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Stat 101 Exam 2 Study Guide: Chapters 6–15 (Contingency Tables, Sampling, Probability, Binomial, and Sampling Distributions)

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Introduction to Contingency Tables

  • Guided course
    Introduction to Contingency Tables
    05:35
  • Guided course
    Introduction to Contingency Tables Example 2
    03:05
  • Guided course
    Introduction to Contingency Tables Example 1
    04:15

Sampling Methods

  • Guided course
    Sampling Methods Example 2
    03:07
  • Guided course
    Simple Random Sampling Example 1
    01:30
  • Guided course
    Sampling Methods
    05:27

Basic Concepts of Probability

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    Introduction to Probability
    5:37

Complements

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    Complementary Events
    4:23

Addition Rule

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    Probability of Mutually Exclusive Events
    5:14
  • Guided course
    Probability of Non-Mutually Exclusive Events Example
    2:57
  • Guided course
    Probability of Non-Mutually Exclusive Events
    5:14

Multiplication Rule: Independent Events

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    Probability of Multiple Independent Events
    05:54

Multiplication Rule: Dependent Events

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    Conditional Probability Rule Example 1
    03:06
  • Guided course
    Multiplication Rule: Dependent Events
    05:17
  • Guided course
    Conditional Probability Rule
    03:53

Bayes' Theorem

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     Bayes' Theorem Example 1
    02:32
  • Guided course
    Bayes' Theorem
    05:10

Binomial Distribution

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    Finding Binomial Probabilities Using TI-84 Example 1
    03:33
  • Guided course
    Finding Binomial Probabilities Using TI-84 Example 2
    04:20
  • Guided course
    Mean & Standard Deviation of Binomial Distribution
    03:28

Sampling Distribution of the Sample Mean and Central Limit Theorem

  • Guided course
    Central Limit Theorem Example 1
    02:33
  • Guided course
    Central Limit Theorem
    05:14
  • Guided course
    Sampling Distribution of Sample Mean
    06:53