If a Chi-Square test yields a p-value of 0.03 and we use a 5% significance level, we should:

Correct answer: Reject the null hypothesis.

Explanation

Decision rule: If p < alpha, reject H0.

Other questions

Question 1

Which of the following conditions most strongly suggests the use of a non-parametric test rather than a parametric test?

Question 2

Calculate the degrees of freedom for a t-test of a Pearson correlation coefficient with a sample size of 25.

Question 3

Given a sample correlation coefficient (r) of 0.50 and a sample size (n) of 18, what is the calculated t-statistic for testing the null hypothesis that the population correlation is zero?

Question 4

Which of the following is an assumption required for the t-test of the Pearson correlation coefficient?

Question 5

The Spearman rank correlation coefficient is best described as:

Question 6

When calculating the Spearman rank correlation, if two observations have the same value, how should their ranks be assigned?

Question 7

Calculate the Spearman rank correlation coefficient given n=5 and the sum of squared differences in ranks is 8.

Question 8

For a sample size of 40, which test statistic is used to test the significance of the Spearman rank correlation?

Question 9

Which test is most appropriate for determining if 'Investment Strategy' (Growth vs. Value) is independent of 'Fund Size' (Small vs. Large)?

Question 10

In a contingency table, how is the expected frequency for a cell calculated?

Question 11

What are the degrees of freedom for a Chi-Square test of independence on a contingency table with 3 rows and 4 columns?

Question 12

Consider a contingency table cell with an Observed Frequency of 50 and an Expected Frequency of 40. What is the contribution of this cell to the Chi-Square statistic?

Question 13

The Chi-Square test of independence is typically:

Question 14

In a Mosaic plot, what does the size (area) of each tile represent?

Question 15

What does the standardized residual in a Mosaic plot analysis help identify?

Question 16

Calculate the standardized residual for a cell with Observed = 100 and Expected = 81.

Question 17

Under what circumstance would the Spearman rank correlation be preferred over Pearson even if the data is continuous?

Question 18

What is the critical t-value for a two-tailed Pearson correlation test at a 5% significance level with n=25? (Approximate using standard t-distribution knowledge)

Question 19

A Chi-Square test results in a statistic of 15.5 with 4 degrees of freedom. If the critical value at 5% significance is 9.49, what is the conclusion?

Question 20

If the Spearman rank correlation is 1.0, what does this indicate about the two variables?

Question 21

In the context of hypothesis testing for correlation, the null hypothesis H0 usually states:

Question 22

If a sample size is small (n < 30) for a Spearman rank correlation test, what is required to determine the critical value?

Question 23

Calculate the Chi-Square contribution for a cell where Observed = 20 and Expected = 25.

Question 24

If a contingency table has 2 rows and 2 columns, what is the degrees of freedom?

Question 25

Which of the following describes a 'Type I Error' in the context of these tests?

Question 26

Given: Row 1 Total = 30, Column 1 Total = 20, Grand Total = 50. Calculate the Expected Frequency for cell (1,1).

Question 27

In a Pearson correlation t-test, if the calculated t-value is 1.5 and the critical value is 2.1, what is the decision?

Question 28

When transforming data to ranks for the Spearman correlation, the smallest value is typically assigned rank:

Question 29

What is the primary advantage of using a Mosaic plot over a simple contingency table?

Question 30

Given n=50 and r=0.3. Calculate the t-statistic.

Question 31

If variables X and Y are independent, the population correlation coefficient rho is:

Question 32

Which distribution does the Chi-Square statistic follow?

Question 33

In a Spearman rank calculation, if d=0 for all pairs, then:

Question 34

What is the range of possible values for the Chi-Square statistic?

Question 36

Calculating Spearman rank: If Sum(d^2) = 20 and n = 6, what is r_s?

Question 37

Which of the following is NOT a requirement for the Chi-Square test of independence?

Question 38

For a contingency table with Row Totals of 10 and 20, and Column Totals of 15 and 15 (Grand Total 30), calculate the Expected Frequency for cell (2, 2).

Question 39

What happens to the critical t-value for a Pearson correlation test as the sample size increases (holding significance level constant)?

Question 40

A standardized residual of -3.0 in a Mosaic plot indicates:

Question 41

Pearson correlation is sensitive to:

Question 42

If a dataset has ranks for X: 1, 2, 3 and ranks for Y: 3, 2, 1. What is the Spearman correlation?

Question 43

The null hypothesis for a Chi-Square test of independence typically asserts:

Question 44

What is the denominator in the formula for the t-statistic of the Pearson correlation?

Question 45

Spearman rank correlation is a specific case of:

Question 46

Contingency table analysis is typically used for what kind of variables?

Question 47

If observed frequency equals expected frequency for all cells, the Chi-Square statistic is:

Question 48

In a 3x3 contingency table, what is the critical value of Chi-Square at 5% significance (approx)?

Question 49

Which correlation coefficient should be used if the data is ordinal (e.g., credit ratings AAA, AA, A)?

Question 50

The term 'contingency table' is synonymous with: