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hivesaeed4
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How do we calculate the P-value from the chi-square test? Is their some formula for doing so? I want to do it by hand and not by some online calculator or application.
To calculate the P-value from a chi-square test, you first need to determine the chi-square statistic by performing the chi-square test on your data. Then, you can use a chi-square distribution table or a statistical software to find the area under the curve that corresponds to your chi-square statistic. This area represents the P-value.
The significance level, also known as alpha, is the threshold for determining if the P-value is small enough to reject the null hypothesis in a chi-square test. It is typically set at 0.05 or 5%, meaning that if the P-value is less than 0.05, the results are considered statistically significant and the null hypothesis can be rejected.
No, a P-value cannot be negative. It represents the probability of obtaining a result equal to or more extreme than the observed result, assuming the null hypothesis is true. Therefore, it is always a positive value between 0 and 1.
A small P-value (typically less than 0.05) suggests that the results of the chi-square test are statistically significant, and the null hypothesis can be rejected. This means that there is a low probability that the observed data is due to chance and there is likely a relationship between the variables being tested.
Yes, a high P-value (typically greater than 0.05) suggests that the results of the chi-square test are not statistically significant, and the null hypothesis cannot be rejected. This means that there is a high probability that the observed data is due to chance and there is not enough evidence to conclude that there is a relationship between the variables being tested.