Course Schedule

WeekLecture TopicBook Chapter
(pages)
In- class ActivityHomework
Exercise number (textbook page) 

1Statistics and samples
Displaying data
CH1: Intro to data
(12 – 29, 33 - 35, 37 - 40, 43 - 45, 48 - 49)
R: Intro to R1.7 (77), 1.25 (82), 1.30 (84)
2Describing dataCH1: Intro to data
(30 - 32, 34)
R: Displaying & describing data1.31 (84)
3Estimating with uncertaintyCH4: Foundations for inference
(200 -211)
R: SE & Confidence intervals4.4 (229)
4ProbabilityCH2: Probability
(90 - 116)
Probability Problems set2.18 (132)
5Hypothesis testingCH4: Foundations for inference
(212 - 226)
Hypothesis testing Problems set4.12 (232), 4.22 (235)
6Analyzing proportions
Binomial test
CH3: Distribution of random variables
(140 – 151, 388 - 392)
R: Proportions3.17 (188)
7Probability models
Contingency analysis
CH8: Inference for categorical data
(168 – 169, 401 - 415)
R: Contingency test8.27 (428), 8.40 (432)
8MIDTERM
9The normal distributionCH3: Distribution of random variables
(152 – 167)
R: Normal distribution3.26 (190)
10One sample t - testCH5: Inference for numerical data
(238 - 243)
R: One sample t - test5.7 (275)
11Comparing two meansCH5: Inference for numerical data
(244 - 256)
R: Two sample t - test5.15, 5.16 (277)
12Handling violations of assumptions
Experimental Design
CH1: Intro to data
(24 – 29, 36)
R: Handling violations of assumptions
13Comparing means of more than 2 groupsCH5: Inference for numerical data
(264 - 271)
R: ANOVA5.40 (285)
14Correlation
Regression
CH6: Simple linear regression
(40 – 43, 293 - 302, 305 - 307)
R: Correlation and Regression6.8 (319)
15Multifactorial analysis
16Review for final exam