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Statistics Unit 8 Bundle - Confidence Intervals (19 days)

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Mountainworks Education
61 Followers
Grade Levels
10th - 12th, Higher Education
Resource Type
Standards
Formats Included
  • Zip
  • Excel Spreadsheets
Pages
90 pages
$18.50
$18.50
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Mountainworks Education
61 Followers

Description

This is a unit plan bundle for a Statistics class. The plans include common core math standards, time frame, activities, enduring understandings, essential questions, and resources used. It is designed to last 19 days, depending on pacing. The plans include:

52-slide presentation, with annotated guide for reference

5 Worksheets

3 Quizzes

"Do Now" Entrance problems

Spreadsheet Activity - T-Distribution

Review slides (for review response system)

Unit test (with review packet)

Unit Project - Gather Data, Use Spreadsheets, Make a Presentation

Pacing Guide with administrative unit plan

All with answer keys included

*The topics covered are Confidence intervals (σ known and unknown), T-distribution, estimating a population proportion, election results, Chi-square distribution, estimating a population standard deviation, using graphing calculators, and challenge problem involving solving a system of equations. Examples use real-world data such as salaries of professional athletes. The documents are Word based, Powerpoint based, Excel Based, pdfs included, and completely editable. Enjoy!

**If you find this product useful, consider buying "A Mountain of Statistics Curriculum" for the entire class**

***Please read the "readme" text file and End User License Agreement contained in the Product. Thank you for respecting my work***

Total Pages
90 pages
Answer Key
Included
Teaching Duration
1 month
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Standards

to see state-specific standards (only available in the US).
Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
Evaluate reports based on data.
Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator).
Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).

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