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Explain why it would not be appropriate to perform a chi-square goodness-of-fit test in this setting.

The chi-square goodness-of fit can only be applied when we are testing a specific distribution of a single variable.

The given samples are categorized by two variables and thus the chi-square goodness-of-fit test is not appropriate.

Intro Stats / AP Statistics

Chapter 11

Inference for Distributions of Categorical Data

Section 2

Inference for Relationships

Confidence Intervals

The Chi-Square Distribution

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Lectures

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00:19

Sorry, no chi-square (11.1…

01:43

How does the goodness-of-f…

10:13

How is the chi-square good…

00:40

No chi-square A school’s p…

02:36

Sorry, no chi-square How d…

01:18

Explain why a point on the…

01:22

Explain why the parabola…

00:47

Explain why the point $(0,…

01:30

Which of the following exp…

01:19

all right. He was supposed to answer whether or not we can use the Chi Square test. Well, hi. Square test requires comparing distributions over one variable. We have two variables because we have the 125 variable. So you think this is the variable X? And we could think of this year before is variable y? Because we don't have one variable? Um, because we're considering decisions over two variables. A chi square test is impossible, so we could not do a chi squared.

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