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Statistics Midterm 2 Review: Probability, Sampling, Regression, and Applications

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Basic Concepts of Probability

  • Percorso guidato
    Introduction to Probability
    5:37

Addition Rule

  • Percorso guidato
    Probability of Mutually Exclusive Events
    5:14
  • Percorso guidato
    Probability of Non-Mutually Exclusive Events Example
    2:57
  • Percorso guidato
    Probability of Non-Mutually Exclusive Events
    5:14

Multiplication Rule: Independent Events

  • Percorso guidato
    Probability of Multiple Independent Events
    05:54

Multiplication Rule: Dependent Events

  • Percorso guidato
    Conditional Probability Rule Example 1
    03:06
  • Percorso guidato
    Multiplication Rule: Dependent Events
    05:17
  • Percorso guidato
    Conditional Probability Rule
    03:53

Bayes' Theorem

  • Percorso guidato
    Bayes' Theorem Example 1
    02:32
  • Percorso guidato
    Bayes' Theorem
    05:10

Discrete Random Variables

  • Percorso guidato
    Expected Value (Mean) of Random Variables
    04:14
  • Percorso guidato
    Intro to Random Variables & Probability Distributions
    07:09
  • Percorso guidato
    Variance & Standard Deviation of Discrete Random Variables
    04:48

Binomial Distribution

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

Sampling Distribution of the Sample Mean and Central Limit Theorem

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