Notes for the Fall 2016 MW Statistics class are posted below. This semester we used the book Introductory Statistics, 10th Edition, by Weiss.
2.2: Organizing qualitative data (Monday, September 12 and Wednesday, September 14)
2.3: Organizing quantitative data (Wednesday, September 14)
2.4: Distribution shapes (Monday, September 19)
3.1: Measures of center (Monday, September 19)
3.2: Measures of variation (Wednesday, September 21)
3.3: Chebyshev’s Rule and the Empirical Rule (Monday, September 26)
3.4: The five-number summary and boxplots (Wednesday, September 28)
3.5: Descriptive measures for populations; use of samples (Monday, October 3)
(I did not post any worked-out notes for 2.5, because I did not add anything to the file. To see what we discussed for 2.5, look at the Blank Notes version.)
Set Theory Supplement for Chapter 4 (Wednesday, October 5)
4.1 and 4.2: Probability basics and events ((Wednesday, October 5 and Monday, October 10)
4.5: Conditional probability (Wednesday, October 12)
4.6: The multiplication rule; independence (Wednesday, October 12)
4.3: Some rules of probability (Monday, October 17)
4.8: Counting rules (Monday, October 17 and Wednesday, October 19)
5.1: Discrete random variables and probability distributions (Wednesday, October 19)
5.2: Mean and standard deviation of a discrete random variable (Wednesday, October 19)
5.3: The binomial distribution (Monday, October 24)
6.1: Introducing normally distributed variables (Monday, October 31)
6.2: Areas under the standard normal curve (Monday, October 31 and Wednesday, November 2)
6.3: Working with normally distributed variables (Wednesday, November 2)
7.1, 7.2, 7.3: Sampling distribution of the sample mean (Monday, November 7)
8.1: Estimating a population mean (Monday, November 7)
8.3: Confidence intervals for one population mean when the population standard deviation is unknown (Wednesday, November 9)
9.1: The nature of hypothesis testing (Wednesday, November 9)
9.5: Hypothesis tests for one population mean when sigma is unknown (Wednesday, November 9)
We will skip 9.2 and 9.4 altogether.
10.1: Sampling distribution of the difference between two means (Monday, November 14)
10.3: Inferences for two population means: Variances not assumed equal (Monday, November 14 and Monday, November 21)
12.1: Confidence intervals for one population proportion (Monday, November 21)
12.2: Hypothesis tests for one population proportion (Monday, November 28)
12.3: Inferences for two population proportions (Monday, November 28)
14.1, 14.2, 14.4: Linear regression and correlation (Wednesday, November 30)
If you want more help on Section 5.3 (The Binomial Distribution), watch my videos:
Go to http://apps.lonestar.edu/blogs/lsc-northharrismath/videos/math-1324/ and then click on the two videos for 11.4 (Binomial probability and the binomial distribution). These were created for Math 1324 (Finite Math) which partially overlaps with our class.