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Chapter 1 - Intro

Chapter 2 - Methods for Describing Sets of Data

Chapter 3 - Probability

Chapter 4 - Discrete Random Variables

Chapter 5 - Normal Random Variables

Chapter 6 - Sampling Distributions

Chapter 7 - Confidence Intervals

Chapter 8 - Tests of Hypothesis: One Sample

Chapter 9 - Confidence Intervals and Hypothesis Tests: Two Samples Sample Exam I: Chapters 1 & 2

Sample Exam II: Chapters 3 & 4

Sample Exam III: Chapters 5 & 6

Sample Exam IV: Chapters 7 & 8

### Example 166tech

Example 166 (Tech): Using a 1% significance level and the computer output below, test the claim that there is a positive linear relationship between a mother’s height and her daughter’s height.
Mother’s Height    Daughter’s Height
63.2    58.6
67.1    64.7
64.5    65.3
60.5    61.0
65.1    65.4
59.3    60.9
64.0    60.0
62.0    59.0
66.5    64.5

Minitab output:
Analysis of Variance

Regression   1   26.39  26.388     5.11    0.058
Mother's Ht  1   26.39  26.388     5.11    0.058
Error        7   36.15   5.165
Total        8   62.54

Model Summary

2.27263  42.19%     33.93%

Coefficients

Term        Coef  SE Coef  T-Value  P-Value
Constant    18.0     19.6     0.92    0.388
Mother's Ht 0.695    0.307    2.26    0.058

Regression Equation

Daughter's Ht = 18.0 + 0.695 * (Mother's Ht)

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