Normal Distribution & Sampling Distributions

7/15/1999


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Table of Contents

Normal Distribution & Sampling Distributions

Learning Objectives

Data Types

Continuous Random Variables

Continuous Random Variable Examples

Continuous Probability Density Function

Continuous Random Variable Probability

Continuous Probability Distribution Models

Normal Distribution - Importance

Normal Distribution

Probability Density Function

Effect of Varying Parameters (? & ?)

Normal Distribution Probability

Infinite Number of Tables

Standardizing Example

Obtaining the Probability

Example 7.1 P(75 ? X ? 81)

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Example 7.2 P(69 ? X ? 81)

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Example 7.3 P(X < 62)

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Example 7.4 P(62 ? X ? 69)

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Finding Z Values for Known Probabilities

Finding X Values for Known Probabilities

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Finding the Interquartile Range

Finding the Interquartile Range

PPT Slide

Finding the Interquartile Range

Assessing Normality

Steps in Constructing Normal Probability Plots