Chi-Square Test Quiz

What is the main difference between a one-variable and a two-variable chi-square test?

• The number of variables involved

• The requirement of a larger sample size

• The method of calculating observed values

• The use of a different statistical table

How do you calculate the degrees of freedom for a two-variable chi-square test?

• Number of columns minus one

• Add the number of rows and columns

• Number of rows minus one

• Multiply the number of rows minus one by the number of columns minus one

What is the formula for calculating expected values in a two-variable chi-square test?

• Grand total divided by the sum of rows and columns

• Row sum divided by column sum

• Column sum divided by row sum

• Row sum multiplied by column sum, divided by the grand total

Why might the expected values for males and females be the same in a chi-square test?

• If the grand total is an even number

• If the column totals are equal

• If the observed values are identical

• If the row totals are equal

What is the next step after calculating expected values in a chi-square test?

• Recalculate the degrees of freedom

• Calculate the grand total

• Compare observed and expected values

• Determine the sample size

How do you calculate the chi-square statistic for each cell?

• Subtract expected from observed, square the result, and divide by expected

• Add observed and expected, then divide by the grand total

• Multiply observed by expected, then subtract the row total

• Divide observed by expected, then square the result

What is the final step in calculating the chi-square statistic?

• Subtract the smallest value from the largest

• Add all the calculated values together

• Multiply all the calculated values

• Divide the total by the number of cells

What should you do if your calculated chi-square is lower than the critical value?

• Recalculate the expected values

• Reject the null hypothesis

• Accept the null hypothesis

• Increase the sample size

What does it mean if the chi-square statistic is less than the critical value?

• The data supports the alternative hypothesis

• The test is invalid

• There is a significant difference between observed and expected values

• There is no significant difference between observed and expected values

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

• 0.10

• 0.05

• 0.01

• 0.50