Does a two sample test for equality of means assuming unequal variances?

Does a two sample test for equality of means assuming unequal variances?

The Two-Sample assuming Equal Variances test is used when you know (either through the question or you have analyzed the variance in the data) that the variances are the same. The Two-Sample assuming UNequal Variances test is used when either: You know the variances are not the same.

How do you interpret two sample assuming unequal variances on Excel?

t-Test

1. First, perform an F-Test to determine if the variances of the two populations are equal.
2. On the Data tab, in the Analysis group, click Data Analysis.
3. Select t-Test: Two-Sample Assuming Unequal Variances and click OK.
4. Click in the Variable 1 Range box and select the range A2:A7.

When to use T vs Z test?

T-score vs. z-score: When to use a t score. The general rule of thumb for when to use a t score is when your sample: Has an unknown population standard deviation. You must know the standard deviation of the population and your sample size should be above 30 in order for you to be able to use the z-score.

When to use the Z-test versus t-test?

Z-test is a statistical hypothesis test that follows a normal distribution while T-test follows a Student’s T-distribution.

When to use a paired t test?

The paired t-test is used when the variable is numerical in nature (for example, the height of a person or the weight of a person) and the individuals in the sample are either paired up in some way (such as a husband and wife) or the same people are used twice (for example, preprocedure and postprocedure).

What is an example of an one sample t test?

For the one-sample t -test, we need one variable. We also have an idea, or hypothesis, that the mean of the population has some value. Here are two examples: A hospital has a random sample of cholesterol measurements for men. These patients were seen for issues other than cholesterol. They were not taking any medications for high cholesterol.