&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_font_size=&#8221;56px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_font_size=&#8221;30px&#8221; header_3_font=&#8221;|600|||||||&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||2px|||&#8221; header_font_size_tablet=&#8221;50px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4>Standards + Practices<\/h4>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;14px&#8221; text_line_height=&#8221;1.3em&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_font_size=&#8221;56px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_font_size=&#8221;30px&#8221; header_3_font=&#8221;|600|||||||&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.8em&#8221; min_height=&#8221;109.8px&#8221; custom_margin=&#8221;||2px|||&#8221; header_font_size_tablet=&#8221;50px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-17.png\" width=\"121\" height=\"120\" alt=\"\" class=\"wp-image-525 alignnone size-full\" \/><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-24.png\" width=\"120\" height=\"121\" alt=\"\" class=\"wp-image-831 alignnone size-full\" \/><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_font_size=&#8221;13px&#8221; text_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||12px||false|false&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Science Standards: <\/strong><\/p>\n<p><strong>ESS.5.1.1 <\/strong>Analyze and interpret data to compare daily and seasonal changes in weather conditions and patterns<\/p>\n<p><strong>ESS.5.1.2 <\/strong>Analyze and interpret weather data to explain current and upcoming weather conditions in a given location<\/p>\n<p><strong>ESS.5.1.3 <\/strong>Construct an explanation to summarize the ocean\u2019s influences on weather and climate in North Carolina<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_font_size=&#8221;13px&#8221; text_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||12px||false|false&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Science Practices<br \/><\/strong>SP4: Analyze and interpret data<br \/>SP6: Constructing explanations<br \/>SP7: Engaging in argument from evidence<br \/>SP8: Obtaining, evaluating, and communicating information<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_font_size=&#8221;13px&#8221; text_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||12px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Math Standards: <\/strong><\/p>\n<p><strong>NC.5.MD.2 <\/strong>Represent and interpret data: Collect data by asking a question that yields data that changes over time.<\/p>\n<p><strong>NC.5.NBT.3 <\/strong>Read, write, and compare decimals to thousandths.<\/p>\n<p><strong>NC.5.NBT.7 <\/strong>Compute and solve real-world problems with multi-digit whole numbers and decimal numbers<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_font_size=&#8221;13px&#8221; text_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||32px||false|false&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Math Practices<br \/><\/strong>MP2: Reason abstractly and quantitatively<br \/>MP5: <span style=\"font-weight: 400;\">Use appropriate tools strategically <\/span><br \/>MP6: Attending to precision<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;14px&#8221; text_line_height=&#8221;1.3em&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_font_size=&#8221;56px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_font_size=&#8221;30px&#8221; header_3_font=&#8221;|600|||||||&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;||2px|||&#8221; header_font_size_tablet=&#8221;50px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4>Resources + Supports<\/h4>\n<p>[\/et_pb_text][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-18.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#narrative\">Ms. Clark\u2019s Class Investigates Fall Rainfall <\/a><\/p>\n<p>[\/et_pb_blurb][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-21.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#graphingtips\">Meteorological Seasons<\/a><\/p>\n<p>[\/et_pb_blurb][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-22.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#takingnotes\">Place Value and Decimals<\/a><\/p>\n<p>[\/et_pb_blurb][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-29.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#decimals\">Rainfall in Autumn<\/a><\/p>\n<p>[\/et_pb_blurb][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-17.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#commonmistakes\">Rainy Days Report<\/a><\/p>\n<p>[\/et_pb_blurb][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-20.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#meteorologist\">Practice Overview: Analyzing and Interpreting Data<\/a><\/p>\n<p>[\/et_pb_blurb][et_pb_blurb image=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-28.png&#8221; icon_placement=&#8221;left&#8221; image_icon_width=&#8221;100%&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"#looking-ahead\">December Preview<\/a><\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Objectives&#8221; module_id=&#8221;narrative&#8221; _builder_version=&#8221;4.16&#8243; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;35px|||||&#8221; border_width_top=&#8221;8px&#8221; border_color_top=&#8221;#89CEA4&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; admin_label=&#8221;Module Heading with Icon&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;||1px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; custom_css_main_element=&#8221;width: 18%!important;&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-18.png&#8221; title_text=&#8221;Asset 18&#8243; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#454545&#8243; header_font_size=&#8221;42px&#8221; header_line_height=&#8221;2.2em&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;#454545&#8243; header_3_font_size=&#8221;26px&#8221; header_line_height_tablet=&#8221;1.2em&#8221; header_line_height_phone=&#8221;1.2em&#8221; header_line_height_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><b>Ms. Clark\u2019s Class Investigates Fall Rainfall<\/b><\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/05\/Screenshot-2022-05-23-164043-300x115.png\" alt=\"\" class=\"wp-image-1135 alignnone size-medium\" style=\"float: right;\" width=\"449\" height=\"172\" \/>\u00a0Ms. Clark