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100

What does Alpha mean?

the probability that the result will fall in the rare zone.

100

standard deviation

a measure of variability for interval or ration data

100

degrees of freedom

the number of values in a sample that are free to vary

100

effect size

a measure of the degree of impact of the explanatory variable on the outcome variable.

100

significance level

the probability of a type I error

200

What is a treatment effect?

the impact of the explanatory variable on the dependent variable.

200

predictor variable

the variable in a relationship test X that predicts Y

200

mean

an average calculated for an interval or ratio scale

200

dependent variable

the variable where the effect is measured. 

200

post hoc test

a follow up test to statistically significant ANOVA

300

What is range?

A measure of variability for an interval

300

deviation score

a measure of how far away a score falls from the mean.

300

percentile rank

percentage of cases with scores at or below a given level in a frequency distribution

300

independent t-test

an inferential statistical test used to compare two independent samples.

300

beta

the probability of making a Type II error

400

What are Ordinal level numbers? 

numbers used to indicate if more or less of an attribute is possessed.

400

hypothesis

a proposed explanation for observed facts.

400

z score

raw score expressed in terms of how many standard deviations it falls away from the mean.

400

main effect

the impact of an explanatory variable by itself on the outcome variable.

400

descriptive statistic

a summary statement about a set of cases. 

500

critical value

the value of the test statistic that forms the boundary between the rare zone and the common zone.

500

between subjects

independent samples

500

Cohen's d

a standardized measure of effect used to measure the difference between means.

500

median

an average calculated by finding the score associated with the middle case.

500

type II error

the error that occurs when one fails to reject the null hypothesis but should have rejected it.