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Random Variables, Normal Probability Model, Sampling, and Confidence Intervals: Study Notes for Business Statistics

Study Guide - Learn with Videos

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Binomial Distribution

  • Guided course
    The Binomial Experiment Example 1
    02:58
  • Guided course
    Mean & Standard Deviation of Binomial Distribution
    03:28
  • Guided course
    Finding Binomial Probabilities Using TI-84 Example 1
    03:33

Poisson Distribution

  • Guided course
    Finding Probabilities Using the Poisson Distribution Example 2
    05:06
  • Guided course
    Finding Probabilities Using the Poisson Distribution Example 1
    06:34
  • Guided course
    Finding Probabilities Using the Poisson Distribution
    03:10

Standard Normal Distribution

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

Sampling Methods

  • Guided course
    Simple Random Sampling
    04:17
  • Guided course
    Simple Random Sampling Example 1
    01:30
  • Guided course
    Sampling Methods Example 2
    03:07

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

Confidence Intervals for Population Proportion

  • Guided course
    Finding a Confidence Interval for a Population Proportion Using a TI84
    02:35
  • Guided course
    Constructing Confidence Intervals for Proportions Example 2
    04:24
  • Guided course
    Constructing Confidence Intervals for Proportions
    05:45

Confidence Intervals for Population Mean

  • Guided course
    Finding Confidence Intervals Using TI-84
    04:30
  • Guided course
     Critical Values: t-Distribution Example 2
    04:06
  • Guided course
    Population Standard Deviation Unknown Example 3
    09:00