Chapter 6 Flashcards
(12 cards)
Decision Errors
Incorrect conclusions in hypothesis testing in relation to the real (but unknown) situation, such as deciding the null hypothesis is false when it is really true
Type 1 Error
Rejecting the null hypothesis when in fact it is true, getting a statistically significant result when in fact the research hypothesis is not true
Alpha
The probability of making a Type 1 Error, same as significance level
Type 2 Error
Failing to reject the null hypothesis when in fact it is false, failing to get a statistically significant result when in fact the research hypothesis is true
Beta
Probability of making a Type 2 Error
Effect Size
Standardized measure of difference (lack of overlap) between populations
When does effect size increase?
It increases with greater differences between means
Effect Size Conventions
Standard rules about what to consider a small, medium, and large effect size, based on what is typical in psychology research
What is another name for effect size conventions?
Cohen’s conventions
Meta-Analysis
Statistical method for combining effect sizes from different studies
Statistical Power
Probability that the study will give a significant result if the research hypothesis is true
Power Table
Table for a hypothesis-testing procedure showing the statistical study for various effect sizes and sample sizes
