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Jointly Distributed Random Variables, Expectation, and Properties: Study Notes

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Discrete Random Variables

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

Binomial Distribution

  • Guided course
    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

Poisson Distribution

  • Guided course
    Introduction to the Poisson Distribution
    04:00
  • Guided course
    Finding Poisson Probabilities Using TI-84
    03:37
  • Guided course
    Using the Poisson Distribution to Approximate the Binomial Distribution
    04:09

Hypergeometric Distribution

  • Guided course
    Introduction to the Hypergeometric Distribution
    05:15
  • Guided course
    Introduction to the Hypergeometric Distribution Example 1
    03:44

Uniform Distribution

  • Guided course
    Uniform Distribution
    06:06
  • Guided course
    Uniform Distribution Example 1
    02:50

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

Non-Standard Normal Distribution

  • Guided course
    Finding Z-Scores for Non-Standard Normal Variables Example 1
    06:21
  • Guided course
    Finding Values of Non-Standard Normal Variables from Probabilities
    04:05
  • Guided course
    Finding Z-Scores for Non-Standard Normal Variables
    03:17

Finding Probabilities, Z Values, and X Values with the Normal Distribution-Excel

  • Guided course
    Finding Z-Scores and X Values from Probabilities-Excel
    08:09
  • Guided course
    Finding Z-Scores and X Values from Probabilities-Excel Example 2
    03:05
  • Guided course
    Finding Probabilities from Z-Scores and X Values-Excel Example 1
    05:07

Mean

  • Guided course
    Calculating the Mean
    04:52
  • Guided course
    Calculating the Mean Example 1
    03:08

Standard Deviation

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

Interpreting Standard Deviation

  • Guided course
    Empirical Rule of Standard Deviation and Range Rule of Thumb Example 1
    05:42
  • Guided course
    Empirical Rule of Standard Deviation and Range Rule of Thumb Example 2
    01:56
  • Guided course
    Empirical Rule of Standard Deviation and Range Rule of Thumb
    07:10

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

Introduction to Confidence Intervals

  • Guided course
    Critical Values: z Scores
    04:46
  • Guided course
    Introduction to Confidence Intervals
    06:33

Steps in Hypothesis Testing

  • Guided course
    Step 4: State Conclusion
    09:56
  • Guided course
    Step 2: Calculate Test Statistic
    06:34
  • Guided course
    Step 1: Write Hypotheses
    06:21

Scatterplots & Intro to Correlation

  • Guided course
    Scatterplots & Intro to Correlation Example 1
    05:14
  • Guided course
    Scatterplots & Intro to Correlation
    06:36
  • Guided course
    Creating Scatterplots - Graphing Calculator
    05:26

Correlation Coefficient

  • Guided course
    Correlation Coefficient
    05:43
  • Guided course
    Calculating Correlation Coefficient - Graphing Calculator
    04:40
  • Guided course
    Calculating Correlation Coefficient - Graphing Calculator Example 1
    03:44

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

Multiple Regression - Excel

  • Guided course
    Multiple Regression - Excel
    06:37
  • Guided course
    Multiple Regression - Excel Example 1
    05:08
  • Guided course
    Irrelevant Variables - Excel Example 2
    05:06

Introduction to ANOVA

  • Guided course
    ANOVA Test
    05:31
  • Guided course
    ANOVA Test Using TI-84
    04:58
  • Guided course
    ANOVA Test Using TI-84 Example 1
    02:43