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Course Documents

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 165tech

Example 165: Find the  for the following data and state the largest deviation we would expect between any of the actual data points and our least squares line.
Female Height (in Meters)
X    Ideal Height of Mate
Y
1.52    1.69
1.60    1.74
1.68    1.80
1.75    1.93
1.83    2.00


Accompanying Minitab output:
Model Summary

        S    R-sq  R-sq(adj)  
0.0282013  96.46%     95.29%      


Coefficients

Term       Coef  SE Coef  T-Value  P-Value   
Constant  0.076    0.194     0.39    0.721
Female Ht 1.048    0.116     9.05    0.003  


Regression Equation: Ideal Ht of Mate = 0.076 + 1.048 * (Female Ht)

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