## Description

- Overview:
- Many inferential procedures assume that variable(s) under study follow a normal distribution in the population. In this module we will study properties of this distribution and learn how to calculate important measures that would be useful later in inference.Learning Objectives:Understand the properties of a normal distribution, the graph of its density function, interpret areas enclosed by a normal curve over an interval, percentilesLearn and apply 68-95-99.7 Empirical RuleStandard normal distribution, z-scores and standard normal tableCompute areas under the normal curve and interpret the resultsCompute percentiles and interpret the resultsCalculate cut-off values of the variable to cover middle p% of the distributionHow normal is a population distribution - Learn how to infer that the population distribution of the variable is normal – set up hypothesis, use normal probability plot, Anderson-Darling normality test, interpret p-value of the testChapter 6 – Normal Distribution – Pages 361 - 375Suggested Exercises – Chapter 6 – Odds 60 through 80

- Subject:
- Statistics and Probability
- Level:
- Community College / Lower Division, College / Upper Division
- Material Type:
- Module
- Provider:
- Ohio Open Ed Collaborative
- Date Added:
- 07/03/2018

- License:
- Creative Commons Attribution Non-Commercial
- Language:
- English
- Media Format:
- Text/HTML

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