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- 1. Multiple Choice
The following are assumptions for ANOVA except:
Variance must be homogenous
There should be 4 or more independent groups
Data must be normally distributed
Randomly selected
- 2. Multiple Choice
ANOVA stands for ...
Analysis of Variation
Analysis of Variance
Analysis of Variability
A Non-Visual Analysis
- 3. Multiple Choice
Formulate the alternative hypothesis.
At least one mean is different
- 4. Multiple Choice
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
- 5. Multiple Choice
ANOVA testing is used for ...
Test for one mean
Test for two means
Test for three or more means
Test for independence between two variables
- 6. Multiple Choice
ANOVA tests use which of the following distributions?
F
t
Z
Chi-square
- 7. Multiple Choice
3. What would you use to determine whether significant differences were observed between all levels of your independent variable?
Box-plots
F statistic
Post-hoc tests
Descriptive statistics
- 8. Multiple Choice
________ used only when F-stat is significant.
Post Hoc test
One way ANOVA
Degree of Freedom
Levene's Test
- 9. Multiple Choice
In a one-way ANOVA, if the p-value is less than the significance level, what does it mean?
There is no significant difference between group means
The test statistic is not valid
There is a significant difference between at least two group means
The sample size is too small
- 10. Multiple Choice
F-ratio calculation is :
between-group variability to within-group variability
within-group variability to between-group variability
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