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EC 1151.02: Statistics – Syllabus and Course Structure Overview

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Intro to Stats

  • Guided course
    Parameters vs. Statistics
    05:53
  • Guided course
    Types of Data
    04:24

Mean

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

Median

  • Guided course
    Comparing Mean vs. Median Example 2
    04:56
  • Guided course
    Calculating the Median Example 1
    02:35
  • Guided course
    Calculating the Median
    03:26

Mode

  • Guided course
    Mode
    03:20

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

Histograms

  • Guided course
    Intro to Histograms
    05:54

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
    Multiplication Rule: Dependent Events Example 1
    02:46
  • Multiplication Rule: Dependent Events
    05:17
  • Guided course
    Conditional Probability Rule Example 3
    03:25

Bayes' Theorem

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

Discrete Random Variables

  • Guided course
    Variance & Standard Deviation of Discrete Random Variables
    04:48
  • Guided course
    Expected Value (Mean) of Random Variables Example 2
    03:26
  • Guided course
    Intro to Random Variables & Probability Distributions Example 1
    03:06

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

Uniform Distribution

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

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

Non-Standard Normal Distribution

  • Guided course
    Finding Values of Non-Standard Normal Variables from Probabilities
    04:05
  • Guided course
    Finding Values of Non-Standard Normal Variables from Probabilities Example 2
    06:05
  • Guided course
    Finding Z-Scores for Non-Standard Normal Variables Example 1
    09:02

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 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

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

Steps in Hypothesis Testing

  • Guided course
    Intro to Hypothesis Testing
    05:12
  • Guided course
    Step 3: Get P-Value
    06:50
  • Guided course
    Step 2: Calculate Test Statistic
    06:34

Performing Hypothesis Tests: Means

  • Guided course
    Standard Deviation (σ) Known Example 2
    04:53
  • Guided course
    Standard Deviation (σ) Known Example 3
    06:51
  • Guided course
    Standard Deviation (σ) Unknown Example 4
    06:13

Performing Hypothesis Tests: Proportions

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

Two Proportions

  • Guided course
    Difference in Proportions: Hypothesis Tests Example 1
    10:28
  • Guided course
    Difference in Proportions: Confidence Intervals Example 2
    09:24
  • Guided course
    Two Proportions Inferences Using a TI-84
    05:01

Scatterplots & Intro to Correlation

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

Correlation Coefficient

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

Linear Regression & Least Squares Method

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

Coefficient of Determination

  • Guided course
    Coefficient of Determination
    06:14

Inferences for Slope

  • Guided course
    Hypothesis Test for the Slope of a Regression Line Example 2
    02:59
  • Guided course
    Confidence Interval for the Slope of a Regression Line
    03:12
  • Guided course
    Hypothesis Test for the Slope of a Regression Line Example 3
    04:13