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Performs unpaired t test, Weldh's t test (doesn't assume equal variances) and paired t test. Calculates exact P value and 95% confidence interval. Clear results with links to extensive explanations.
This example illustrates how each type of t test could be chosen for a specific analysis, and why the one sample t test is the correct choice to determine if the measured pH of the bottled water samples match the advertised pH of 8.5.
If you’re wondering how to do a t test, the easiest way is with statistical software such as Prism or an online t test calculator. If you’re using software, then all you need to know is which t test is appropriate ( use the workflow here ) and understand how to interpret the output.
The calculator will compare the means to ask whether the observed differences are likely to be due to coincidence. Enter either raw data (enter each value) or averaged data (enter mean, N and SD or SEM).
Descriptive statistics, detect outlier, t test, CI of mean / difference / ratio / SD, multiple comparisons tests, linear regression.
Calculate P from t, z, r, F or chi-square, or vice-versa. View Binomial, Poisson or Gaussian distribution. Correct a P value for multiple comparisons and Bayes.
The t test compares the difference between two means and compares that difference to the standard error of the difference, computed from the standard deviations and sample size. If you only know the two means, there is no possible way to do any statistical comparison.
This calculator is for 2x2 contingency tables that separate each subject into one of four categories based on two factors, each with two possibilities. Simply label the rows and columns, then type in the counts for each cell to test the relationship between the two factors.
Use this calculator to compute a two-tailed P value from any Z score, T score, F statistic, correlation coefficient (R), or chi-square value. Once you have obtained one of these statistics (from a publication or even another program) the P value helps interpret its statistical significance.
This calculator compares observed and expected frequencies within (up to 20) categories using the chi-square test. Enter the names of the categories into the first column, then enter the actual counts observed and expected for each group.