Fairmont State University Library: PSYC Resources for Behavioral Statistics, Research Methods, and Capstone: Free Videos and Texts

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PSYC Resources for Behavioral Statistics, Research Methods, and Capstone: Free Videos and Texts

PAGE INFO (also includes links to open-source texts)

VIDEOS ALIGNED WITH OpenStax Text

1: Introduction - Sampling and Data

1.1 Getting Started

1.2 Data Classification

1.3 The Process of a Statistical Study

1.4 How to Critique a Published Study

2a: Descriptive Graphs

2.1 Frequency Distributions

2.2a Pie Charts and Bar Graphs

2.2b Histograms, Polygons, Stem and Leaf Plots

2.3 Analyzing Graphs

2b: Central Tendency and Variability

2b.1 Measures of Center

2b.2a Measures of Dispersion

2b.2b Applying the Standard Deviation

2b.3 Measures of Relative Position

3: Probability Topics

3.1 Introduction to Probability

3.2 Addition Rules for Probability

3.3 Multiplication Rules for Probability

3.4 Combinations and Permutations

3.5 Combining Probability and Counting Techniques

4: Discrete Variables

4.1 Discrete Random Variables

4.2 Binomial Distribution

4.3 Poisson Distribution

4.4 Hypergeometric Distribution

5-6: Continuous Variables and Normal Distributions

5.1 Introduction to the Normal Distribution

5.2 Finding Area Under a Normal Distribution

5.3 Finding Probability Using a Normal Distribution

6.1 Finding Values of a Normally Distributed Random Variable

6.2 Approximating a Binomial Distribution Using a Normal Distribution

7: The Central Limit Theorem

7.1 Introduction to the Central Limit Theorem

7.2 Central Limit Theorem with Means

7.3 Central Limit Theorem with Proportions

8a: Confidence Intervals

8.1 Estimating Population Means (Sigma Known)

8.2 Student's t-Distribution

8.3 Estimating Population Means (Sigma Unknown)

8.4 Estimating Population Proportions

8.5 Estimating Population Variances

8b: Confidence Intervals for Two Samples

8b.1 Comparing Two Population Means (Sigma Known)

8b.2 Comparing Two Population Means (Sigma Unknown)

8b.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples)

8b.4 Comparing Two Population Proportions

8b.5 Comparing Two Population Variances

9: Hypothesis Testing

9.1 Fundamentals of Hypothesis Testing

9.2 Hypothesis Testing for Population Means (Sigma Known)

9.3 Hypothesis Testing for Population Means (Sigma Unknown)

9.4 Hypothesis Testing for Population Proportions

9.5 Hypothesis Testing for Population Variances

10: Hypothesis Testing (Two or More Populations)

10.1 Hypothesis Testing: Two Population Means (Sigma Known)

10.2 Hypothesis Testing: Two Population Means (Sigma Unknown)

10.3 Hypothesis Testing: Two Population Means (Sigma Unknown, Dependent Samples)

10.4 Hypothesis Testing: Two Population Proportions

10.5 Hypothesis Testing: Two Population Variances

11: Chi Square Tests

11.1 The Chi-Square Distribution

11.2 The Chi-Square Test for Goodness of Fit

11.3 The Chi-Square Test for Association

12: Correlation and Regression

12.1 Scatter Plots and Correlation

12.2 Linear Regression

12.3 Regression Analysis

12.4 Multiple Regression Equations

13: Analysis of Variance (ANOVA)

13.1 One-Way ANOVA

13.2 Two-Way ANOVA: The Randomized Block Design

13.3 Two-Way ANOVA Factorial Design

MATH REVIEW

I - Overview of Basic Math principles

1.R.1 The Real Number Line and Types of Numbers

1.R.2 Problem Solving with Whole Numbers