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Data Analysis for Middle School | Free Math Lesson
This lesson gives students the opportunity to experience a simplified version of how mathematicians and scientists use data analysis and statistics to determine how much our planet is warming due to climate change. Students will create a data table and scatter plot, and they will use linear regression to make predictions about the future. Step 1 - Inquire: Students look at a global temperature anomaly graph and discuss how this graph shows a trend of warming temperatures. Step 2 - Investigate:
6th - 8th
Math, Science
CCSS
8.SP.A.1
, 8.SP.A.2
, 8.SP.A.3
Females Singing To Be Heard: Interdisciplinary Science Mini-Unit
This FREE, interdisciplinary mini-unit is all about challenging long-held assumptions about birdsong through data visualization. The Gist: Students will learn how data visuals tell a story. They will analyze real bird song data to try to understand why female singing behavior has been overlooked in one of the most common birds in the world. They will also gain a deeper insight into the scientific peer review process. Driving Questions: What is the best way to visualize data?How do our assumpti
5th - 12th
Graphing, Science
CCSS
8.SP.A.1
, HSS-ID.A.1
, HSS-CP.A.4
Two Variable Statistics with R Studio
This is a Unit on Two Variable Variable Statistics using the free computer programming language R Studio. The unit features 6 lessons, 2 quizzes, and one test. Each lesson has a student google document, a teacher lesson plan, a google slides with help videos for each lesson, and R Studio Code for the lesson. The lessons covers two way tables, relative frequency tables, associations with categorical data, scatterplots and lines of best fit, fitting linear models, and residuals.
7th - 12th
Computer Science - Technology, Math
CCSS
HSS-ID.B.5
, HSS-ID.B.6
, HSS-ID.B.6a
+4
Two Variable Statistics with Python
This is a Unit on Two Variable Variable Statistics using the free computer programming language Python. The unit features 6 lessons, 2 quizzes, and one test. Each lesson has a student google document, a teacher lesson plan, a google slides with help videos for each lesson, and Python Code for the lesson. The lessons covers two way tables, relative frequency tables, associations with categorical data, scatterplots and lines of best fit, fitting linear models, and residuals.
7th - 12th
Computer Science - Technology, Math
CCSS
HSS-ID.B.5
, HSS-ID.B.6
, HSS-ID.B.6a
+4
Investigating Vehicle Fuel Economy with Statistics
GOAL: To review ideas about bivariate analysis and sampling distribution within a context that can have students reason about variation across samples and models. This will lay the foundation for inferential statistics and hypothesis testing with regression. Lesson uses real data from the EPA and the online data tool CODAP BIG IDEAS bivariate quantitative data analysis, scatterplotslinear regression, slope and y-intercept as measuresresiduals and residual plotsvariance as measured by r2sampli
10th - 12th, Higher Education
Math, Science, Statistics
Correlation and Causation: Correlation Coefficient High School Scientific Method
Have you ever heard or said, " Correlation does not equal Causation." This vital scientific method knowledge can help your high school students in 8th, 9th, 10th, 11th, or 12th grade understand news media, medical studies, and psychology topics more accurately. This comprehensive mini-unit teaches students about correlationscatterplotscorrelation coefficients (r values)third variablestrue experiments (the experimental method)independent and dependent variablesrandom assignment and more in an
8th - 12th
Basic Principles, Graphing, Psychology
CCSS
8.SP.A.1
, 8.SP.A.2
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