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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
Lecture Examples
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)
STATS1
STATS2
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