Convert Step 1 to a decimal. 100 90 10.
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To find the p-value associated with this Chi-Square test statistic and degrees of freedom we can use the following formula in Excel.
. Chi-Square Test Statistic X 2. Subtract the confidence level from 100 to find the α level. CHISQDISTRT436 4 Heres what that looks like in Excel.
This is the area in each tail. A statistician was carrying out F-Test. Find a critical value for a 90 confidence level Two-Tailed Test.
An F statistic is a value you get when you run an ANOVA test or a regression analysis to find out if the means between two populations are significantly different. A T-test will tell you if a single variable is statistically significant and an F test will tell you if a group of variables are. The p-value turns out to be 0359472.
Note that smaller values of alpha will lead to larger Chi-Square critical values. Divide Step 2 by 2 this is called α2. If the test statistic is greater than 1967514 then the results of the test are statistically significant.
Find out the F value from the F Table and determine whether we can reject the null hypothesis at 5 level of significance one-tailed test. He got the F statistic as 238. Since this p-value is not less than 005.
Its similar to a T statistic from a T-Test. The degrees of freedom obtained by him were 8 and 3. Subtract Step 3 from 1 because we want the area in the middle.
For example consider the Chi-Square critical value for a significance level of 001 and degrees of freedom 11.
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