In an ANOVA, the independent variable is called a
Factor
the same
Two-factor ANOVAs are a type of ______ design
A correlation has a numerical value between ___ and ___
Between -1 and 1
Chi-square tests are non_________ tests
Non-parametric
Individual conditions that make up a factor are called
Levels
A key difference with calculating repeated measures ANOVA is that we remove _________ from the F-ratio
individual differences
Mean differences among the levels of one factor are referred to as the ______ of that factor
main effect
A correlation describes these three characteristics of the relationship between X and Y
The direction, form, and strength of the relationship
Chi-square tests are used when the variables are categorical and the data is presented as ___________
Frequency counts (or proportions is OK)
An ANOVA allows a researcher to compare how many groups or treatment conditions?
Desirable if the number of participants is small; eliminates most problems associated with individual differences
There is no difference between levels of factor A
A correlation of r = 0.0 indicates this
There is no consistency or relationship at all
In a chi-square test for goodness of fit, the observed frequency data is the number of individuals in a particular category from...?
The sample
An advantage of ANOVA is that by performing several comparisons in one hypothesis, it can reduce ________
Type I error (or testwise alpha level)
In a repeated measures ANOVA, the denominator of the F-ratio is called the...
When results of a two-factor ANOVA are shown in a graph, nonparallel lines suggest...
An interaction between the two factors
The direction and strength of a correlation of r = 0.45
A positive, moderate correlation
An example of a null hypothesis (H0) for a chi-square test for goodness of fit
There is no difference between proportions of each category
The F-ratio formula is ______ divided by _______
MSbetween divided by MSwithin
The F-ratio formula is _____ divided by ______
MSbetween divided by MSerror
Provide an example of a conclusion statement for an interaction
The effect of Factor A depends on the level of Factor B
The sum of products (SP) in the correlation formula represents this
How much variables X and Y vary together (covariability)
State the null hypothesis (H0) for a chi-square test of independence using two categorical variables
Category A is not related to category B