Welcome to Math 221
This textbook contains 24 lessons divided into four units. The first unit establishes the Statistical Process and some theoretical foundations for working with quantitative data. The second unit applies these theoretical concepts to real world data analysis with quantitative data. The third unit does the same, but with categorical data. The final unit takes a look at bivariate data by studying scatterplots, correlation, and simple linear regression.
Lesson 1: (On Campus) Course Intro & Probability Show Outcomes By the end of this lesson, you should be able to:

Lesson 1: (Online) Course Intro & Probability Show Outcomes By the end of this lesson, you should be able to:

Lesson 1: (World Wide Block) Course Intro & Probability Show Outcomes By the end of this lesson, you should be able to:

Lesson 2: The Statistical Process & Design of Studies Show Outcomes By the end of this lesson, you should be able to:

Lesson 3: Describing Quantitative Data (Shape & Center) Show Outcomes By the end of this lesson, you should be able to:

Lesson 4: Describing Quantitative Data (Spread) Show Outcomes By the end of this lesson, you should be able to:

Lesson 5: Normal Distributions Show Outcomes By the end of this lesson, you should be able to:

Lesson 6: Distribution of Sample Means & The Central Limit Theorem Show Outcomes By the end of this lesson, you should be able to:

Lesson 7: Calculating Probabilities involving the Sample Mean Show Outcomes By the end of this lesson, you should be able to:

Lesson 8: Review for Exam 1 Show Outcomes Unit 1 Review. The expectation on the Unit 1 Exam is that you should be able to do the following:

Lesson 9: Inference for One Mean with Sigma Known (Hypothesis Test) Show Outcomes By the end of this lesson, you should be able to:

Lesson 10: Inference for One Mean with Sigma Known (Confidence Interval) Show Outcomes By the end of this lesson, you should be able to:

Lesson 11: Inference for One Mean (Sigma Unknown) Show Outcomes By the end of this lesson, you should be able to do the following with regards to confidence intervals and hypothesis testing. Regarding Confidence Intervals for a single mean with \(\sigma\) unknown:
Regarding Hypothesis Testing for a single mean with \(\sigma\) unknown:

Lesson 12: Inference for the Mean of Differences (Two Dependent Samples) Show Outcomes By the end of this lesson, you should be able to do the following. Regarding Confidence Intervals for the mean of differences with dependent samples:
Regarding Hypothesis Testing for the mean of differences with dependent samples:

Lesson 13: Inference for the Difference of Means (Two Independent Samples) Show Outcomes 
Lesson 14: Inference with ANOVA (Several Independent Samples) Show Outcomes 
Lesson 15: Review for Exam 2 Show Outcomes 
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