Augsburg University DST 164: Introduction to Statistics (with R) 2022 Fall Monday August 29 Wednesday August 31 Friday September 2 No classes Introduction; 1.1 The Structure of Data September 5 September 7 1.2 Sampling from a Population & Introduction to R September 9 ** Last day to add/drop (without notation) ** 1.3 Experiments and Observational Studies No classes: Labor Day September 12 1.2 Sampling from a Population & More Introduction to R September 14 2.1 Categorical Variables 2.2 One Quantitative Variable: Shape and Center September 19 September 21 2.4 Boxplots and Quantitative/Categorical Relationships September 26 Visualizing Boxplots and Quantitative/Categorical Variables in R September 28 September 30 Exam 1 2.5 Two Quantitative Variables: Scatterplot and Correlation October 5 2.6 Two Quantitative Variables: Linear Regression October 7 Visualizing Quantitative Variables and Simple Linear Regression in R October 12 3.1 Sampling Distributions 3.2 Understanding and Interpreting Confidence Intervals October 17 3.3 Constructing Bootstrap Confidence Intervals October 19 3.4 Bootstrap Confidence Intervals Using Percentiles October 21 Bootstrap and Confidence Intervals in R October 24 Review October 26 No classes: Fall Break October 28 Exam 2 4.1 Introducing Hypothesis Tests 4.2 Measuring Evidence with P-Values October 31 November 2 November 4 4.3 Determining Statistical Significance 4.4 A Closer Look at Testing November 7 November 9 5.1 Hypothesis Tests Using Normal Distributions Normal Distributions in R November 14 5.2 Confidence Intervals Using Normal Distributions November 16 Review Exam 3 November 21 November 23 6.1 Inference for a Proportion (Distribution and Confidence Interval) November 26 6.1 Inference for a Proportion November 28 6.2 Inference for a Mean November 30 No classes: Thanksgiving Break December 2 6.3 Inference for a Difference in Proportions December 5 6.4 Inference for a Difference in Means December 7 Inference in R December 9 7.1. Testing Goodness-of-Fit for a Single Categorical Variable December 12 7.2. Testing for an Association between Two Categorical Variables December 14 ** Last day of regular class ** Section A: Exam 4 Section B: Exam 4 (8:30-10:30 a.m.) (12:00-2:00 p.m.) October 3 2.7 Data Visualization and Multiple Variables October 10 ** Last day to designate P/LP/N grading is December 27, 2022 ** September 16 2.3 One Quantitative Variable: Measures of Spread September 23 Review October 14 ** Last day to withdraw ** 4.5 Making Connections November 11 November 18 Review X.y = Chapter X, Section y of Statistics: Unlocking the Power of Data 2nd edition by Locke5