Class Information

Class notes for Math 58(B) at Pomona College: Introduction to (Bio)Statistics. The notes are based extensively on “Introductory Statistics with Randomization and Simulation” by Diez, Barr, and etinkaya-Rundel (Diez, Barr, and Çetinkaya-Rundel 2014). We will also be using many examples (and applets) from “Investigating Statistics, Concepts, Applications, and Methods” by Chance and Rossman (Chance and Rossman 2018).

You are responsible for reading the relevant chapters in the text. The text is very good & readable, so you should use it. Also, you will have a much deeper understanding of the material if you spend time working through the applets at http://www.rossmanchance.com/iscam3/files.html. You should make sure you are coming to class and also reading the materials associated with the activities.

Day Topic Book Chap Notes Section
1/21/20 Intro to Data / R 2 [intro], 2.1 [Jan21]
1/23/20 Foundations for Inference ISRS 2.1-2.3 3.1 [Jan23], 3.2 [Examp: gender]
1/28/20 Normality ISRS 2.4-2.5 3.4 [Jan28], 3.5.1 [CLT]
1/30/20 Normality ISRS 2.6-2.7 3.6 [Jan30], 3.6.1 [Normal Dist]
2/4/20 Confidence Intervals ISRS 2.8 3.7 [Feb4], 3.8 [CI]
2/6/20 Confidence Intervals ISRS 2.8 3.9 [Feb6], 3.8.3 [modifying CI]
2/11/20 Sampling ISRS 1.3-1.4 3.10 [Feb11], 3.11 sampling
2/13/20 Errors & Power ISRS 3.1 & 2.3 3.12 [Feb13], 3.13 [Errors&Power]
2/18/20 58: Binomial distrib, 58B: RR & OR ISCAM Chp 1 4.2 [Feb18 M58], 4.5 [Feb18 M58B]
2/20/20 58: Binomial Power, 58B: CIs for RR & OR ISCAM 3.9-3.11 4.3 [Feb20 M58], 4.6 [Feb20 M58B]
2/25/20 Two binary variables ISRS 3.2 4.9 [Feb25] 4.10 [Diff 2 Prop]
2/27/20 Experiments ISRS 1.4 & 1.5 4.11 [Feb27] 4.12 [Experiments
3/3/20 chi-sq one variable ISRS 3.3 4.13 [Mar3] 4.14 [ChiSq 1 Var]
3/5/20 chi-sq two variables ISRS 3.4 4.15 [Mar5] 4.16 [ChiSq 2 Vars]
3/10/20 review for Exam 1
3/12/20 Exam 1
3/17/20 Spring Break 1
3/19/20 Spring Break 1
3/24/20 Spring Break 2 Census 4.20 Census
3/26/20 Spring Break 2 COVID-19 4.22 COVID-19
3/31/20 Sampling Dist of \(\overline{X}\) ISRS 4.1 & Inv 2.4 5.1 [Mar31] 5.2.2 [Dist 1 mean]
4/2/20 Inference on \(\mu\) ISRS 4.1 & Inv 2.5 5.3 [Apr2] 5.5 [Inf 1 mean]
4/7/20 Prediction Intervals Inv 2.6 5.4 [Apr7] 5.5.1.3 [Pred Int]
4/9/20 Distribution of \(\overline{X}_1 - \overline{X}_2\) ISRS 4.3 & Inv 4.2 5.6 [Apr9] 5.8 [Inf 2 means]
4/14/20 Inference on \(\mu_1 - \mu_2\) ISRS 4.3 & Inv 4.5 - 4.6 5.7 [Apr14] 5.8 [Inf 2 means]
4/16/20 Correlation (r) ISRS 5.1 & Inv 5.6 - 5.7 6.1 [Apr16] 6.2 [Cor]
4/21/20 Least Squares line ISRS 5.2 & Inv 5.10 - 5.11 6.3 [Apr21] 6.5.1 [LS line]
4/23/20 Inference on \(\beta_1\) ISRS 5.3 - 5.4 & Inv 5.13 - 5.14 6.4 [Apr23] 6.5.2 [Inf \(\beta_1\)]
4/28/20 Multiple Linear Regression ISRS 6.1 - 6.2 6.6 [Apr28] 6.8 [MLR]
4/30/20 Model Selection ISRS 6.3 - 6.4 6.7 [Apr30] 6.8.1 [MLR model]
5/5/20 review 6.9.3 [1918-19 Flu]

References

Chance, Beth, and Allan Rossman. 2018. Investigating Statistics, Concepts, Applications, and Methods. 3rd ed. http://www.rossmanchance.com/iscam3/.

Diez, David, Christopher Barr, and Mine Çetinkaya-Rundel. 2014. Introductory Statistics with Randomization and Simulation. 1st ed. https://www.openintro.org/.