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CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
CDF | Basic Statistics Unit 3 Normal Distributions
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Description

CDF has students use Google Sheets to calculate the cumulative distribution function (CDF) in a fun engaging way!

✅ This resource includes:

  • Student Worksheet
  • Answer Key

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

This resource is ideal for grades 9-12 math classes.

🎉 Grab it now and start using this resource today!

*This is part of my Basic Statistics Unit 3 Normal Distributions Bundle.

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.

CDF | Basic Statistics Unit 3 Normal Distributions

Rich Thinking
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$3.00

Highlights

Digital downloads
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Grades
9th - 12th
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Standards
Answer Key
Included

Description

CDF has students use Google Sheets to calculate the cumulative distribution function (CDF) in a fun engaging way!

✅ This resource includes:

  • Student Worksheet
  • Answer Key

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

This resource is ideal for grades 9-12 math classes.

🎉 Grab it now and start using this resource today!

*This is part of my Basic Statistics Unit 3 Normal Distributions Bundle.

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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