ECON 227

McGill

Course Overview

Lessons & Practice

I. Welcome

1. CH 1-8 - Review

8hr

1.1.1. Stemplots (Stem-and-Leaf Plots)2 min

1.1.2. Practice3 min

1.2.1. Histograms4 min

1.2.2. Practice2 min

1.2.3. Practice2 min

1.2.4. Practice

1.3.1. Times Series Plots2 min

1.3.2. Practice2 min

1.4.1. Scatterplots5 min

1.4.2. Practice

1.5.1. Boxplots and Five Number Summary9 min

1.5.2. Practice4 min

1.5.3. Practice

1.6.1. Measures of Central Tendency7 min

1.6.2. Mean and Median Example2 min

1.6.3. Practice

1.6.4. Practice2 min

1.6.5. Practice3 min

1.7.1. Skewness and Symmetry 6 min

1.7.2. Practice

1.8.1. Percentiles4 min

1.8.2. Example2 min

1.8.3. Practice

1.9.1. Range and Interquartile Range11 min

1.9.2. Variance and Standard Deviation6 min

1.9.3. Practice3 min

1.9.4. Practice3 min

1.9.5. Practice

1.10.1. Discrete Random Variables8 min

1.10.2. Practice

1.10.3. Probability Distribution Function4 min

1.10.4. Expected Value, Variance, and Standard Deviation of Discrete Random Variables6 min

1.10.5. Example5 min

1.10.6. Example4 min

1.10.7. Practice6 min

1.10.8. Pratice4 min

1.10.9. Practice

1.11.1. Bernoulli Trials4 min

1.11.2. Practice4 min

1.11.3. Binomial Experiment4 min

1.11.4. Binomial Distribution8 min

1.11.5. Example10 min

1.11.6. Example1 min

1.11.7. Practice6 min

1.11.8. Practice

1.12.1. Poisson Experiment5 min

1.12.2. Poisson Distribution1 min

1.12.3. Example3 min

1.12.4. Practice5 min

1.12.5. Practice5 min

1.13.1. Hypergeometric Experiment5 min

1.13.2. Hypergeometric Distribution9 min

1.13.3. Example4 min

1.13.4. Practice4 min

1.13.5. Practice Question

1.14.1. Continuous Probability Distribution Theory10 min

1.15.1. Uniform Distribution1 min

1.15.2. Practice3 min

1.16.1. Normal Distribution11 min

1.16.2. Practice5 min

1.17.1. Standard Normal Distribution (Z-Scores)11 min

1.17.2. Standardizing a Normal Random Variable4 min

1.17.3. Example10 min

1.17.4. Practice6 min

1.17.5. Practice3 min

1.18.1. Normal Approximation to Binomial2 min

1.18.2. Practice5 min

1.18.3. Practice4 min

1.18.4. Practice4 min

1.19.1. Sampling Variability & Sampling Distribution12 min

1.20.1. Central Limit Theorem 5 min

1.20.2. Sampling Distribution for a Mean2 min

1.20.3. Example9 min

1.20.4. Sampling Distribution for a Mean Question5 min

1.21.1. Sampling Distribution of Proportions5 min

1.21.2. Example3 min

1.21.3. Sampling Distribution of Proportions4 min

1.22.1. Drawing Samples From a Finite Population8 min

1.22.2. Example4 min

1.22.3. Practice3 min

1.23.1. Introduction to Confidence Intervals14 min

1.24.1. Confidence Interval for a Mean13 min

1.24.2. Example4 min

1.24.3. Practice3 min

1.25.1. Confidence Interval for a Proportion2 min

1.25.2. Example5 min

1.25.3. Practice4 min

1.26.1. Margin of Error and Sample Size3 min

1.26.2. Practice

1.27.1. Confidence Interval for Population Variance5 min

1.27.2. Example6 min

1.27.3. Pratice3 min

1.27.4. Practice

1.28.1. Matched Pairs Confidence Interval for Differences in Two Dependent Population Means4 min

1.28.2. Practice

1.29.1. Confidence Interval for Differences in Population Means (Pooled and Unpooled)6 min

1.29.2. Confidence Interval for Two Means Containing Zero7 min

1.29.3. Confidence Interval for Two Means (Independent Populations)9 min

1.30.1. Confidence Interval Unpooled t2 min

1.30.2. Example: Confidence Interval (Unpooled)5 min

1.30.3. Practice (Unpooled)

1.31.1. Confidence Interval Pooled t2 min

1.31.2. Example: Confidence Interval w/ Pooled T-test5 min

1.31.3. Practice (Pooled)

1.32.1. Confidence Interval for Differences in Population Proportions3 min

1.32.2. Confidence Interval for Two Proportions1 min

1.32.3. Example4 min

1.32.4. Practice4 min

2. CH 9 - Hypothesis Testing: Single Population

1.9hr

2.1.1. Introduction to Hypothesis Testing 15 min

2.1.2. Hypothesis Testing Steps25 min

2.2.1. Hypothesis Test for a Mean3 min

