
T test calculator - GraphPad
There are several types of two sample t tests and this calculator focuses on the three most common: unpaired, welch's, and paired t tests. Directions for using the calculator are listed …
One sample t test - GraphPad
In this article you will learn the requirements and assumptions of a one sample t test, how to format and interpret the results of a one sample t test, and when to use different types of t tests.
GraphPad QuickCalcs: Analyze continuous data
Descriptive statistics and confidence interval of a mean. Grubbs' test to detect an outlier. t test to compare two means. One sample t test. Compare observed and expected means. Post test …
GraphPad Software
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.
How to organize data for the GraphPad t test calculator
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 …
Ultimate Guide to T Tests - GraphPad
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 …
P Value Calculator - GraphPad
Free web calculator provided by GraphPad Software. Calculates the P value from z, t, r, F, or chi-square.
Analyze a 2x2 contingency table - GraphPad
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 …
GraphPad
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 …
Linear regression calculator - GraphPad
The calculator above will graph and output a simple linear regression model for you, along with testing the relationship and the model equation. Keep in mind that Y is your dependent …