#Easy chi square calculator how to

Alternatively, for a quick and easy way of generating a p-value, simply use the CHISQ.TEST function.A probability is a number expressing the chances that a specificĮvent will occur.

The steps described will calculate the chi-square statistic, degrees of freedom and the p-value.

#Easy chi square calculator how to

How to perform a chi-square test of independence in Excel: Final wordsĪfter following this guide, you should now know how to perform a chi-square test of independence by using Microsoft Excel. Therefore, there does seem to be an association between gender and smoking status. Since this was less than 0.05, I will reject the null hypothesis, and accept the alternative hypothesis. On the other hand, if p<0.05, I will reject the null hypothesis, and accept the alternative hypothesis. If my alpha level, or significance threshold, was set at 0.05, this would mean I will fail to reject the null hypothesis if p>0.05. Alternative hypothesis – There is an association between gender and smoking status.Null hypothesis – There is no association between gender and smoking status.To interpret the p-value, you need to state the my two hypotheses (null and alternative). Expected range – The cells containing the expected values.Actual range – The cells containing the observed values.=CHISQ.TEST(actual_range, expected_range) There is a function you can use to calculate the chi-square p-value by just using the observed and expected table values. Use the CHISQ.TEST function to calculate the p-value In my example, I get a p-value of 0.028, when rounded. deg_freedom – The cell containing the degrees of freedom value.x – The cell containing the chi-square value.To do this in Excel, you can use the function. The final step in performing the chi-square test is to take the chi-square statistic and degrees of freedom values, and work out the p-value. So, this example has a degrees of freedom of 1. This means to work out my degrees of freedom, I use the following calculation (you can just perform this manually, as it’s very simple math). So, for my example, I have 2 rows and 2 columns. The image below shows all of the formulas used for my example.

Additionally, you need to calculate the overall total from your table. I now need to repeat this process for the next column, as well as the rows in my table. So, to calculate the total in the smokers column, I will use the following formula in a new cell. The first step to performing a chi-square test is to add up each of the rows and columns in the contingency table by using the SUM function. Calculate the row, column and overall totals In the latter part of the tutorial, I will describe how to use an Excel function (CHISQ.TEST) to calculate the p-value quickly from the observed and expected values. In the first part of this tutorial, I will show you how to manually perform the chi-square test in Excel, including calculating the chi-square statistic and p-value. How to perform a chi-square test of independence in Excel What I want to do is to perform a chi-square test of independence to see if there is an association between gender and smoking status in my sample. Since these are the actual values from my experiment, they are known as the observed values. For the females, there were 16 smokers and 84 non-smokers. So, there were 29 males that smoked, and 71 that didn’t. I asked each participant if they were a smoker or non-smoker. From these 200 participants, half were male and half were female. Let’s say I have a sample of 200 people that visited my local pub. In this tutorial, I will show you step-by-step how to perform a chi-square test of independence by using Microsoft Excel.