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