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Introductory Statistics Course Syllabus and Learning Outcomes

Study Guide - Learn with Videos

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Intro to Stats

  • Guided course
    Types of Data
    04:24
  • Guided course
    Parameters vs. Statistics
    05:53
  • Guided course
    Introduction to Statistics Channel
    2:13

Intro to Collecting Data

  • Guided course
    Introduction to Collecting Data
    4:01

Sampling Methods

  • Guided course
    Sampling Methods Example 2
    03:07
  • Guided course
    Simple Random Sampling Example 1
    01:30
  • Guided course
    Sampling Methods
    05:27

Visualizing Qualitative vs. Quantitative Data

  • Guided course
    Visualizing Qualitative vs. Quantitative Data
    04:39

Frequency Distributions

  • Guided course
    Intro to Frequency Distributions Example 1
    06:19
  • Guided course
    How to Create Frequency Distributions
    06:29
  • Guided course
    Intro to Frequency Distributions
    06:38

Mean

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

Median

  • Guided course
    Comparing Mean vs. Median
    04:48
  • Guided course
    Calculating the Median Example 1
    02:35
  • Guided course
    Calculating the Median
    03:26

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

Percentiles & Quartiles

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

Boxplots

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

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

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

Bayes' Theorem

  • Guided course
     Bayes' Theorem Example 1
    02:32
  • Guided course
    Bayes' Theorem
    05:10

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

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

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 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

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

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

Type I & Type II Errors

  • Guided course
    Type I & Type II Errors Example 1
    03:21
  • Guided course
    Type I & Type II Errors
    06:02

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 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

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

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

Two-Way ANOVA

  • Guided course
    Intro to Two-Way ANOVA & Two-Way Tables
    08:17
  • Guided course
    Intro to Two-Way ANOVA & Two-Way Tables Example 1
    05:00
  • Guided course
    Two-Way ANOVA: Interaction Plots
    06:35

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

Coefficient of Determination

  • Guided course
    Coefficient of Determination
    06:14

Inferences for Slope

  • Guided course
    Confidence Interval for the Slope of a Regression Line Example 5
    02:31
  • Guided course
    Confidence Interval for the Slope of a Regression Line Example 4
    02:47
  • Guided course
    Hypothesis Test for the Slope of a Regression Line Example 3
    04:13

Prediction Intervals

  • Guided course
    Prediction Intervals
    09:00