How To Draw A Contingency Table In Excel
Chi Square test in Excel using QI Macros
There are different types of Chi Square tests:
Chi Foursquare test of a Contingency Tabular array
A Chi Square test evaluates if two variables are independent of each other. We've all taken surveys and probably wondered what happened. A Chi Square test of a contingency table helps identify if there are differences between two or more demographics. Consider the post-obit case.
Men vs. Women - Chi Foursquare test Example
We tin develop a null hypothesis (H0) that point of view and gender are independent and an alternate hypothesis (Ha) that gender and bespeak of view are related:
- H0 - ii variables (gender and views) are independent
- Ha - two variables are dependent (views depend on gender)
Now, acquit the survey and enter the number of responses into Excel. As you can meet, men seem to agree more than the women do, but is it statistically different?
Select the data with the mouse and click on QI Macros Menu, Statistical Tools to select the one sample Chi Square test:
The Chi Foursquare test macro volition calculate the values and interpret the results for y'all:
Annotation that we don't need the same number of responses from each group to go a event.
Individual Chi-Square values are listed below the table. They add upward to the total Chi-Square value in F1.
Interpreting the Chi Square results
| If | So | |
| p value < a | Turn down the nada hypothesis | Variables are Related |
| p value > a | Cannot Reject the nada hypothesis (Take the null hypothesis) | Variables are Independent |
In the above results the p value is 0.00031.
If the p value is less than the significance (due east.grand., a=0.05), we can reject the zero hypothesis that views are independent of gender. Gender and point of view are related; men and women accept dissimilar points of view.
Learn More than - Watch This Chi-Square Video
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Source: https://www.qimacros.com/hypothesis-testing/chi-square/
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