COMM 191

UBC

Course Overview

Lessons & Practice

I. Welcome

1. Excel for COMM 191

1.I. Excel for COMM 191

2. Collecting Data & Sampling

44min

2.1.1. Introduction to Statistics4 min

2.1.2. Sample vs. Population7 min

2.1.3. Practice

2.1.4. Measurement Scales7 min

2.1.5. Practice

2.2.1. Statistical Sampling28 sec

2.2.2. Convenience Sampling1 min

2.2.3. Simple Random Sampling3 min

2.2.4. Systematic Sampling2 min

2.2.5. Stratified Sampling vs. Cluster Sampling6 min

2.2.6. Two-Stage Cluster Sampling2 min

2.2.7. Practice

2.2.8. Practice

2.2.9. Practice

2.3.1. Sampling Bias7 min

2.3.2. Recipe for a Good Sample5 min

2.3.3. Practice

2.3.4. Practice

3. Displaying & Summarizing Quantitative Data

37min

3.1.1. Boxplots and Five Number Summary9 min

3.1.2. Practice4 min

3.1.3. Practice

3.2.1. Histograms4 min

3.2.2. Practice2 min

3.2.3. Practice2 min

3.2.4. Practice

3.3.1. Frequency Polygons2 min

3.3.2. Practice4 min

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

3.4.2. Practice3 min

3.5.1. Times Series Plots2 min

3.5.2. Practice2 min

4. Displaying & Summarizing Categorical Data

20min

4.1.1. Pie Chart3 min

4.1.2. Practice

4.2.1. Bar Chart3 min

4.2.2. Practice

4.3.1. Segmented Bar Chart (or Stacked Columns)3 min

4.3.2. Practice4 min

4.4.1. Contingency Table (Two-Way Table)4 min

4.4.2. Simpson’s Paradox3 min

4.4.3. Practice

5. Exploratory Data Analysis

49min

5.1.1. Measures of Central Tendency7 min

5.1.2. Mean and Median Example2 min

5.1.3. Practice

5.1.4. Practice2 min

5.1.5. Practice3 min

5.2.1. Skewness and Symmetry 6 min

5.2.2. Practice

5.3.1. Percentiles4 min

5.3.2. Example2 min

5.3.3. Practice

5.4.1. Range and Interquartile Range11 min

5.4.2. Variance and Standard Deviation6 min

5.4.3. Practice3 min

5.4.4. Practice3 min

5.4.5. Practice

6. Scatterplots, Association, and Correlation

37min

6.1.1. Scatterplots5 min

6.1.2. Practice

6.2.1. Correlation5 min

6.2.2. Practice

6.3.1. Solving for Correlation2 min

6.3.2. Example6 min

6.3.3. Practice4 min

6.3.4. Example3 min

6.3.5. Practice

6.4.1. Coefficient of Determination (R Squared)7 min

6.4.2. Assessing Goodness of Fit6 min

6.4.3. Practice

7. Simple Linear Regression

45min

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

7.1.2. Example7 min

7.1.3. Practice (Version 1)3 min

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

7.1.5. Example5 min

7.1.6. Practice (Version 2)5 min

7.2.1. Predictions3 min

7.2.2. Residuals (Errors)5 min

7.2.3. Practice

7.2.4. Residual Plots2 min

7.2.5. Regression Diagnostics 5 min

7.2.6. Practice

7.2.7. Standard Deviation of the Residuals5 min

7.2.8. Practice

8. Discrete Random Variables

2hr

8.1.1. Discrete Random Variables8 min

8.1.2. Practice

8.1.3. Probability Distribution Function4 min

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

8.1.5. Example5 min

8.1.6. Example4 min

8.1.7. Practice6 min

8.1.8. Practice4 min

8.1.9. Practice

8.2.1. Transforming Data: Shifting & Scaling11 min

8.2.2. Practice2 min

8.2.3. Linear Transformation3 min

8.2.4. Example4 min

8.2.5. Practice2 min

8.3.1. Combining Random Variables7 min

8.3.2. Example2 min

8.3.3. Practice2 min

8.3.4. Example3 min

8.3.5. Practice

8.3.6. Functions of Two Independent Random Variables X and Y5 min

8.3.7. Example3 min

8.3.8. Practice

8.3.9. Practice2 min

8.4.1. Bernoulli Trials4 min

8.4.2. Practice4 min

8.4.3. Binomial Experiment4 min

8.4.4. Binomial Distribution8 min

8.4.5. Example10 min

8.4.6. Example1 min

8.4.7. Practice6 min

8.4.8. Practice

9. Continuous Probability Distributions

1.2hr

9.1.1. Continuous Probability Distribution Theory10 min

9.2.1. Normal Distribution11 min

9.2.2. Practice5 min

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

9.3.2. Standardizing a Normal Random Variable4 min

9.3.3. Example10 min

9.3.4. Practice6 min

9.3.5. Practice3 min

9.4.1. Normal Approximation to Binomial2 min

9.4.2. Practice5 min

9.4.3. Practice4 min

9.4.4. Practice4 min

10. Sampling Distribution

45min

10.1.1. Sampling Variability & Sampling Distribution12 min

10.2.1. Central Limit Theorem 5 min

10.2.2. Sampling Distribution for a Mean2 min