2.2.2. Example16 min

2.2.3. Example8 min

2.2.4. Practice4 min

2.3.1. Hypothesis Test for a Proportion10 min

2.3.2. Example4 min

2.3.3. Practice5 min

2.3.4. Practice9 min

2.4.1. Type I and Type II Errors5 min

2.4.2. Type I and Type II Errors1 min

2.4.3. Practice

2.4.4. Practice

2.4.5. Power7 min

2.4.6. Practice

3. CH 10 - Hypothesis Testing: Additional Topics

2.7hr

3.1.1. Comparing Two Independent Means9 min

3.1.2. Hypothesis Test Steps: Comparing Two Independent Means11 min

3.2.1. Unpooled t-test (Unequal Variances)4 min

3.2.2. Example (Unpooled)11 min

3.2.3. Practice (Unpooled)5 min

3.3.1. Pooled t-test (Equal Variances)3 min

3.3.2. Example (Pooled)7 min

3.3.3. Practice (Pooled)7 min

3.4.1. Match Pairs for Dependent Means12 min

3.5.1. Hypothesis Test for Matched Pairs11 min

3.5.2. Example7 min

3.5.3. Practice3 min

3.6.1. Hypothesis Testing for Two Independent Population Proportions9 min

3.6.2. Hypothesis Test Steps: Comparing Two Independent Proportions8 min

3.6.3. Example13 min

3.6.4. Practice (Pooled)6 min

3.7.1. Chi-Square Distribution

3.8.1. Confidence Interval for Population Variance

3.8.2. Confidence Interval for Population Variance

3.9.1. Hypothesis Test for Population Variance

3.9.2. Hypothesis Test for Population Variance

3.9.3. Hypothesis Test for Population Variance

3.10.1. Test of Equality of Two Variances7 min

3.11.1. F-Test for Equality of Two Variances11 min

3.11.2. Example6 min

3.11.3. F-Test for Equality of Two Variances

3.12.1. Levene’s Test for the Equality of Two Variances4 min

3.12.2. Example7 min

3.12.3. Practice

4. CH 11 - Simple Regression

4hr

4.1.1. Scatterplots5 min

4.1.2. Practice

4.2.1. Correlation5 min

4.2.2. Practice

4.3.1. Solving for Correlation2 min

4.3.2. Example6 min

4.3.3. Practice4 min

4.3.4. Example3 min

4.3.5. Practice

4.4.1. Coefficient of Determination (R Squared)7 min

4.4.2. Assessing Goodness of Fit6 min

4.4.3. Practice

4.5.1. Solving for the Regression Line (r, Sy, Sx Method)5 min

4.5.2. Example7 min

4.5.3. Practice (Version 1)3 min

4.5.4. Solving for the Regression Line (Least Squares Method)2 min

4.5.5. Example5 min

4.5.6. Practice (Version 2)5 min

4.6.1. Predictions3 min

4.6.2. Residuals (Errors)5 min

4.6.3. Practice

4.6.4. Residual Plots2 min

4.6.5. Regression Diagnostics 5 min

4.6.6. Practice

4.6.7. Standard Deviation of the Residuals5 min

4.6.8. Practice

4.7.1. Estimating the Coefficients of the Linear Regression Model9 min

4.7.2. Measures of Variation in Regression9 min

4.7.3. Practice

4.8.1. Standard Error and R Square Formulas7 min

4.8.2. Example5 min

4.8.3. Practice4 min

4.9.1. Confidence Interval for Linear Regression5 min

4.9.2. Example9 min

4.9.3. Practice3 min

4.9.4. Slope: The Significance of "Zero" (or Lack Thereof)6 min

4.9.5. Practice

4.10.1. Hypothesis Testing for Linear Regression14 min

4.10.2. Example17 min

4.10.3. Example13 min

4.10.4. Practice: Linear Regression Analysis6 min

4.11.1. Prediction Interval of Y7 min

4.11.2. Example12 min

4.11.3. Practice10 min

4.11.4. Practice

5. CH 12 - Multiple Regression

1.8hr

5.1.1. Assessing a Multiple Regression Model5 min

5.1.2. F-test for Multiple Regression5 min

5.1.3. Solving for the F-score9 min

5.1.4. Example2 min

5.1.5. Practice8 min

5.2.1. Hypothesis Testing for Multiple Regression (F-test)7 min

5.2.2. Example26 min

5.2.3. Example13 min

5.2.4. Practice13 min

5.2.5. Practice12 min

5.3.1. Indicator Variables (Dummy Variables)5 min

Mock Exams

ME.1. Midterm Exam 1 - Mock Assessment21 Qns

ME.2. Midterm 1 - Mock Assessment22 Qns

ME.3. Midterm 2 - Mock Assessment17 Qns

ME.4. Final Exam - Mock Assessment18 Qns

ME.1 Midterm Exam 1 - Mock Assessment

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Midterm Exam 1 - Mock Assessment

This mock exam has 21 questions

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