{"id":214813,"date":"2024-11-24T04:36:22","date_gmt":"2024-11-24T04:36:22","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-does-critical-value-mean-in-chi-square\/"},"modified":"2024-11-24T04:36:22","modified_gmt":"2024-11-24T04:36:22","slug":"what-does-critical-value-mean-in-chi-square","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-critical-value-mean-in-chi-square\/","title":{"rendered":"What does critical value mean in chi-square?"},"content":{"rendered":"

In statistical hypothesis testing, the chi-square test is a commonly used method to determine whether there is a significant association between categorical variables. When performing this test, it is essential to understand the concept of critical values.<\/p>\n

**The critical value in chi-square refers to a threshold or boundary that helps determine whether the observed data is significantly different from the expected data. It assists in deciding whether to reject or fail to reject the null hypothesis.**<\/p>\n

The null hypothesis assumes that there is no association between the variables, while the alternative hypothesis suggests that there is a relationship. To make an inference about the variables, a chi-square statistic is calculated and compared to the critical value. If the calculated statistic exceeds the critical value, it implies that the observed data significantly deviates from what would be expected under the null hypothesis.<\/p>\n

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