The one sample t test is a good approach to answer such questions, representing a useful and flexible tool for drawing conclusions about sampled data when the variable is continuous. In this article, ...

The One-Sample t-Test task enables you to test whether the mean of a variable is less than, greater than, or equal to a specific value. The observed mean of the variable is compared to this value.

A t-test is an inferential statistic used in hypothesis testing to determine if there is a statistically significant difference between the means of two samples.

In the one-sample t -test of the example above (and elsewhere), the sampled data serve to estimate both the raw effect size as the difference between the observed and the hypothetical mean, but ...

For the one-sample t-test a new form of the exact distribution of the test statistic t 2 is obtained when sampling from a distribution which is a mixture of two normal distributions. A numerical ...

Our one-sample example with a sample size of 5 has a power of 52% for an expression change of 1.0. The corresponding power for the two-sample test with five observations per sample is 38%.

Calculator for a two-sample pooled-variance t-test: Two-Sample t-Test Calculator (Pooled-Variance) This web calculator conducts a pooled-variance t-test for a difference between two populations' means ...

This article shows how one should properly conduct a paired-sample comparison of means in a test-retest situation where only a subset of the population retakes the exam. For example, suppose all who ...