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Use this test statistic calculator to evaluate a hypothesis with various statistical parameters based on your data.
If you don't know them, provide some data about your sample(s): sample size, mean, and standard deviation, and our t-test calculator will compute the T-score and degrees of freedom for you. Once all the parameters are present, the p-value, or critical region, will immediately appear underneath the t-test calculator, along with an interpretation!
The test statistic formula calculator is used to evaluate the strength of evidence from the sample. However, the formula varies with the size of the population and the sample, and with these, you can evaluate how far your observed data is from the null hypothesis.
Use the t-statistic calculator (t-value calculator or t test statistic calculator) to compute the t-value of a given dataset using its sample mean, population mean, standard deviation and sample size.
T-Test calculator. The Student's t-test is used to determine if means of two data sets differ significantly. This calculator will generate a step by step explanation on how to apply t – test. Two sample t-test One sample t-test.
This Z-test calculator is a tool that helps you perform a one-sample Z-test on the population's mean. Two forms of this test - a two-tailed Z-test and a one-tailed Z-tests - exist, and can be used depending on your needs.
The probability of a Type II Error can be calculated by clicking on the link at the bottom of the page. The easy-to-use hypothesis testing calculator gives you step-by-step solutions to the test statistic, p-value, critical value and more.
Test statistic. Degrees of freedom. pâvalue. Sampling distribution of test statistic under the null hypothesis. Power function. Significance level 5% Test conclusions. Compute answers using Wolfram's breakthrough technology & knowledgebase, relied on by millions of students & professionals.
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.
A test statistic assesses how consistent your sample data are with the null hypothesis in a hypothesis test. Test statistic calculations take your sample data and boil them down to a single number that quantifies how much your sample diverges from the null hypothesis.