knew she needed to provide chances for her students to make sense of their data and the data from the other station, so she posed three questions that she wanted them to be sure to ask one another: 1) What patterns do I see in the data? 2) What are possible explanations for the data that stand out? and 3) What questions do I have? What data would help me to answer those questions? When Ms. Clark\u2019s students start digging into the other station\u2019s data, they are surprised by how similar their total precipitation for the meteorological fall season (September, October, November) is to the other station\u2019s, and that their other station\u2019s fall total is slightly greater. This finding refutes many students\u2019 predictions that their total precipitation would be greater. Most students predicted that their school would have measured greater precipitation than the other station, because they are farther east (by about 80 miles). Students had thought that their more eastern location would mean more rain from tropical storms forming in the Atlantic Ocean. She wants to have her students collaborate to practice analyzing and interpreting data to help them construct explanations and arguments using their data as evidence for their claims.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ms. Clark encourages students to look back in their notes from September through November to see what they had noted about precipitation. Consulting her notes, one student exclaims, \u201cRemember in September? We had so much rain from Hurricane Sally!\u201d Pointing to the graph that the class made of fall precipitation data, another student chimes in, \u201cThat\u2019s right! Look! On September 18, we measured 2.25 inches!\u201d Another student asks, \u201cI wonder what the other station measured that day. Ms. Clark, can we ask them?\u201d Ms. Clark responds, \u201cWe have these data because that station has had someone participating in CoCoRaHS just like us, so we can use the site to find out how much precipitation they measured on September 18<\/span><span style=\"font-weight: 400;\">th<\/span><span style=\"font-weight: 400;\">.\u201d Ms. Clark demonstrates how to change the date on the interactive map on the CoCoRaHS website and displays the map for September 18<\/span><span style=\"font-weight: 400;\">th<\/span><span style=\"font-weight: 400;\">. The class finds the other station and discovers that they measured 1.81 inches that day.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At this point, students are excited to learn more about how the other station ended up with a fall total precipitation greater than theirs, especially when they measured less rain on a particular day. Ms. Clark divides the class into teams of 3, and assigns each team member a month: September, October, November. Each team member is responsible for taking a closer look at the daily precipitation data for their month. The resources that students can use for their investigation include:<\/span><a href=\"https:\/\/www.cocorahs.org\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400;\">CoCoRaHS interactive map<\/span><\/a><span style=\"font-weight: 400;\">,<\/span><a href=\"https:\/\/www.cocorahs.org\/ViewData\/StationPrecipSummary.aspx\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400;\">CoCoRaHS Station Precipitation Summary<\/span><\/a><span style=\"font-weight: 400;\">, earlier weather reports, and news articles about tropical storm paths. The team members will then gather to share what they have found with one another.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Objectives&#8221; module_id=&#8221;graphingtips&#8221; _builder_version=&#8221;4.16&#8243; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;35px|||||&#8221; border_width_top=&#8221;8px&#8221; border_color_top=&#8221;#89CEA4&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; admin_label=&#8221;Module Heading with Icon&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;||1px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; custom_css_main_element=&#8221;width: 10%!important;&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-21.png&#8221; title_text=&#8221;Asset 21&#8243; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#454545&#8243; header_font_size=&#8221;42px&#8221; header_line_height=&#8221;2.2em&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;#454545&#8243; header_3_font_size=&#8221;26px&#8221; header_line_height_tablet=&#8221;1.2em&#8221; header_line_height_phone=&#8221;1.2em&#8221; header_line_height_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><b>Meteorological Seasons<\/b><\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><b>Did you know that meteorologists and climatologists look at seasons differently than we do?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Meteorologists and climatologists use yearly temperature data to define seasons, whereas to others, seasons are defined astronomically, or by Earth\u2019s position in relation to the sun. For the data students will be analyzing during this project, students will view seasons in the same way as meteorologists and climatologists view them in the Northern hemisphere, in three month cycles, based on temperature data:\u00a0<\/span><\/p>\n<ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Summer: June, July, and August<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Fall: September, October, and November<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Winter: December, January, and February<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Spring: March, April and May.