Chi Squared Test for Independence Quiz

Chi Squared Test for Independence Quiz

Assessment

Quiz

Mathematics

12th Grade

Medium

Created by

Lucy Naylor

Used 1+ times

FREE Resource

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10 questions

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1.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

How do you interpret critical values in a chi squared test?

Critical values have no significance in a chi squared test

Critical values are used to determine the expected data from the observed data

The null hypothesis is rejected if the calculated chi squared value is less than the critical value

If the calculated chi squared value is greater than the critical value, then the null hypothesis is rejected.

2.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

What are the steps involved in performing a test of independence using a chi squared table?

2. Use the t-test to compare the groups.

3. Look up the p-value in the chi-squared table.

1. State the null and alternative hypotheses. 2. Calculate the expected frequencies for each cell. 3. Calculate the chi-squared test statistic. 4. Determine the degrees of freedom. 5. Look up the critical value in the chi-squared table. 6. Compare the calculated chi-squared value with the critical value. 7. Make a decision about the null hypothesis.

1. Calculate the mean and median of the data.

3.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Explain the concept of expected frequencies in the context of chi squared test.

Expected frequencies are the frequencies that are randomly assigned to each category.

Expected frequencies are the frequencies that are based on personal assumptions rather than statistical analysis.

Expected frequencies are the frequencies that would be expected in each category if there was no relationship between the variables being studied.

Expected frequencies are the frequencies that are guaranteed to occur in each category.

4.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Explain the relationship between observed and expected frequencies in a chi squared test.

The observed frequencies are the actual counts of data in each category, while the expected frequencies are the counts that would be expected if the null hypothesis were true.

The expected frequencies are the actual counts of data in each category

The observed frequencies are always higher than the expected frequencies

There is no relationship between observed and expected frequencies

5.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Media Image
What are the expected counts of a female who likes Pepsi?
10.5
11
14.5
6.3

6.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Media Image
What is the null hypothesis?
Injury type is independent of position played
Injury type is dependent on the position played independent

7.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Media Image

If the χ2 critical value = 5.99 and the

χ2 calculated value = 7.35, what is the conclusion

Reject Null Hypothesis, There IS a significant difference.

Accept Null Hypothesis. There is NO significant difference

there is not enough info to decide

The conclusion can only be made if we also know the p-value

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