How do you interpret critical values in a chi squared test?
Chi Squared Test for Independence Quiz

Quiz
•
Mathematics
•
12th Grade
•
Medium
Lucy Naylor
Used 1+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
10 mins • 1 pt
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
6.
MULTIPLE CHOICE QUESTION
10 mins • 1 pt
7.
MULTIPLE CHOICE QUESTION
10 mins • 1 pt
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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