Course Description
This course presents a connected introduction to probability and statistics using statistical inference as its theme. The course covers descriptive statistics, probability distributions including the binomial and normal distributions, confidence intervals and hypothesis tests, and linear regression and correlation with an emphasis on statistical inference.

Prerequisite
Math 098 with a grade of C or higher, or equivalent math placement score.

1. Introduction to Statistics
1-2 Statistical Thinking
1-3 Types of Data
1-4 Collecting Sample Data

2. Summarizing and Graphing Data 2-2 Frequency Distributions
2-3 Histograms
2-4 Graphs that Enlighten and Graphs that Deceive

3. Statistics for Describing, Exploring, and Comparing Data
3-2 Measures of Center
3-3 Measures of Variation
3-4 Measures of Relative Standing and Boxplots

4. Probability
4-2 Basic Concepts of Probability

5. Discrete Probability Distributions 5.2 Probability Distributions
5.3 Binomial Probability Distributions
5.4 Parameters for Binomial Distributions
5.5 Poisson Probability Distributions

6. Normal Probability Distributions 6-2 The Standard Normal Distribution
6-3 Applications of Normal Distributions
6-4 Sampling Distributions and Estimators
6-5 The Central Limit Theorem

7. Estimates and Sample Sizes
7-2 Estimating at Population Proportion
7-3 Estimating Population Mean
7-4 Estimating Population Standard Deviation or Variance

8. Hypothesis Testing 8-2 Basics of Hypothesis Testing
8-3 Testing a Claim About a Proportion
8-4 Testing a Claim About a Mean
8-5 Testing a Claim About a Standard Deviation or Variation

9. Inferences from Two Samples
9-2 Two Proportions
9-3 Two Means: Independent Samples
9-4 Two Dependent Samples (Matched Pairs)
9-5 Two Standard Deviations or Variances

10. Correlation and Regression 10-2 Correlation
10-3 Regression