Chi-Squared Test Concepts

This tutorial demonstrates how to perform a chi-squared test of independence using Microsoft Excel. It covers setting up sample data, calculating observed and expected values, and determining the chi-squared value and p-value. The tutorial also explains how to interpret the results and use Excel's built-in function for the test.

What is the main objective of the tutorial?

• To learn how to use Excel for data entry

• To perform a chi-squared test of independence using Excel

• To create graphs in Excel

• To calculate averages in Excel

How many people were in the sample used in the example?

• 150

• 100

• 200

• 250

What Excel function is used to calculate the sum of rows and columns?

• AVERAGE

• COUNT

• SUM

• PRODUCT

How many smokers were there in total in the sample?

• 45

• 29

• 71

• 84

What is the formula to calculate the expected value for a cell in the contingency table?

• Row total divided by column total

• Column total multiplied by overall total

• Row total multiplied by column total divided by overall total

• Overall total divided by row total

What is the expected number of male smokers in the example?

• 29

• 16

• 45

• 22.5

How is the chi-squared value calculated?

• By subtracting expected values from observed values

• By multiplying all expected values

• By adding all observed values

• By adding all squared differences divided by expected values

What is the formula for calculating degrees of freedom in a chi-squared test?

• Number of rows * Number of columns

• (Number of rows - 1) * (Number of columns - 1)

• (Number of rows + 1) * (Number of columns + 1)

• Number of rows - Number of columns

What does a p-value less than 0.05 indicate in this test?

• The null hypothesis is accepted

• There is no association between variables

• The test is invalid

• The null hypothesis is rejected

Which Excel function can directly calculate the chi-square p-value?

• CHISQ.INV

• CHISQ.DIST.RT

• CHISQ.TEST

• CHISQ.DIST