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Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
Statistics Project: Normal Distributions and Random Variables for High School
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Description

Hello!

This is my most popular project, with statistics teachers AND students. Are you looking for a final project or a project-based assessment for normal distributions and random variables? This resource is perfect for high school statistics teachers who are looking to bring some real-world applications to normal distributions. Students will be collecting their own samples and analyzing data. They will be making bell curves, labeling parts of the normal distribution, and answering specific questions about each part of the bell curve.

As a part of this project, the teacher will have to create a student questionnaire, using either Google Forms or your preferred method of surveying. I attached a copy of the survey I use every year. Feel free to use it as a template!

If you're using StatsMedic to teach, it's aligned with the Stats Medic content!

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.

Statistics Project: Normal Distributions and Random Variables for High School

Math with Ms Li
10 Followers
$7.00

Highlights

Digital downloads
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Grades
10th - 12th, Higher Education
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Subjects
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Standards
Pages
6
Teaching Duration
2 Weeks

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This bundle has a lesson plan on normal distributions and random variables. It teaches students about discrete and continuous variables, the empirical rule, normal distributions, binomial probabilities, and more. It also includes an end-of-lesson project that you can use as an assessment for student
Price $13.95Original Price $15.50Save $1.55
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This bundle compiles projects for AP Statistics and High School Statistics Projects. If you're looking for more detailed descriptions of each project, check out my shop! The projects cover data collection, normal distributions, regression analysis, inference procedures, and more.
Price $25.00Original Price $28.00Save $3.00
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Description

Hello!

This is my most popular project, with statistics teachers AND students. Are you looking for a final project or a project-based assessment for normal distributions and random variables? This resource is perfect for high school statistics teachers who are looking to bring some real-world applications to normal distributions. Students will be collecting their own samples and analyzing data. They will be making bell curves, labeling parts of the normal distribution, and answering specific questions about each part of the bell curve.

As a part of this project, the teacher will have to create a student questionnaire, using either Google Forms or your preferred method of surveying. I attached a copy of the survey I use every year. Feel free to use it as a template!

If you're using StatsMedic to teach, it's aligned with the Stats Medic content!

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).
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Informally assess the fit of a function by plotting and analyzing residuals.
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