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ST 231 Winter 2026 Exam Guide: Key Topics in College Statistics

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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

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

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

Confidence Intervals for Population Mean

  • Guided course
    Finding t-Values Using a TI-84
    05:47
  • Guided course
    Critical Values: t-Distribution
    05:50
  • Guided course
    Finding Confidence Intervals Using TI-84
    04:30

Confidence Intervals for Population Proportion

  • Guided course
    Constructing Confidence Intervals for Proportions Example 1
    06:38
  • Guided course
    Finding the Minimum Sample Size Needed for a Confidence Interval
    04:08
  • Guided course
    Constructing Confidence Intervals for Proportions Example 2
    04:24

Confidence Intervals for Population Means - Excel

  • Guided course
    Finding Confidence Intervals for Means (Sigma Unknown)
    06:50
  • Guided course
    Finding Confidence Intervals for Means (Sigma Known)
    06:12
  • Guided course
    Finding Confidence Intervals for Means (Sigma Known) Example 1
    06:16

Confidence Intervals for Population Proportion - Excel

  • Guided course
    Confidence Intervals for Population Prortion - Excel Example 1
    05:49
  • Guided course
    Confidence Intervals for Population Prortion - Excel
    06:57

Performing Hypothesis Tests: Means

  • Guided course
    Standard Deviation (σ) Unknown Example 3
    05:55
  • Guided course
    Standard Deviation (σ) Known Example 1
    06:38
  • Guided course
    Standard Deviation (σ) Known
    06:34

Performing Hypothesis Tests: Proportions

  • Guided course
    Performing Hypothesis Tests: Proportions
    05:52
  • Guided course
    Performing Hypothesis Tests: Proportions Example 1
    07:06
  • Guided course
    Performing Hypothesis Tests: Proportions Using TI-84
    03:32

Two Proportions

  • Guided course
    Difference in Proportions: Confidence Intervals
    08:09
  • Guided course
    Two Proportions Inferences Using a TI-84 Example 3
    05:32
  • Guided course
    Difference in Proportions: Hypothesis Tests Example 1
    10:28

Two Proportions Hypothesis Test - Excel

  • Guided course
    Two Proportions Hypothesis Test - Excel
    09:31
  • Guided course
    Two Proportions Hypothesis Test - Excel Example 1
    08:25
  • Guided course
    Two Proportions Hypothesis Test - Excel Example 2
    10:28

Two Means - Unknown, Unequal Variance

  • Guided course
    Difference in Means: Hypothesis Tests Example 1
    07:32
  • Guided course
    Difference in Means: Confidence Intervals Using TI-84 Example 4
    03:33
  • Guided course
    Difference in Means: Confidence Intervals
    08:21

Two Means - Unknown, Equal Variance

  • Guided course
    Means Unknown Equal Variances Hypothesis Test Using TI-84
    06:20
  • Guided course
    Means Unknown Equal Variances Hypothesis Test Using TI-84 Example 2
    03:34
  • Guided course
    Means Unknown Equal Variances Hypothesis Test Using TI-84 Example 1
    03:10

Two Means - Known Variance

  • Guided course
    Means Known Variances Hypothesis Test Using TI-84 Example 2
    02:44
  • Guided course
    Means Known Variances Hypothesis Test Using TI-84
    05:05
  • Guided course
    Means Known Variances Hypothesis Test Using TI-84 Example 1
    02:51

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

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

Chi Square Distribution

  • Guided course
    Critical Values: Chi Square Distribution Example 2
    05:18
  • Guided course
    Critical Values: Chi Square Distribution Example 1
    03:55
  • Guided course
    Critical Values: Chi Square Distribution
    05:39

Contingency Tables

  • Guided course
    Contingency Tables & Expected Frequencies
    08:18

Independence Tests

  • Guided course
    Independence Test
    06:28
  • Guided course
    Independence Test Example 1
    08:07

Boxplots

  • Guided course
    Boxplots Example 1
    01:52
  • Guided course
    Boxplots Example 2
    02:48
  • Guided course
    Boxplots ("Box and Whisker Plots")
    03:54