| Date | Topics Covered | Background Reading |
|---|---|---|
| 05/14 | Introduction, Purpose of Statistics,
Populations, Parameters, Statistics, Sample, Scientific Method | |
| Section 1 - Data Collection | ||
| 05/15 | Sampling techniques Overview, Designed Experiments, Principles of good experimental design, Randomization in designed experiments, Blind and double blind experiments | |
| 05/16 | Observational Studies, benefits of observational studies, sampling techniques in observational studies, types of bias in observational studies | |
| Section 2 - Summarizing Data | ||
| 05/19 | Introduction to descriptive statistics, distributions, types of data, techniques for summarizing quantitative data. | |
| 05/20 | Describing plots, mean, standard deviation, IQR, 5 number summary, box plots. | Chapters 3 and 4 |
| 05/21 | Strategies for summarizing categorical data, pie charts, bar charts, cross-tabulating data, strategies for summarizing bivariate data, scatter plots, linear correlation. | Chapters 7 and 8 |
| Section 3 - Probability | ||
| 05/22 | Introduction to probability, definition, random variables, distribution of random variables, calculating probabilities for simple random variables, "or" and probability. | Chapter 14 |
| 05/23 | "and" and probability, "or" and probability revisited, independence, multiplication rule. | Chapter 13 |
| 05/26 | Memorial Day -- no class. Enjoy the break. | |
| 05/27 | Introduction to probability for continuous random variables, standardizing values, the normal distribution. | Chapter 5 |
| 05/28 | Calculating probabilities for normal random variables, finding percentiles for normal random variables, examples | Chapter 5 |
| Section 4 - Inference on the Mean of a Population | ||
| 05/29 | Introduction to analysis, writing statistical hypotheses, p-values, steps to hypothesis testing. | Chapter 26 |
| 05/30 | statistical significance, practical significance, sampling distributions, standard errors, central limit theorem | Chapter 26 |
| 06/02 | Errors in hypothesis testing, review for the exam | Chapter 26 |
| 06/03 | Midterm Exam 1 - Covering material in Sections 1-3 | |
| 06/04 | Constructing confidence intervals, confidence levels, margin of error | Chapter 21 |
| 06/05 | Steps to inference with confidence intervals, duality of confidence intervals and hypothesis tests, introduction to t procedures. | Chapter 26 |
| 06/06 | T-test, t confidence intervals, robustness, steps to hypothesis testing using the t distribution | Chapter 26 |
| 06/09 | Introduction to analysis of proportions, sampling distribution of p-hat, hypothesis testing and confidence intervals for proportions. Hypothesis testing and confidence intervals in general. | Chapter 21 |
| 06/10 | No Class | |
| Section 5 - Comparing Means of Several Populations | ||
| 06/11 | Comparing 2 sample means, writing hypotheses for 2 sample problems | |
| 06/12 | Comparing 2 sample proportions, examples of two sample tests. | |
| 06/13 | Introduction to ANOVA, the F-statistics, the ANOVA table, ANOVA hypotheses | |
| Section 6 - Inference Using Regression | ||
| 06/16 | Final thoughts on ANOVA, Example, Introduction to Regression Methods, Review for Exam 2 | Chapter 8 |
| 06/17 | Midterm Exam 2 - Covers Sections 1-4 | |
| 06/18 | Example regression problem, residuals, r-squared, statistical inference in regression, review Exam 2 | Chapter 10 |
| 06/19 | Statistical inference in regression, t-testing for regression, the regression assumptions | Chapter 10 |
| 06/20 | Examples of regression problems, prediction intervals, Introduction to multiple linear regression | Chapter 11 |
| 06/23 | Introduction to the idea of multiple linear regression, course evaluations, review for Final | Chapter 12 |
| 06/24 | Reading Day | |
| 06/25 | Final Exam 9-12 |