BIOL 243

Queen's

Course Overview

Lessons & Practice

I. Welcome

1. Overview of Statistics

18min

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

3. Descriptive Statistics

57min

3.1.1. Measures of Central Tendency7 min

3.1.2. Mean and Median Example2 min

3.1.3. Practice

3.1.4. Practice2 min

3.1.5. Practice3 min

3.2.1. Percentiles4 min

3.2.2. Example2 min

3.2.3. Practice

3.3.1. Range and Interquartile Range11 min

3.3.2. Variance and Standard Deviation6 min

3.3.3. Practice3 min

3.3.4. Practice3 min

3.3.5. Practice

3.4.1. Boxplots and Five Number Summary9 min

3.4.2. Practice4 min

3.4.3. Practice

5. Probability

2.4hr

5.1.1. Events & Sample Spaces6 min

5.1.2. Types of Probability6 min

5.1.3. Probability Language & Notation4 min

5.1.4. Example3 min

5.1.5. Independent vs. Mutually Exclusive Events4 min

5.1.6. Example2 min

5.1.7. Practice

5.2.1. Venn Diagrams3 min

5.2.2. Tree Diagrams4 min

5.2.3. Two-way Table5 min

5.3.1. Interpretation of Probability2 min

5.3.2. Complement Rule3 min

5.3.3. Practice1 min

5.3.4. The Addition Rule4 min

5.4.1. Probability of Independent Events4 min

5.4.2. Example3 min

5.4.3. Practice2 min

5.5.1. Probability of Dependent Events (Conditional Probability)7 min

5.5.2. Conditional Probability: Tree Diagram5 min

5.5.3. Bayes’ Theorem4 min

5.5.4. Example4 min

5.5.5. Practice3 min

5.6.1. Example6 min

5.6.2. Example7 min

5.6.3. Example7 min

5.6.4. Practice4 min

5.6.5. Practice5 min

5.7.1. Summary of Key Definitions6 min

5.8.1. Fundamental Counting Principle6 min

5.8.2. Permutations and Combinations6 min

5.8.3. Practice1 min

5.8.4. Practice54 sec

5.8.5. More Combination Rules3 min

5.8.6. Example4 min

5.8.7. Practice3 min

5.8.8. Practice

5.9.1. Counting and Probability3 min

5.9.3. Practice1 min

6. Sampling Distributions

1.4hr

6.1.1. Continuous Probability Distribution Theory10 min

6.2.1. Normal Distribution11 min

6.2.2. Practice5 min

6.3.1. Sampling Variability & Sampling Distribution12 min

6.4.1. Central Limit Theorem 5 min

6.4.2. Sampling Distribution for a Mean2 min

6.4.3. Example9 min

6.4.4. Sampling Distribution for a Mean Question5 min

6.5.1. Sampling Distribution of Proportions5 min

6.5.2. Example3 min

6.5.3. Practice4 min

6.6.1. Drawing Samples From a Finite Population8 min

6.6.2. Example4 min

6.6.3. Practice3 min

7. Hypothesis Tests

54min

7.1.1. Introduction to Hypothesis Testing 15 min

7.1.2. Hypothesis Testing Steps25 min

7.2.1. Type I and Type II Errors5 min

7.2.2. Type I and Type II Errors1 min

7.2.3. Practice

7.2.4. Practice

7.2.5. Power7 min

7.2.6. Practice

8. Tests for Numerical Data in 1 or 2 Groups

2.1hr

8.1.1. Hypothesis Test for a Mean3 min

8.1.2. Example16 min

8.1.3. Example8 min

8.1.4. Practice4 min

8.2.1. Comparing Two Independent Means9 min

8.2.2. Hypothesis Test Steps: Comparing Two Independent Means11 min

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

8.3.2. Example (Unpooled)11 min

8.3.3. Practice (Unpooled)5 min

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

8.4.2. Example (Pooled)7 min

8.4.3. Practice (Pooled)7 min

8.5.1. Match Pairs for Dependent Means12 min

8.6.1. Hypothesis Test for Matched Pairs11 min

8.6.2. Example7 min

8.6.3. Practice3 min

9. Tests for Categorical Data

1.9hr

9.1.1. Hypothesis Test for a Proportion10 min

9.1.2. Example4 min

9.1.3. Practice5 min

9.1.4. Practice9 min

9.2.1. Hypothesis Testing for Two Independent Population Proportions9 min

9.2.2. Hypothesis Test Steps: Comparing Two Independent Proportions8 min

9.2.3. Example13 min

9.2.4. Practice (Pooled)6 min

9.3.1. Types of Chi Square Tests8 min

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

9.3.3. Example7 min

9.3.4. Pratice9 min

9.3.5. Chi-Square Test for Independence5 min

9.3.6. Example8 min

9.3.7. Practice4 min

9.3.8. More on Chi-Square Tests3 min

10. Tests for Two-Way Numerical Data

3hr

10.1.1. Scatterplots5 min

10.1.2. Practice

10.2.1. Correlation5 min

10.2.2. Practice

10.3.1. Solving for Correlation2 min

10.3.2. Example6 min

10.3.3. Practice4 min

10.3.4. Example3 min

10.3.5. Practice

10.4.1. Coefficient of Determination (R Squared)7 min

10.4.2. Assessing Goodness of Fit6 min

10.4.3. Practice

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

10.5.2. Example7 min

10.5.3. Practice (Version 1)3 min

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

10.5.5. Example5 min

10.5.6. Practice (Version 2)5 min

10.6.1. Predictions3 min

10.6.2. Residuals (Errors)5 min

10.6.3. Practice

10.6.4. Residual Plots2 min

10.6.5. Regression Diagnostics 5 min

10.6.6. Practice

10.6.7. Standard Deviation of the Residuals5 min

10.6.8. Practice

10.7.1. Estimating the Coefficients of the Linear Regression Model9 min

10.7.2. Measures of Variation in Regression9 min

10.7.3. Practice

10.8.1. Standard Error and R Square Formulas7 min

10.8.2. Example5 min

10.8.3. Practice4 min

10.9.1. Hypothesis Testing for Linear Regression14 min

10.9.2. Example17 min

10.9.3. Example13 min

10.9.4. Practice: Linear Regression Analysis6 min

10.10.1. Prediction Interval of Y7 min

10.10.2. Example12 min

10.10.3. Practice10 min

10.10.4. Practice

11. Tests for numerical data in 1-way categorical groups

38min

11.1.1. One-Way ANOVA8 min

11.1.2. One-Way ANOVA Table10 min

11.1.3. Example9 min

11.1.4. Practice

11.2.1. One-Way ANOVA Hypothesis Test6 min

11.2.2. Example4 min

11.2.3. Practice

12. Tests for numerical data in 2-way categorical groups

11min

12.1.1. Two-Way ANOVA with Replication Hypothesis Test5 min

12.1.2. Two-Way ANOVA with Replication Hypothesis Test6 min

Mock Exams

ME.1. Mock Exam21 Qns

ME.2. Mock Exam18 Qns

ME.3. Mock Exam27 Qns

ME.4. Term Test 1 - Mock Assessment33 Qns

ME.5. Term Test 2 - Mock Assessment37 Qns

ME.6. Final Exam - Mock Assessment26 Qns

ME.4 Term Test 1 - Mock Assessment

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Term Test 1 - Mock Assessment

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