PSY201H1

U of T

Course Overview

Lessons & Practice

I. Welcome

1 min

1. Introduction to Statistics

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

1.5.3. Example

1.5.4. Practice

1.5.5. Practice

2. Frequency Distributions

38min

2.1.1. Boxplots and Five Number Summary9 min

2.1.2. Practice4 min

2.1.3. Practice

2.2.1. Histograms4 min

2.2.2. Practice2 min

2.2.3. Practice2 min

2.2.4. Practice

2.3.1. Dot Plots5 min

2.3.2. Practice

2.4.1. Frequency Polygons2 min

2.4.2. Practice4 min

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

2.5.2. Practice3 min

3. Central Tendancy

30min

3.1.1. Measures of Central Tendency7 min

3.1.2. Mean and Median Example2 min

3.2.2. Practice Level 14 min

3.3.1. Skewness and Symmetry 6 min

3.3.2. Practice

3.4.1. Percentiles4 min

3.4.2. Example2 min

3.4.3. Practice

4. Variability

23min

4.1.1. Range and Interquartile Range11 min

4.1.2. Variance and Standard Deviation6 min

4.1.3. Practice3 min

4.1.4. Practice3 min

4.1.5. Practice

5. z-Scores: Location of Scores and Standardized Distributions

30min

5.1.1. Continuous Probability Distribution Theory10 min

5.2.1. Normal Distribution11 min

5.2.2. Practice5 min

5.3.1. Standardizing a Normal Random Variable4 min

6. Probability

30min

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

6.1.2. Example10 min

6.1.3. Practice6 min

6.1.4. Practice3 min

7. Probability and Samples: The Distribution of Samples

59min

7.1.1. Sampling Variability & Sampling Distribution12 min

7.2.1. Central Limit Theorem 5 min

7.2.2. Sampling Distribution for a Mean2 min

7.2.3. Example9 min

7.2.4. Sampling Distribution for a Mean Question5 min

7.3.1. Sampling Distribution of Proportions5 min

7.3.2. Example3 min

7.3.3. Practice4 min

7.4.1. Drawing Samples From a Finite Population8 min

7.4.2. Example4 min

7.4.3. Practice3 min

8. Introduction to Hypothesis Testing

54min

8.1.1. Introduction to Hypothesis Testing 15 min

8.1.2. Hypothesis Testing Steps25 min

8.2.1. Type I and Type II Errors5 min

8.2.2. Type I and Type II Errors1 min

9. Introduction to the t Statistic

60min

9.1.1. Hypothesis Test for a Mean3 min

9.1.2. Example16 min

9.1.3. Example8 min

9.1.4. Practice4 min

9.2.1. Hypothesis Test for a Proportion10 min

9.2.2. Example4 min

9.2.3. Practice5 min

9.2.4. Practice9 min

10. The t Test for Two Independent Samples

1.6hr

10.1.1. Comparing Two Independent Means9 min

10.1.2. Hypothesis Test Steps: Comparing Two Independent Means11 min

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

10.2.2. Example (Unpooled)11 min

10.2.3. Practice (Unpooled)5 min

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

10.3.2. Example (Pooled)7 min

10.3.3. Practice (Pooled)7 min

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

10.4.2. Confidence Interval for Two Means Containing Zero7 min

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

10.5.1. Confidence Interval Unpooled t2 min

10.5.2. Example: Confidence Interval (Unpooled)5 min

10.5.3. Practice (Unpooled)

10.6.1. Confidence Interval Pooled t2 min

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

10.6.3. Practice (Pooled)

11. The t Test for Two Related Samples

37min

11.1.1. Match Pairs for Dependent Means12 min

11.2.1. Hypothesis Test for Matched Pairs11 min

11.2.2. Example7 min

11.2.3. Practice3 min

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

11.3.2. Practice

12. Skip

13. Introduction to Analysis of Variance

49min

13.1.1. One-Way ANOVA8 min

13.1.2. One-Way ANOVA Table10 min

13.1.3. Example9 min

13.1.4. Practice

13.2.1. One-Way ANOVA Hypothesis Test6 min

13.2.2. Example4 min

13.2.3. Practice

13.3.1. Post-Hoc Testing: Tukey Test6 min

13.3.2. Post-Hoc Testing: Tukey Test6 min

14. Correlation and Regression

4hr

14.1.1. Scatterplots5 min

14.1.2. Practice

14.2.1. Correlation5 min

14.2.2. Practice

14.3.1. Solving for Correlation2 min

14.3.2. Example6 min

14.3.3. Practice4 min

14.3.4. Example3 min

14.3.5. Practice

14.4.1. Coefficient of Determination (R Squared)7 min

14.4.2. Assessing Goodness of Fit6 min

14.4.3. Practice

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

14.5.2. Example7 min

14.5.3. Practice (Version 1)3 min

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

14.5.5. Example5 min

14.5.6. Practice (Version 2)5 min

14.6.1. Predictions3 min

14.6.2. Residuals (Errors)5 min

14.6.3. Practice

14.6.4. Residual Plots2 min

14.6.5. Regression Diagnostics 5 min

14.6.6. Practice

14.6.7. Standard Deviation of the Residuals5 min

14.6.8. Practice

14.7.1. Estimating the Coefficients of the Linear Regression Model9 min

14.7.2. Measures of Variation in Regression9 min

14.7.3. Practice

14.8.1. Standard Error and R Square Formulas7 min

14.8.2. Example5 min

14.8.3. Practice4 min

14.9.1. Confidence Interval for Linear Regression5 min

14.9.2. Example9 min

14.9.3. Practice3 min

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

14.9.5. Practice

14.10.1. Hypothesis Testing for Linear Regression14 min

14.10.2. Example17 min

14.10.3. Example13 min

14.10.4. Practice: Linear Regression Analysis6 min

14.11.1. Prediction Interval of Y7 min

14.11.2. Example12 min

14.11.3. Practice10 min

14.11.4. Practice

Mock Exams

ME.1. Mock Exam21 Qns

ME.2. Mock Exam18 Qns

ME.3. Mock Exam27 Qns

ME.4. Term Test 1 - Mock Assessment30 Qns

ME.5. Term Test 2 - Mock Assessment14 Qns

ME.6. Final Assessment - Mock Assessment16 Qns

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Answered

Anonymous

Does this cover every topic needed for the final exam? Including combination/permutation, and other small sections?

Lawron L

Instructor

Hello - combination/permutation is found under the 'Counting Rules' chapter. Thank you.

Answered

Liz F

Do you have example questions on how to calculate frequency, relative cumulative frequency, and cumulative relative frequency?

Lawron L

Instructor

Yes, please see the sectiom about Frequency Polygons. 

Notes:
Frequency = counts
Cumulative Frequency = counts accumulated from the minimum 
Relative Cumulative Frequency = % accumulated from the minimum 

Answered

sophia c

do you have a video that helps me understand z scores

Lawron L

Instructor

z scores are introduced in "Continuous Probability Distribution" > "Normal Distributions" and "Standardizing"

Answered

Anonymous

Who came with this concept? 

Jessica Y

Instructor

I don't think one specific person came up with the concept of statistic. It's a very useful branch of math, so I think people saw its application and developed different tools that help us answer important questions :)

Welcome to Wize's Statistics Course!
My name is Lawron and I'm here to help you ace your course! Feel free to go through this resource at your own pace
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