A range of scores with specific boundaries, or confidence limits, that should contain the population means.
What is a confidence interval?
100
how variable the scores are within each group
What is the variance?
100
Used to determine how much of the total observed variability in scores can be explained by differences among several treatment means and how much is attributable to unexplained differences among subject.
What is the F-test?
100
Designed to study the simultaneous effects of two or more independent variables.
What is the two-way classification F-test?
100
Equal variance among groups.
What is homogeneity of variance?
200
The tendency for sample values to differ from population means.
What is sampling error?
200
degree of separation between groups
What is the effect size?
200
total mean of all levels (or groups)
What is the grand mean?
200
The effect of each independent variable.
What is the main effect?
200
Consistently takes the shape of the normal curve.
What is the sampling distribution of means?
300
The estimate of the population standard deviation.
What is the standard error of the mean?
300
Used when the means of two independent groups of subjects are compared.
What is the independent (unpaired) t-test?
300
the spread of group means around the grand mean
What is the between-groups sum of squares?
300
Means for levels of the main effects
What are marginal means?
300
This type of hypothesis indicates the expected direction of difference between the sample means.
What is a directional hypothesis?
400
An interval within which we believe the population parameter will lie.
What is the interval estimate?
400
Determines if paired values are significantly different from one another.
What is a paired t-test?
400
The spread of scores within each group, around the group mean, or the differences among subjects.
What is the error sum of squares?
400
Seen by looking at combinations of levels of each independent variable.
What are the interaction effects?
400
Probability of committing a type II error.
What is beta?
500
The region of rejection (area above and below the critical value).
What is the critical region?
500
number of components that are free to vary within a set of data
What are the degrees of freedom?
500
Variance estimate for F-tests.
What is the mean square?
500
Dividing the factorial design into several smaller experiments.
What are simple effects?
500
These four factors: the significance criterion (alpha), the variance in the data, the sample size, and the effect size.