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Chapter 5: Hypothesis Tests with Means of Samples
Chapter 7: Introduction to t Testing
Chapter 6: Making Sense of Statistical Significance
Chapter 7: Introduction to t Testing
Chapter 8: The t Test for Indepedent Means
100
This comparison distribution is the distribution of means of samples and is used when the hypothesis testing procedure involves a single sample of more than one individual.
What is a distribution of means?
100
When you change the ordinary variance formula to account for differences in the sample from the popualtion.
What is the unbiased estimate of the population variance?
100
The symbol for effect size.
What is d? (Cohen's d)
100
The population two for a t test for depedent means.
What is people who show no difference?
100
People who participate in the experimental condition for t test for independent means.
What is population one?
200
The three key characteristics that are needed to describe the comparison distribution.
What are mean, spread (variance and standard devation), and shape?
200
the number of scores in the sample minus 1.
What is degrees of freedom?
200
Rejecting the null hypothesis when in fact it is true; getting a statistically significant reuslt when in fact the research hypothesis is not true.
What is Type I Error?
200
The population distribution follows a normal curve and equal interval data is used.
What are the assumptions of ALL t tests?
200
A distribution of differences between means.
What is the comparison distribution for a t test for independent means?
300
A result that is approaching significance.
What is marginal significance?
300
the t test has heavier tails than this distribution.
What is the normal curve?
300
How big of an effect size the researcher predicts and how many participants are in the study.
What are the two factors that determine the power of a study?
300
The hypothesis test in which each person is measured twice and the population variance is not known.
What is t test for dependent means?
300
The correct way to report a non-statistically significant result from a independent t test with two groups of 16 participants and a t value of 2.59 (please write down your answer).
What is t (30) = 2.59, n.s.? (remember, t and n.s. should be italicized)
400
Population two, or the comparison distribution, for a Z test.
What is people in general?
400
this is your sample's mean minus the population mean divided by the standard deviation of the distribution of means.
What is a t score?
400
The probability of making a type II error (which is failling to reject the null when in fact it is false; failing to get a statistically significant result when in fact the research hypothesis is true).
What is beta?
400
The difference between a person's score on one testing and the same person's score on another testing.
What is a difference score?
400
An assumption for t test for independent means where you must assume that the two populations have the same variance.
What is homogeneity of variance?
500
This is the same as the mean of the population of individuals.
What is the mean of a distribution of means? (µM = µ)
500
The testing procedure used when you know the population mean but not its variance and you have a single sample of scores.
What is a t test for single sample?
500
The standardized measure of difference (lack of overlap) between populations.
What is effect size?
500
The mean of the distribution of means of difference scores (the mean for step two of t test for dependent means).
What is zero?
500
What you figure during a t test for indendent means when your two samples have different numbers of individuals in them.
What is the harmonic mean?