Search Header Logo

Mastering the Chi-Square Test

Authored by Muskan Yadav

Others

University

Used 5+ times

Mastering the Chi-Square Test
AI

AI Actions

Add similar questions

Adjust reading levels

Convert to real-world scenario

Translate activity

More...

    Content View

    Student View

9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the shape of the chi-square distribution?

The chi-square distribution is positively skewed.

The chi-square distribution is uniformly distributed.

The chi-square distribution is circular in shape.

The chi-square distribution is negatively skewed.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate expected frequencies in a chi-square test?

Expected frequency = Grand total / (Row total * Column total)

Expected frequency = (Row total - Column total) / Grand total

Expected frequency = Row total + Column total

Expected frequency = (Row total * Column total) / Grand total.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula for calculating the chi-square statistic?

χ² = Σ(O × E) / O

χ² = Σ(O - E) / E²

χ² = Σ((O - E)² / E)

χ² = Σ(O + E)² / E

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a high chi-square statistic indicate about the observed data?

It indicates a significant difference between observed and expected data.

It suggests that the observed data is irrelevant.

It indicates a perfect match between observed and expected data.

It shows that the expected data is incorrect.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance level commonly used in chi-square tests?

0.05

0.10

0.20

0.01

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the degrees of freedom in a chi-square test?

Degrees of freedom are always equal to the sample size

Degrees of freedom in a chi-square test depend on the type of test: df = k - 1 for goodness-of-fit, and df = (rows - 1) * (columns - 1) for independence.

df = k + 1 for goodness-of-fit

df = (rows + 1) * (columns + 1) for independence

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the null hypothesis in a chi-square test for independence?

The null hypothesis states that the two categorical variables are dependent.

The null hypothesis states that the two categorical variables are independent.

The null hypothesis states that the two variables are correlated.

The null hypothesis states that one variable causes changes in the other.

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?