Question

1) One difference between a chi-square test and an analysis of variance is that in a...

1) One difference between a chi-square test and an analysis of variance is that in a chi-square test all variables are?

2) The formula for the chi-square statistic is

Group of answer choices

O/[Σ(O–E)2].

[Σ(O–E)2]/F.

Σ[(O–E)2/E].

E/[Σ(O–E)2].

Homework Answers

Answer #1

1) One difference between a chi-square test and an analysis of variance is that in a chi-square test all variables are categorical.

Because, In chi-square test is used when we have two categorical variables (e.g., gender and alive/dead) and want to determine if one variable is related to another. and

In analysis of variance that is (ANOVA), we have two or more group means (averages) that we want to compare.

In analysis of variance, one variable must be categorical and the other must be continuous.

2) The formula for the chi-square statistic is

Group of answer choices

The answer is :- Σ[(O–E)2/E]

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