These class notes are based on the book Introductory Statistics, 10th Edition, by Neil Weiss.
2.2: Organizing qualitative data (Monday, June 5)
2.3: Organizing quantitative data (Monday, June 5 and Tuesday, June 6)
2.4: Distribution shapes (Tuesday, June 6)
3.1: Measures of center (Tuesday, June 6 and Wednesday, June 7)
3.2: Measures of variation (Wednesday, June 7)
3.5: Descriptive measures for populations, use of samples (Wednesday, June 7)
3.3: Chebyshev’s Rule and the Empirical Rule (Monday, June 12, carried over from Thursday, June 8)
3.4: The five-number summary and boxplots (Monday, June 12, carried over from Thursday, June 8)
Set Theory Supplement for Chapter 4 (Monday, June 12)
4.1 and 4.2: Basic probability and events (Tuesday, June 13)
4.3: Some rules of probability (Tuesday, June 13)
4.8: Counting techniques (Thursday, June 15)
5.1: Discrete random variables and probability distributions (Thursday, June 15)
5.2: The mean and standard deviation of a discrete random variable (Thursday, June 15 and Monday, June 19)
5.3: The binomial distribution (Monday, June 19 and Tuesday, June 20)
6.1: Introducing normally distributed variables (Tuesday, June 20)
6.2: Areas under the standard normal curve (Tuesday, June 20 and Wednesday, June 21)
6.3: Working with normal distributions (Wednesday, June 21)
7.1, 7.2, 7.3: Sampling distribution of the sample mean (Wednesday, June 21 and Thursday, June 22)
8.1: Estimating a population mean (Thursday, June 22)
8.3: Confidence intervals for one population mean when the population standard deviation is unknown (Thursday, June 22)
9.1: The nature of hypothesis testing
9.2: Critical-value approach to hypothesis-testing
9.5: Hypothesis tests for one population mean when sigma is unknown
10.1: Sampling distribution of the difference between two means
10.3: Inferences for two population means: Variances not assumed equal (Wednesday, June 28)
12.1: Confidence intervals for one population proportion (Thursday, June 29)
12.2: Hypothesis tests for one population proportion (Thursday, June 29)
12.3: Inferences for two population proportions (Monday, July 3)
14.1, 14.2, 14.3: Linear regression and correlation (Wednesday, July 5)