Welcome to our t-test calculator! Here you can not only easily perform one-sample t-tests, but also two-sample t-tests, as well as paired t-tests. Do you prefer to find the p-value from t-test, or would you rather find the t-test critical values? Well, this t-test calculator ca...
Compute the test statistic as χ2=c1+c2+..+ck and degrees of freedom df=k−1, or the number of categories - 1. Compute the p-value for the Chi-Square distribution with df degrees of freedom using an online calculator, such as the one found at https:...
Step 4: Using the found test-statistic and a Normal distribution table or calculator, find the corresponding p-value. What are a Test-Statistic and P-value? Test-Statistic: When performing a statistical test, we are interested in calculating a number. This number help...
This Test Statistic Calculator calculates the test statistic of either one population mean, comparing two population means, or one population proportion.
The next step is to find the p-value for the test statistic. The p-value is a measure of how “surprising” or “unlikely” some statistic would be given the particular assumptions that the analyst makes. In the case of these t-tests for differences in means, the p-value is the pro...
We want to use these results to test $H_0: \mu_1=\mu_2$ versus $H_a: \mu_1\ne\mu_2$. Find the test statistic for this test. The t-test calculator, work with steps, formula and practice problems would be very useful for grade school students (K-12 education) to learn what ...
Depending on the test you run, you may see other statistics that were used to calculate the P value, including the mean difference, t statistic, degrees of freedom, and standard error. The confidence interval and a review of your dataset is given as well on the results page. ...
If you are also interested in F-test, check our F-statistic calculator. What is a Z-test? A one sample Z-test is one of the most popular location tests. The null hypothesis is that the population mean value is equal to a given number, μ0μ0: H0: μ=μ0.H0: μ=μ0. We...
Using the same aforementioned example, we get the Yates chi-square test statistic of χyates2=11×5−1×5−2222×2212×10×16×6 χyates2=2.905 Looking up this value in a chi-square table or using the Excel function =CHIDIST(2.905, 1) we get the p-value of 0.0883. Using 0.05 as...
SourceDegrees of FreedomSum of SquaresMean SquareF statisticp-value Groups(between groups) k - 1 MSG = SSG / (k - 1) F = MSG / MSE P(x > F) Error(within groups) n - k MSE = SSE / (n - k) Total n - 1 SS(total) = SSG + SSE Sample Variance = SS(total) / (n - ...