Excel for Statistics > Chi Square P Value Excel

Watch the video on how to calculate a chi square p value Excel. Or, read the step-by-step article below.

P-values are used in hypothesis testing to help you figure out if your results are significant or not. A significant result is one where you reject the null hypothesis. In hypothesis testing, you’re really asking two questions:

- What do the results tell me about a population?
- What is the strength of those results?

A p-value is a number between 0 and 1, but it’s easier to think about them as percentages (i.e. a p-value of 0.05 is 5%). Small p-values (generally under 5%) usually lead you to reject the null hypothesis.

## Calculate the chi square p value Excel: Steps

Step 1: **Calculate your expected value.** The expected value in chi-square is found by dividing your counts (the number of responses or data items) by the number of categories. There are twelve categories (zodiac signs) in the question, so:

29 + 24 + 22 + 19 + 21 + 18 + 19 + 20 + 23 + 18 + 20 + 23 = 256

256 / 12= 21.333

Step 2: **Type your data into columns in Excel. ** For this sample question, type your zodiac signs into column B, the observed values in column C (the observed values are the counts in the question) and your expected value (from Step 1) in column D.

Step 3: **Click a blank cell anywhere on the worksheet** and then click the “Insert Function” button on the toolbar.

Step 4: **Type “Chi” in the Search for a Function box **and then click “Go.”

Step 5: **Select “CHITEST” from the list** and then click “OK.”

Step 6: **Type a range into the “Actual Range” box for your observed values**. For this sample problem, the observed values are in cells C3 to C14, so type “C3:C14.”

Step 7: **Type a range into the “Expected Range” box for your expected values**. For this sample problem, the observed values are in cells D3 to D14, so type “D3:D14.”

Step 8: **Click “OK”** to calculate the p-value in Excel, which for this sample problem is .9265.

*That’s how to find a chi square p value Excel!*

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*Statistical concepts explained visually* - Includes many concepts such as sample size, hypothesis tests, or logistic regression, explained by Stephanie Glen, founder of StatisticsHowTo.

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