MTH - Analysis of Variance (ANOVA)

MTH - Analysis of Variance (ANOVA)

Professional Development

11 Qs

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MTH - Analysis of Variance (ANOVA)

MTH - Analysis of Variance (ANOVA)

Assessment

Quiz

Engineering

Professional Development

Practice Problem

Medium

Created by

Suraj Singh

Used 1+ times

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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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