10.2.3. Example9 min

10.2.4. Sampling Distribution for a Mean Question5 min

10.3.1. Sampling Distribution of Proportions5 min

10.3.2. Example3 min

10.3.3. Practice4 min

11. Estimating with Confidence Intervals

48min

11.1.1. Introduction to Confidence Intervals14 min

11.2.1. Confidence Interval for a Mean13 min

11.2.2. Example4 min

11.2.3. Practice3 min

11.3.1. Confidence Interval for a Proportion2 min

11.3.2. Example5 min

11.3.3. Practice4 min

11.4.1. Margin of Error and Sample Size3 min

11.4.2. Practice

12. Hypothesis Testing with One Sample

1.9hr

12.1.1. Introduction to Hypothesis Testing 15 min

12.1.2. Hypothesis Testing Steps25 min

12.2.1. Hypothesis Test for a Mean3 min

12.2.2. Example16 min

12.2.3. Example8 min

12.2.4. Practice4 min

12.3.1. Hypothesis Test for a Proportion10 min

12.3.2. Example4 min

12.3.3. Practice5 min

12.3.4. Practice9 min

12.4.1. Type I and Type II Errors5 min

12.4.2. Type I and Type II Errors1 min

12.4.3. Practice

12.4.4. Practice

12.4.5. Power7 min

12.4.6. Practice

13. Inference for Two Population Means

1.6hr

13.1.1. Comparing Two Independent Means9 min

13.1.2. Hypothesis Test Steps: Comparing Two Independent Means11 min

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

13.2.2. Example (Unpooled)11 min

13.2.3. Practice (Unpooled)5 min

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

13.3.2. Example (Pooled)7 min

13.3.3. Practice (Pooled)7 min

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

13.4.2. Confidence Interval for Two Means Containing Zero7 min

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

13.5.1. Confidence Interval Unpooled t2 min

13.5.2. Example: Confidence Interval (Unpooled)5 min

13.5.3. Practice (Unpooled)

13.6.1. Confidence Interval Pooled t2 min

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

13.6.3. Practice (Pooled)

14. Match Pairs (Dependent Means)

37min

14.1.1. Match Pairs for Dependent Means12 min

14.2.1. Hypothesis Test for Matched Pairs11 min

14.2.2. Example7 min

14.2.3. Practice3 min

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

14.3.2. Practice

15. Inference for Two Population Proportions

49min

15.1.1. Hypothesis Testing for Two Independent Population Proportions9 min

15.1.2. Hypothesis Test Steps: Comparing Two Independent Proportions8 min

15.1.3. Example13 min

15.1.4. Practice (Pooled)6 min

15.2.1. Confidence Interval for Differences in Population Proportions3 min

15.2.2. Confidence Interval for Two Proportions1 min

15.2.3. Example4 min

15.2.4. Practice4 min

16. Chi-Square

48min

16.1.1. Types of Chi Square Tests8 min

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

16.1.3. Example7 min

16.1.4. Pratice9 min

16.1.5. Chi-Square Test for Independence5 min

16.1.6. Example8 min

16.1.7. Practice4 min

16.1.8. More on Chi-Square Tests3 min

17. Inference for Linear Regression

2.2hr

17.1.1. Estimating the Coefficients of the Linear Regression Model9 min

17.1.2. Measures of Variation in Regression9 min

17.1.3. Practice

17.2.1. Standard Error and R Square Formulas7 min

17.2.2. Example5 min

17.2.3. Practice4 min

17.3.1. Confidence Interval for Linear Regression5 min

17.3.2. Example9 min

17.3.3. Practice3 min

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

17.3.5. Practice

17.4.1. Hypothesis Testing for Linear Regression14 min

17.4.2. Example17 min

17.4.3. Example13 min

17.4.4. Practice: Linear Regression Analysis6 min

17.5.1. Prediction Interval of Y7 min

17.5.2. Example12 min

17.5.3. Practice10 min

17.5.4. Practice

18. Multiple Regression

1.7hr

18.1.1. Assessing a Multiple Regression Model5 min

18.1.2. F-test for Multiple Regression5 min

18.1.3. Solving for the F-score9 min

18.1.4. Example2 min

18.1.5. Practice8 min

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

18.2.2. Example26 min

18.2.3. Example13 min

18.2.4. Practice13 min

18.2.5. Practice12 min

18.3.1. Adjusted R Square

18.3.2. Adjusted R Square

Mock Exams

ME.1. Mock Exam21 Qns

ME.2. Mock Exam18 Qns

ME.3. Mock Exam27 Qns

Midterm Exam Overview

Course Notes

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

Want a tour?