Probability and Statistics (Summer 2023)

General Information

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Class Handouts and References


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Chapter 1

1.1 Statistical and Critical Thinking

1.2 Types of Data

1.3 Collecting Sample Data

Chapter 2

2.1 Frequency Distributions for Organizing and Summarizing Data

2.2 Histograms (by publisher)

2.3 Graphs That Enlighten and Graphs That Deceive (by publisher)

2.4 Scatterplots, Correlation, and Regression (by publisher)

Chapter 3

3.1 Measure of Center

3.2 Measure of Variation

3.3 Measure of Relative Standing and Boxplots

Chapter 4

4.1 Basic Concepts of Probability

4.2 Addition Rule and Multiplication Rule

4.3 Complements and Conditional Probability and Baye's Theorem

4.4 Counting

Chapter 5

5.1 Probability Distributions

5.2 Binomial Probability Distributions

5.3 Poisson Probability Distributions

Chapter 6

6.1 The Standard Normal Distribution

6.2 Real Applications of Normal Distributions

6.3 Sampling Distribution and Estimators

6.4 The Central Limit Theorem

6.5 Assessing Normality

6.6 Normal as Approximation to Binomial

Chapter 7

7.1 Estimating a Population Proportion

7.2 Estimating a Population Mean

7.3 Estimating a Population Standard Deviation or Variance

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Schedule

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