
MTH - Analysis of Variance (ANOVA)
Quiz
•
Engineering
•
Professional Development
•
Practice Problem
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Medium
Suraj Singh
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11 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the primary purpose of Analysis of Variance (ANOVA)?
To compare the variance of a single population
To compare the means of multiple populations
To estimate the median of a dataset
To analyze the mode of the data
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In a one-factor ANOVA, what does the null hypothesis state?
All variances are equal
All means are equal
All medians are equal
None of the means are equal
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What distribution does the test statistic in ANOVA follow?
Chi-squared distribution
Normal distribution
F-distribution
T-distribution
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
If the calculated F-statistic is close to 1 in a one-factor ANOVA, what conclusion should be made?
Reject the null hypothesis
Fail to reject the null hypothesis
Means are not equal
Increase sample size
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following conditions would lead to rejecting the null hypothesis in one-factor ANOVA?
The F-statistic is close to 1
The F-statistic is much larger than 1
The variance between groups is small
The sample sizes are unequal
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In two-factor ANOVA, how many factors are tested for their impact on the data?
One
Two
Three
Four
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the key difference between one-factor and two-factor ANOVA?
One-factor ANOVA tests the means, two-factor ANOVA tests the medians
One-factor ANOVA tests for one independent variable, two-factor ANOVA tests for two
One-factor ANOVA tests the variances, two-factor ANOVA tests the range
One-factor ANOVA requires more data
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