<\/span><\/li>\n<\/ul>\n<\/ul>\n<p><span style=\"font-weight: 400;\">For more information regarding this difference, please refer to the following informational page from NOAA: <\/span><a href=\"https:\/\/www.ncei.noaa.gov\/news\/meteorological-versus-astronomical-seasons\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Meteorological vs. Astronomical Seasons<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If interested in learning more about climatologists with your students, a list of climatologists and their contact information can be found on the <\/span><a href=\"https:\/\/climate.ncsu.edu\/people\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">website<\/span><\/a><span style=\"font-weight: 400;\"> for the NC State Climate Office. The director of the State Climatologist office is a woman and this resource would be great to highlight diversity in a science field. <\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Objectives&#8221; module_id=&#8221;takingnotes&#8221; _builder_version=&#8221;4.16&#8243; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;35px|||||&#8221; border_width_top=&#8221;8px&#8221; border_color_top=&#8221;#89CEA4&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; admin_label=&#8221;Module Heading with Icon&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;||1px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; custom_css_main_element=&#8221;width: 10%!important;&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-22.png&#8221; title_text=&#8221;Asset 22&#8243; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#454545&#8243; header_font_size=&#8221;42px&#8221; header_line_height=&#8221;2.2em&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;#454545&#8243; header_3_font_size=&#8221;26px&#8221; header_line_height_tablet=&#8221;1.2em&#8221; header_line_height_phone=&#8221;1.2em&#8221; header_line_height_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Place Value and Decimals<\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">When students are working with multiple addends with decimals, remind them to keep place value in mind when writing the numbers. In order for the decimal points to line up, students may need to add zeros.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also, students have been considering whether their daily measurements \u201cmake sense\u201d given what they\u2019ve observed in the weather. When students calculate monthly totals, it will also be useful for them to consider how reasonable their answer is. For example, they may compare the total with totals of other stations in their county.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Objectives&#8221; module_id=&#8221;decimals&#8221; _builder_version=&#8221;4.16&#8243; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;35px|||||&#8221; border_width_top=&#8221;8px&#8221; border_color_top=&#8221;#89CEA4&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; admin_label=&#8221;Module Heading with Icon&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;||1px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; custom_css_main_element=&#8221;width: 10%!important;&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-29.png&#8221; title_text=&#8221;Asset 29&#8243; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#454545&#8243; header_font_size=&#8221;42px&#8221; header_line_height=&#8221;2.2em&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;#454545&#8243; header_3_font_size=&#8221;26px&#8221; header_line_height_tablet=&#8221;1.2em&#8221; header_line_height_phone=&#8221;1.2em&#8221; header_line_height_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Rainfall in Autumn<\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">Be sure to clarify that \u201cfall\u201d is referring to the season (i.e., autumn) and not the precipitation, or rainfall, total. <\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Objectives&#8221; module_id=&#8221;commonmistakes&#8221; _builder_version=&#8221;4.16&#8243; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;35px|||||&#8221; border_width_top=&#8221;8px&#8221; border_color_top=&#8221;#89CEA4&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; admin_label=&#8221;Module Heading with Icon&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;||1px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; custom_css_main_element=&#8221;width: 10%!important;&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-17.png&#8221; title_text=&#8221;Asset 17&#8243; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#454545&#8243; header_font_size=&#8221;42px&#8221; header_line_height=&#8221;2.2em&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;#454545&#8243; header_3_font_size=&#8221;26px&#8221; header_line_height_tablet=&#8221;1.2em&#8221; header_line_height_phone=&#8221;1.2em&#8221; header_line_height_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><b>Rainy Days Report<\/b><\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||17px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_font_size=&#8221;56px&#8221; header_line_height=&#8221;1.3em&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_font_size=&#8221;30px&#8221; header_3_font=&#8221;|600|||||||&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.8em&#8221; custom_padding=&#8221;0px||||false|false&#8221; header_font_size_tablet=&#8221;50px&#8221; header_font_size_phone=&#8221;32px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">Daily county-level averages are available through the <\/span><a href=\"https:\/\/www.cocorahs.org\/ViewData\/RainyDaysReport.aspx\" target=\"_blank\" rel=\"noopener\"><b>Rainy Days Report<\/b><\/a><span style=\"font-weight: 400;\">. Copying these values and pasting them into a spreadsheet will allow you to calculate an average monthly total. Students will be using the same strategy later in the year when working with historical data. <\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Objectives&#8221; module_id=&#8221;meteorologist&#8221; _builder_version=&#8221;4.16&#8243; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;35px|||||&#8221; border_width_top=&#8221;8px&#8221; border_color_top=&#8221;#89CEA4&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_4,3_4&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; admin_label=&#8221;Module Heading with Icon&#8221; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;||1px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; custom_css_main_element=&#8221;width: 10%!important;&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-20.png&#8221; title_text=&#8221;Asset 20&#8243; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;EB Garamond||||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#454545&#8243; header_font_size=&#8221;42px&#8221; header_line_height=&#8221;2.2em&#8221; header_3_font=&#8221;|700|||||||&#8221; header_3_text_color=&#8221;#454545&#8243; header_3_font_size=&#8221;26px&#8221; header_line_height_tablet=&#8221;1.2em&#8221; header_line_height_phone=&#8221;1.2em&#8221; header_line_height_last_edited=&#8221;on|tablet&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><b>Practice Overview: Analyzing and Interpreting Data<\/b><\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; header_4_font=&#8221;|700||on|||||&#8221; header_4_text_color=&#8221;#89CEA4&#8243; header_4_font_size=&#8221;16px&#8221; header_4_letter_spacing=&#8221;1px&#8221; header_4_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><b>Analyzing and interpreting data<\/b><span style=\"font-weight: 400;\"> involves organizing and graphing collected data and making sense of it (e.g., finding relationships, patterns, outliers). Various tools can be used in data analysis including spreadsheets, graphing tools, and analytical software. Observation and reasoning help scientists make predictions and form explanations based on the data.