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WorksheetsF-Distribution and ANOVA
Total questions: 10
Worksheet time: 3mins
Which of the following distributions is used to compare two variances?
T – Distribution
F – Distribution
Normal Distribution
Poisson Distribution
F-Distribution cannot take negative values.
True
False
Analysis of variance is a statistical method of comparing the ________ of several populations.
standard deviations
Variances
Means
proportions
The ______ sum of squares measures the variability of the observed values around their respective treatment means.
Treatment
Error
Interaction
total
To determine whether the test statistic of ANOVA is statistically significant, it can be compared to a critical value. What two pieces of information are needed to determine the critical value?
sample size, number of groups
mean, sample standard deviation
expected frequency, obtained frequency
MSTR (Mean Square Treatment), MSE
As variability due to chance decreases, the value of F will
Increase
stay the same
Decrease
can’t tell from the given information
When conducting a one-way ANOVA, the _______ the between-treatment variability is when compared to the within-treatment variability, the _______ the value of FDATA will tend to be.
smaller, larger
smaller, smaller
larger, larger
smaller, more random
Two-way and more complex ANOVAs are used only when:
there is exactly one independent variable in the study design
there are at least three independent variables in the design.
We have two independent variables and two dependent variables in the study design.
there is more than one independent variable in the study design.
In two-way ANOVA, a significant interaction tells us that
at least one independent variable is statistically significant.
at least two main effects are present in the study design.
the pattern observed for one independent variable differs by the second independent variable.
the effects of each variable in the study design are parallel.
Two-way and more complex ANOVAs are used when we have multiple dependent variables in our design.
True
False
