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Basic Statistics Curriculum
Basic Statistics Curriculum
Basic Statistics Curriculum
Basic Statistics Curriculum
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Description

Basic Statistics Curriculum is a four unit semester course covering data collection methods, displaying categorical and quantitative data, normal distributions, scatter plots, linear regression and so much more in engaging, fun, applicable ways! It focuses on using Google Sheets as the tool for calculation. It also includes a final project for the course!

✅ Each unit includes:

  • Guided Notes
  • Activities
  • Assignments
  • Unit Review
  • Unit Test
  • Answer Keys

You will love how straight forward this curriculum makes teaching statistics to high school math classes!

This resource is ideal for grades 9-12 math classes. Each individual activity is available at my store Rich Thinking.

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Basic Statistics Curriculum

Rich Thinking
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$76.50
$85.00
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Highlights

Digital downloads
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Grades
9th - 12th
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Standards

Description

Basic Statistics Curriculum is a four unit semester course covering data collection methods, displaying categorical and quantitative data, normal distributions, scatter plots, linear regression and so much more in engaging, fun, applicable ways! It focuses on using Google Sheets as the tool for calculation. It also includes a final project for the course!

✅ Each unit includes:

  • Guided Notes
  • Activities
  • Assignments
  • Unit Review
  • Unit Test
  • Answer Keys

You will love how straight forward this curriculum makes teaching statistics to high school math classes!

This resource is ideal for grades 9-12 math classes. Each individual activity is available at my store Rich Thinking.

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Represent data with plots on the real number line (dot plots, histograms, and box plots).
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
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