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Normal Distributions, Standard Deviations, Modality, Skewness and Kurtosis: Understanding Concepts
Visualizes several of the concepts related to measures of variability, including the normal distribution, standard deviation and skew. (05:06)

Statistics 101: Type I and Type II Errors: Part I
Introduces Type I and Type II Errors through two non-statistical examples to give a basic understanding of these errors. (24:54)

P Values, z Scores, Alpha, Critical Values
Differentiates and gives a better explanation for these concepts from Chapter 9. (05:36)

StatsCast: What is a t-test?
Helps explain t-tests to beginners. (09:56)

How to Calculate and Understand Analysis of Variance (ANOVA) F Test
Visualizes the ANOVA test in an easy-to-understand way, also demonstrates how to calculate results from this test using an example. (14:29)

An Introduction to Linear Regression Analysis
Provides an introduction to linear regression. (05:17)

Simple Explanation of Chi-Squared
Explains how to perform the Chi-Square test through an example, also describes what type of data is necessary for this type of data analysis. (05:11)

Top 10 Tips for Beginners in SPSS-Introduction to SPSS (Part I)
The video covers ten things to introduce those new to SPSS so they can start using the program including descriptive and inferential statistics. (07:11)