{"id":261547,"date":"2024-04-24T13:38:52","date_gmt":"2024-04-24T13:38:52","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=261547"},"modified":"2024-04-24T13:38:52","modified_gmt":"2024-04-24T13:38:52","slug":"how-to-find-p-value-from-critical-value-chi-square","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-find-p-value-from-critical-value-chi-square\/","title":{"rendered":"How to find p value from critical value chi-square?"},"content":{"rendered":"

**How to find p value from critical value chi-square?**<\/p>\n

When working with chi-square tests, it is common to use critical values to determine the statistical significance of the test. The critical value is compared to the test statistic (the chi-square value) to determine if the observed data is significantly different from the expected data. However, it is often more informative to report the p-value, which provides a measure of the strength of the evidence against the null hypothesis.<\/p>\n

To find the p-value from the critical value chi-square, you need to understand the concept of cumulative distribution function (CDF). The cumulative distribution function calculates the probability of observing a value less than or equal to a given test statistic. By subtracting this probability from 1, you can obtain the p-value representing the probability of obtaining a test statistic as extreme or more extreme than the observed data.<\/p>\n

To find the p-value from the critical value chi-square, follow these steps:<\/p>\n

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