Our worked-out class notes will be posted here. These notes are based on the book Introductory Statistics, 10th Edition, by Neil Weiss.
2.2: Organizing qualitative data (Thursday, January 19)
2.3: Organizing quantitative data (Tuesday, January 24 and (Thursday, January 26))
2.4: Distribution shapes (Thursday, January 26)
3.1: Measures of center (Tuesday, January 31)
3.2: Measures of variation (Tuesday, January 31 and continued on Thursday, February 2)
3.3: Chebyshev’s Rule and the Empirical Rule (Thursday, February 2)
3.4: The five-number summary and boxplots (Tuesday, February 7)
3.5: Descriptive measures for populations; use of samples (Thursday, February 9)
Set theory supplement for Chapter 4 (Thursday, February 9)
4.1 and 4.2: Probability basics and events (Thursday, February 9 and Thursday, February 16)
4.3: Some rules of probability (Thursday, February 16 and Tuesday, February 21)
4.8: Counting techniques (Tuesday, February 21 and Thursday, February 23)
5.1: Discrete random variables and probability distributions (Thursday, February 23)
5.2: The mean and standard deviation of a discrete random variable (Tuesday, February 28)
5.3: The binomial distribution (Tuesday, February 28 ad Thursday, March 2)
6.1: Introducing normally distributed variables (Thursday, March 2)
6.2: Areas under the standard normal curve (Tuesday, March 7)
6.3: Working with normally distributed variables (Tuesday, March 21 and Thursday, March 23)
7.1, 7.2, 7.3: Sampling distribution of the sample mean (Thursday, March 23 and on Tuesday, March 28)
8.1: Estimating a population mean (Thursday, March 30)
8.3: Confidence intervals for one population mean when the population standard deviation is unknown (Thursday, March 30 and Tuesday, April 4)
9.1: The nature of hypothesis testing (Tuesday, April 4)
9.2: Critical-value approach to hypothesis-testing (Thursday, April 6)
9.5: Hypothesis tests for one population mean when sigma is unknown (Thursday, April 6)
10.1: Sampling distribution of the difference between two means (Thursday, April 13)
10.3: Inferences for two population means: Variances not assumed equal (Thursday, April 13 and Tuesday, April 18)
12.1: Confidence intervals for one population proportion (Tuesday, April 18)
12.2: Hypothesis tests for one population proportion (Thursday, April 20)
12.3: Inferences for two population proportions (Thursday, April 20 and Tuesday, April 25)
Chapter 14: Regression (Thursday, April 27)
Turn in 12.3 on Thursday 4/27 for the early submission bonus.