\u00a0<\/span><\/p>\n<p><b>The following video, intended for a teacher audience, provides additional information related to this practice. (0:00-2:55)<\/b><\/p>\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=9NkT-oYPkOA&amp;feature=youtu.be\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">https:\/\/www.youtube.com\/watch?v=9NkT-oYPkOA&amp;feature=youtu.be<\/span><\/a><\/p>\n<p><b><i>How can I help my students analyze and interpret data?<\/i><\/b><\/p>\n<p><span style=\"font-weight: 400;\">Some possible strategies include:\u00a0<\/span><\/p>\n<ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Emphasizing the importance of and providing opportunities for students to organize and make sense of data they have collected.<\/span><\/li>\n<\/ul>\n<\/ul>\n<ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Teaching students how to use appropriate scientific tools such as Excel or Google sheets, and graphing and statistical software.\u00a0<\/span><\/li>\n<\/ul>\n<\/ul>\n<ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Providing students with questions that help students attend to relevant parts of the data. <\/span><i><span style=\"font-weight: 400;\">See table below.<\/span><\/i><span style=\"font-weight: 400;\">\u00a0<\/span><\/li>\n<\/ul>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;#338BC8&#8243; custom_margin=&#8221;10px|10px|10px|10px|true|true&#8221; custom_padding=&#8221;40px|40px|0px|40px|false|true&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"color: #ffffff;\"><b>Questions for students to consider when interpreting data<\/b><\/span><br \/>\u00a0<\/p>\n<ol>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">What do I notice about how these data are displayed?\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">What information can be found in the headings of the data sheet, the graph title, or on the x- and y-axis of the graph?\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">What patterns do I see in the data?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">Are there data that stand out? What are possible explanations for those points?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">Are there data missing?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">What can I infer based on these data?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">What predictions could I make based on these data?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #ffffff;\">What questions do I have or what do I still need to figure out? What data would help me answer those questions?\u00a0<\/span><\/li>\n<\/ol>\n<\/ol>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; module_id=&#8221;looking-ahead&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;33px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_cta _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_text_align=&#8221;left&#8221; background_color=&#8221;#ebebeb&#8221; text_orientation=&#8221;left&#8221; background_layout=&#8221;light&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/www.horizon-research.com\/tl4cs\/wp-content\/uploads\/2022\/02\/Asset-28.png\" alt=\"\" class=\"wp-image-419 alignleft size-full\" width=\"120\" height=\"121\" \/><span style=\"font-weight: 400;\"><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now that students have compared with another station in the same region, you will be using data from stations in different regions during next month\u2019s activity. You will need to make sure you have their station numbers and are able to access their data on the CoCoRaHS website. <\/span><\/p>\n<p>[\/et_pb_cta][et_pb_button button_url=&#8221;@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjYzNSJ9fQ==@&#8221; button_text=&#8221;Next: 5: January&#8221; button_alignment=&#8221;right&#8221; _builder_version=&#8221;4.16&#8243; _dynamic_attributes=&#8221;button_url&#8221; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;14px&#8221; button_border_width=&#8221;0px&#8221; button_icon=&#8221;&#x24;||divi||400&#8243; button_on_hover=&#8221;off&#8221; custom_padding=&#8221;|||20px|false|false&#8221; custom_css_main_element=&#8221;text-align:right !important;&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>4: December<div class='printomatic pom-default ' id='id4317'  data-print_target='article'><\/div>Variations in precipitation within a region of the state; comparing your school\u2019s precipitation to another Location in the same region PurposeLast month students compared their own station data with other stations in their county. In this month\u2019s activity, students compare their own station\u2019s data with another station in their own region as they make [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":209,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"_et_pb_use_builder":"on","_et_pb_old_content":"<!-- wp:divi\/placeholder \/-->","_et_gb_content_width":"","footnotes":""},"class_list":["post-633","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/pages\/633","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/comments?post=633"}],"version-history":[{"count":10,"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/pages\/633\/revisions"}],"predecessor-version":[{"id":1339,"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/pages\/633\/revisions\/1339"}],"up":[{"embeddable":true,"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/pages\/209"}],"wp:attachment":[{"href":"https:\/\/horizon-research.com\/tl4cs\/wp-json\/wp\/v2\/media?parent=633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}