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Study Guide: Regression, Probability, and the Normal Model in Statistics

Study Guide - Learn with Videos

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Linear Regression & Least Squares Method

  • Guided course
    Using Regression Lines to Predict Values
    04:57
  • Guided course
    Intro to Least Squares Regression Example 1
    05:02
  • Guided course
    Intro to Least Squares Regression
    07:01

Coefficient of Determination

  • Guided course
    Coefficient of Determination
    06:14

Basic Concepts of Probability

  • Guided course
    Introduction to Probability
    5:37

Complements

  • Guided course
    Complementary Events
    4:23

Addition Rule

  • Guided course
    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

  • Guided course
    Probability of Multiple Independent Events
    05:54

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

Multiplication Rule: Dependent Events

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

Standard Deviation

  • Guided course
    Calculating Standard Deviation
    08:45
  • Guided course
    Calculating Standard Deviation Example 1
    02:59

Percentiles & Quartiles

  • Guided course
    Percentiles and Quartiles Example 1
    04:30
  • Guided course
    Percentiles and Quartiles
    07:11

Standard Normal Distribution

  • Guided course
    Z-Scores from Probabilities
    08:50
  • Guided course
    Probabilities Between Two Values
    03:50
  • Guided course
    Finding Standard Normal Probabilities using z-Table
    09:47