MGTSC 212

U of A

Course Overview

Lessons & Practice

I. Welcome

1. Part I - Initial Steps

1.1hr

1.1.1. Introduction to Statistics4 min

1.1.2. Sample vs. Population7 min

1.1.3. Practice

1.1.4. Measurement Scales7 min

1.1.5. Practice

1.2.1. Statistical Sampling28 sec

1.2.2. Convenience Sampling1 min

1.2.3. Simple Random Sampling3 min

1.2.4. Systematic Sampling2 min

1.2.5. Stratified Sampling vs. Cluster Sampling6 min

1.2.6. Two-Stage Cluster Sampling2 min

1.2.7. Practice

1.2.8. Practice

1.2.9. Practice

1.3.1. Sampling Bias7 min

1.3.2. Recipe for a Good Sample5 min

1.3.3. Practice

1.3.4. Practice

1.4.1. Observational Studies4 min

1.4.2. Experimental Studies3 min

1.4.3. Example5 min

1.4.4. Practice

1.5.1. Types of Experimental Designs7 min

1.5.2. Principles of Experimental Design4 min

1.5.4. Practice

1.5.5. Practice

2. Part II - The Modern Expanded Descriptive Statistics Toolbox

2.7hr

2.1.1. Measures of Central Tendency7 min

2.1.2. Mean and Median Example2 min

2.1.3. Practice

2.1.4. Practice2 min

2.1.5. Practice3 min

2.2.1. Percentiles4 min

2.2.2. Example2 min

2.2.3. Practice

2.3.1. Range and Interquartile Range11 min

2.3.2. Variance and Standard Deviation6 min

2.3.3. Practice3 min

2.3.4. Practice3 min

2.3.5. Practice

2.4.1. Skewness and Symmetry 6 min

2.4.2. Practice

2.5.1. Scatterplots5 min

2.5.2. Practice

2.6.1. Correlation5 min

2.6.2. Practice

2.7.1. Solving for Correlation2 min

2.7.2. Example6 min

2.7.3. Practice4 min

2.7.4. Example3 min

2.7.5. Practice

2.8.1. Coefficient of Determination (R Squared)7 min

2.8.2. Assessing Goodness of Fit6 min

2.8.3. Practice

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

2.9.2. Example7 min

2.9.3. Practice (Version 1)3 min

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

2.9.5. Example5 min

2.9.6. Practice (Version 2)5 min

2.10.1. Predictions3 min

2.10.2. Residuals (Errors)5 min

2.10.3. Practice

2.10.4. Residual Plots2 min

2.10.5. Regression Diagnostics 5 min

2.10.6. Practice

2.10.7. Standard Deviation of the Residuals5 min

2.10.8. Practice

2.11.1. Assessing a Multiple Regression Model5 min

2.11.2. F-test for Multiple Regression5 min

2.11.3. Solving for the F-score9 min

2.11.4. Example2 min

2.11.5. Practice8 min

3. Part III - Inference for One Variable

5hr

3.1.1. Continuous Probability Distribution Theory10 min

3.2.1. Sampling Variability & Sampling Distribution12 min

3.3.1. Central Limit Theorem 5 min

3.3.2. Sampling Distribution for a Mean2 min

3.3.3. Example9 min

3.3.4. Sampling Distribution for a Mean Question5 min

3.4.1. Sampling Distribution of Proportions5 min

3.4.2. Example3 min

3.4.3. Practice4 min

3.5.1. Introduction to Confidence Intervals14 min

3.6.1. Confidence Interval for a Mean13 min

3.6.2. Example4 min

3.6.3. Practice3 min

3.7.1. Confidence Interval for a Proportion2 min

3.7.2. Example5 min

3.7.3. Practice4 min

3.8.1. Margin of Error and Sample Size3 min

3.8.2. Practice

3.9.1. Introduction to Hypothesis Testing 15 min

3.9.2. Hypothesis Testing Steps25 min

3.10.1. Hypothesis Test for a Mean3 min

3.10.2. Example16 min

3.10.3. Example8 min

3.10.4. Practice4 min

3.11.1. Hypothesis Test for a Proportion10 min

3.11.2. Example4 min

3.11.3. Practice5 min

3.11.4. Practice9 min

3.12.1. Type I and Type II Errors5 min

3.12.2. Type I and Type II Errors1 min

3.12.3. Practice

3.12.4. Practice

3.12.5. Power7 min

3.12.6. Practice

3.13.1. Types of Chi Square Tests8 min

3.13.2. Chi-Square Test for "Goodness of Fit"4 min

3.13.3. Example7 min

3.13.4. Pratice9 min

3.13.5. Chi-Square Test for Independence5 min

3.13.6. Example8 min

3.13.7. Practice4 min

3.13.8. More on Chi-Square Tests3 min

3.14.1. Inference for Population Variance & Chi-square Distribution 8 min

3.15.1. Confidence Interval for Population Variance5 min

3.15.2. Example6 min

3.15.3. Pratice3 min

3.15.4. Practice

3.16.1. Hypothesis Test for Population Variance8 min

3.16.2. Example8 min

3.16.3. Hypothesis Test for Population Variance

3.16.4. Practice4 min

4. Part IV - Statistical Inference in Regression Models

3hr

4.1.1. Estimating the Coefficients of the Linear Regression Model9 min

4.1.2. Measures of Variation in Regression9 min

4.1.3. Practice

4.2.1. Standard Error and R Square Formulas7 min

4.2.2. Example5 min

4.2.3. Practice4 min

4.3.1. Confidence Interval for Linear Regression5 min

4.3.2. Example9 min

4.3.3. Practice3 min

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

4.3.5. Practice

4.4.1. Hypothesis Testing for Linear Regression14 min

4.4.2. Example17 min

4.4.3. Example13 min

4.4.4. Practice: Linear Regression Analysis6 min

4.5.1. Prediction Interval of Y7 min

4.5.2. Example12 min

4.5.3. Practice10 min

4.5.4. Practice

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

4.6.2. Example26 min

4.6.3. Example13 min

4.6.4. Practice13 min

4.6.5. Practice12 min

5. One-Way Analysis of Variance

38min

5.1.1. One-Way ANOVA8 min

5.1.2. One-Way ANOVA Table10 min

5.1.3. Example9 min

5.1.4. Practice

5.2.1. One-Way ANOVA Hypothesis Test6 min

5.2.2. Example4 min

5.2.3. Practice

Mock Exams

ME.1. Mock Exam21 Qns

ME.2. Mock Exam18 Qns

ME.3. Mock Exam27 Qns

ME.4. Midterm 1 - Mock Assessment35 Qns

ME.5. Midterm 2 - Mock Assessment17 Qns

ME.6. Final Exam - Mock Assessment28 Qns

Midterm 1 Overview

Course Notes

Wizeprep's course notes with hundreds of easy-to-understand explanations, diagrams, and practice problems.