These notes are based on the book Introductory Statistics, 10th Edition, by Neil Weiss.
2.2: Organizing qualitative data (Thursday, September 7)
2.3: Organizing quantitative data (Tuesday, September 12)
2.4: Distribution shapes (Thursday, September 14)
3.1: Measures of center (Thursday, September 14)
3.2: Measures of variation (Thursday, September 14 and Tuesday, September 19)
3.3: Chebyshev’s Rule and the Empirical Rule (Tuesday, September 19 and Thursday, September 21)
3.4: The five-number summary and boxplots (Thursday, September 21 and Tuesday, September 26
3.5: Descriptive measures for populations; use of samples (Tuesday, September 26)
Set theory supplement for Chapter 4 (Tuesday, October 3)
4.1 and 4.2: Basic probability and events (Tuesday, October 3 and Thursday, October 5)
4.3: Some rules of probability (Thursday, October 5 and Tuesday, October 10)
4.8: Counting techniques (Tuesday, October 10)
5.1: Discrete random variables and probability distributions (Tuesday, October 10)
5.2: The mean and standard deviation of a discrete random variable (Thursday, October 12)
5.3: The binomial distribution (Tuesday, October 17)
6.1: Introducing normally distributed variables (Tuesday, October 24)
6.2: Areas under the standard normal curve (Tuesday, October 24 and Thursday, October 26)
6.3: Working with normally distributed variables (Thursday, October 26)
7.1, 7.2, 7.3: The sampling distribution of the sample mean (Tuesday, October 31 and Thursday, November 2)
8.1: Estimating a population mean (Thursday, November 2)
8.3: Confidence intervals for one population mean when population standard deviation is unknown (Thursday, November 2)
9.1: The nature of hypothesis-testing (Tuesday, November 7 and Tuesday, November 14)
9.2: Critical-value approach to hypothesis testing (Tuesday, November 14)
9.5: hypothesis tests for one population mean when sigma is unknown (Tuesday, November 14 and Thursday, November 16)
10.1: Sampling distribution of the difference between two means (Thursday, November 16)
10.3: Inferences for two population means: Variances not assumed equal (Thursday, November 16 and Tuesday, November 21)
12.1: Confidence intervals for one population proportion (Tuesday, November 21)
12.2: Hypothesis tests for one population proportion2 (Tuesday, November 28)
12.3: Inferences for two population proportions (Thursday, November 30)
Feel free to also view my archived notes for Math 1342. (Note: Spring 2016 we used a different book, so the section numbering will be different; during Fall 2016, Spring 2017, and Summer 2017, we used used the same book as we are currently using for Fall 2017).