Homework

Topic Book Section Problems
 Types of data  1.2  1, 4, 5, 7, 8, 9-15, 17-19
 Design of experiments  1.3  1-4, 5, 8, 9-21, 23-25
 Ch. 1 review exercises  p. 21  1, 4
 Frequency distributions  2.2  1, 5, 9 (cumulative means running total), 15
 Visualizing data  2.3  1-4, 5, 11, 13
 Measures of center  2.4

 1 (midrange is half-way between min and max), 7-9, 19
 Measures of variation  2.5  1, 4, 9
 Relative standing  2.6  1, 2, 7, 9, 11-12 (in the book they compute percentile by counting how many are strictly smaller. In class we included all smaller than or equal to the value in question.), 15 (our method is different from the book’s)
 EDA  2.7  1 (the five number summary is min, Q1, median, Q3, max), 11 (try this in JMP once you’ve learned how)
 Ch. 2 review exercises  p. 85  1
 Probability  3.2  1, 3, 5, 6, 9, 17
 Addition rule  3.3  1-3, 9, 10, 13, 14, 17, 18
 Multiplication rule  3.4  1-4, 9, 10, 13, 17, 19
 Multiplication rule / Bayes  3.5  1, 3, 7, 21 (also, find the overall probability of getting a defective electrocardiograph machine), redo the drug screening problem at the end of Aug. 8 lectue notes with P(D) = 0.5
 Risks and odds  3.6  2-4, 6, 7
 Rates  3.7  7, 8
 Ch. 3 review  pp. 150-151  1-8, 12
 Random variables  4.2  1, 3-5, 9a, 9b
 Binomial distribution  4.3  9, 17-19, 21-24
 Binomial mean and variance  4.4  1, 5
 Poisson distribution  4.5  1, 5, 6
 Ch. 4 review  p. 187  3
 Standard normal distribution  5.2  9, 11, 13, 14, 17, 19, 17, 29-31, 37, 39
 Applications of normal dist.  5.3  1, 3, 5-7, 9, 13, 19
 Central limit theorem  5.5  1, 5, 13
 Normal approx. to binomial  5.6  9, 11-13, 19
 Assessing normality  5.7  1-4, 5, 9 (for problems 5 and 9, use JMP on the BMI variable of the MHEALTH data set, which can be found following the link on the course webpage)
 Ch. 5 review  p. 249  2, 5
 Confidence intervals (proportions)  6.2  1-9, 13, 15, 17, 18, 23, 27, 29
 Confidence intervals (means, with variance known)  6.3  2, 5, 6, 9, 12, 13, 21, 25
 Confidence intervals (means, with variance unknown)  6.4  1-8 (use the decision tree on page 290), 9, 17, 27
 Ch. 6 review  p. 309  1
 Hypothesis testing  7.2  1, 2, 5-21, 25, 29, 30, 33, 35
 Hypothesis testing (proportions)  7.3  1, 3, 4, 7, 15
 Hypothesis testing (means, with variance known)  7.4  5, 9, 10
Hypothesis testing (means, with variance unknown)  7.5  1-4, 9, 13
 Ch. 7 review  p. 371  3
 Two sample hypothesis tests (proportions)  8.2 1, 5, 7, 13, 14
Two sample hypothesis tests (means)  8.3 1, 2, 5, 6, 9
Two sample hypothesis tests (matched pairs)  8.4 1, 5, 9
 Ch. 8 review  p. 422  2
 Correlation  9.2  1, 5, 11 (try 5 and 11 in JMP), 22-25
 Regression  9.3  1 (note that if there is no significant linear relationship between x and y, then ybar is the best predictor of y), 3, 11 (try in JMP)
 Regression continued  9.4  1 (R-squared is also called the coefficient of determination), 3, 5-7
 Multiple regression  9.5  1, 3-5, 7
 ANOVA  11.2  1, 3
 Chi-square: Goodness of fit  10.2  1, 7
 Chi-square: Independence  10.3  3, 9
 Ch. 10 review  pp. 526-527  3