ISDS 2001 Exam 2

independent variable

The experimental factor that is manipulated; the variable whose effect is being studied.

Critical F Value is based upon

alpha, dfTR, dferror

3 Assumptions of the one-way ANOVA test

1. Populations are normally distributed 2. Population standard deviations are unknown, but assumed equal. 3. Samples are selected independently.

3 or more

How many means can you test for differences using ANOVA?

True

If you do not reject the null hypothesis, there is no evidence that the alternative hypothesis is ______ (T/F)

True

If you reject the null hypothesis, there is evidence that the alternative hypothesis is _______ (T/F)

variance

In order to determine if significant differences exist between some of the population means, we develop two independent estimates of the common population ______

If F > CV then

REJECT Ho; BECAUSE

SST

SSR + SSE

dependent variable

The measurable effect, outcome, or response in which the research is interested.

1 way ANOVA test

compares population means based on one categorical variable or factor. *Has 3 assumptions

2 way ANOVA

compares population means based on two categorical variables or factors.

The ANOVA test assume the samples are selected ______

independently.

The ANOVA test assume the populations are ______ _______. (2 words)

normally distributed

Use ______ to make a decision.

p value

c(c-1)/2

pairwise possibilities

When conducting ANOVA, the dependent variable is measured from observations _________ randomly selected from independent, normal populations with equal variances.

random

if p value < alpha

reject Ho

ANOVA (analysis of variance)

the test for differences between population means by examining the amount of variability between the sample means relative to the amount of variability within the samples.

The ANOVA test assume the population standard deviation are _______, but _______ ______. (3 words)

unknown, assumed equal