Wednesday, Jan 11. Introduction and the “big picture”.

Friday, Jan 13. Describing distributions. The first homework set on describing distributions is now available.


Monday, Jan 16. Holiday

Wednesday, Jan 18. Summary measures continued — measures of variability, cumulative distributions, percentiles, box plots. The second homework set that concerns cumulative distributions, percentiles, and box plots is now available.

Friday, Jan 20. Normal-shaped distributions, z-scores.


Monday, Jan 23. Identifying outliers, margin of error. The third homework set is now available. The study guide for the first examination is also now available.

Wednesday, Jan 25. Margin of error — continued, statistical significance, explanatory and response variables, types of studies.

Friday, Jan 27. Exam 1


Monday, Jan 30. Introduction to probability, random variables, and probability distributions.

Wednesday, Feb 1. Computing probabilities from probability distributions. A homework assignment on working with probability distributions is now available.

Friday, Feb 3. Deriving sampling distributions. A homework assignment on deriving sampling distributions is now available.


Monday, Feb 6. Sampling distributions of \(\bar{x}\) and \(\hat{p}\). A set of homework problems concerning the sampling distributions of \(\bar{x}\) and \(\hat{p}\) is now available.

Wednesday, Feb 8. The central limit theorem, estimation. The study guide for the second examination is now available.

Friday, Feb 10. Estimation and sampling distributions.


Monday, Feb 13. Exam 2

Wednesday, Feb 15. Sampling distributions, estimation, and an introduction to confidence intervals.

Friday, Feb 17. Confidence intervals for \(p\) and \(\mu\). A set of homework problems on confidence intervals for \(p\) and \(\mu\) is now available.


Monday, Feb 20. Holiday

Wednesday, Feb 22. Sampling with versus without replacement and estimating totals. A set of homework problems on this topic is now available.

Friday, Feb 24. Choosing a sample size. A set of homework problems on sample size selection is now available.


Monday, Feb 27. Assumptions. The study guide for the third examination is now available.

Wednesday, Mar 1. The randomized response method.

Friday, Mar 3. Exam 3


Monday, Mar 6. Introduction to statistical tests.

Wednesday, Mar 8. p-values, statistical tests concerning \(p\). A set of homework problems on statistical tests concerning \(p\) is now available.

Friday, Mar 10. Statistical tests concerning \(\mu\). A set of homework problems on statistical tests concerning \(\mu\) is now available.


Monday, Mar 13. Spring Recess

Wednesday, Mar 15. Spring Recess

Friday, Mar 17. Spring Recess


Monday, Mar 20. Composite hypotheses, the relationship between tests and confidence intervals, and the sign test. A set of homework problems on these topics is now available.

Wednesday, Mar 22. Type I and Type II errors in statistical tests. The study guide for the fourth examination is now available.

Friday, Mar 24. Power.


Monday, Mar 27. Exam 4

Wednesday, Mar 29. Independent versus dependent samples, inferences for \(p_1-p_2\). A set of homework problems concerning inferences for \(p_1-p_2\) is now available.

Friday, Mar 31. Inferences for \(\mu_1-\mu_2\). A set of homework problems concerning inferences for \(\mu_1-\mu_2\) is now available.


Monday, Apr 3. Independent versus dependent samples, an alternative standard error for \(\bar{x}_1-\bar{x}_2\).

Wednesday, Apr 5. Causal inference.

Friday, Apr 7. Survey sampling designs. The study guide for the fifth examination is now available.


Monday, Apr 10. Misconceptions and limitations of statistical tests.

Wednesday, Apr 12. Exam 5

Friday, Apr 14. Goodness-of-fit tests.


Monday, Apr 17. Goodness-of-fit tests and tests of independence. A set of homework problems on these topics is now available.

Wednesday, Apr 19. Class meeting in Albertson (ALB) 204. Mark-recapture designs and abundance estimation. A set of homework problems on this topic is now available.

Friday, Apr 21. No class.


Monday, Apr 24. Cramer’s V and McNemar’s Test. The study guide for the sixth examination is now available.

Wednesday, Apr 26. Simpson’s paradox, Berkson’s paradox, the ecological fallacy, suppressor variables, and spurious relationships.

Friday, Apr 28. Exam 6


Monday, May 1. Correlation and regression. The study guide for the final examination is now available.

Wednesday, May 3. Regression models.

Friday, May 5. Final examination informal review. Attendance not required.


Tuesday, May 9. Final Examination, 10:15 to 12:15