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Chapter 8: Hypothesis Testing: Significance, Effect Size, and Power
This video describes the four steps of hypothesis testing (2:08).
Describes the basic concepts of power and sample size calculations (4:53).
This is a tutorial on how to calculate Cohen’s d or the effect size for groups with different means (4:49).
This video discusses Type errors, Type II errors, their probabilities of occurring (alpha and beta) and the power of a hypothesis test (8:10).
This lecture discusses null hypothesis testing, Type I error, Type II error, and p values (27:59).
This lecture provides an illustrative example of null hypothesis testing and how assumptions regarding the characteristics of the normal curve allow us to make inferences from a sample to the population (26:48).
Lecture discusses power, ways to increase power, and advantages and disadvantages of each method. Also discusses effect size, Type II errors, beta, and power (43:16).
During this NPR clip, Phillip Zimbardo discusses his famous psychology experiment and how it relates to current events. This can be applied to learning about hypothesis testing and samples within a population (10:59).
This website includes definitions and simple explanations about the factors that affect power within a sample. Also contains links on the website to other helpful information related to this topic.
Provides an interactive visualization of Cohen’s d.
Includes effect size calculators.
This website includes an overview of the null hypothesis and directional vs. non-directional tests. It provides practice problems as well.
This website describes hypothesis testing, provides two sample problems, and discusses the use of the z score.