Problem Sets from McClave & Sincich

Exam 1

Introductory Concepts

1.11, 1.13, 1.17, 1.25

Graphing

Qualitative data: 2.1, 2.3, 2.11

Quantitative data: 2.17, 2.23 (note that the text has the reverse classification for skewness as most statisticians)

Descriptive Statistics

Measures of central tendency: 2.37, 2.41

Measures of variability or dispersion: 2.55, 2.57, 2.61

Normal Distributions

General concepts: 5.49a, 5.51

Z-scores: 2.75b, 2.77, 2.85, 2.89, 2.93, 5.15, 5.17b-h, 5.19, 5.25, 5.29, 5.31, 5.35

Sample Distributions (Standard error of the mean)

6.15, 6.19, 6.25a,c,d, 6.27

Statistical Inference

8.33

t-tests

One sample: 8.51, 8.53, 8.55 (run the analysis yourself), 8.59

Exam 2

t-tests

Paired t-test: 9.29, 9.35

Variance ratio test: 9.73, 9.77

Analysis of Variance

One-factor ANOVA: 10.27 (but note that normally α=0.05, not 0.10 as is the case here)

Two-factor ANOVA without replication: 10.43, 10.49

Two-factor ANOVA with replication: 10.65, 10.67, "Statistics in Action" p. 500-501

Exam 3

Non-parametric tests

Wilcoxon Rank Sum test: 14.15a, 14.19a

Wilcoxon Signed Rank test: 14.31

Kruskal-Wallis test: 14.41

Friedman test: 14.55

Binomial Probabilities

4.37, 4.45, 4.55