How do I know when to use the independent or dependent samples t-test?

Dependent samples are paired measurements for one set of items. Independent samples are measurements made on two different sets of items. When you conduct a hypothesis test using two random samples, you must choose the type of test based on whether the samples are dependent or independent.

What is the purpose of a two sample t-test for independent samples?

The two-sample t-test (also known as the independent samples t-test) is a method used to test whether the unknown population means of two groups are equal or not.

What is an independent sample?

Learn more about Minitab 19. Independent samples are samples that are selected randomly so that its observations do not depend on the values other observations. Many statistical analyses are based on the assumption that samples are independent. Others are designed to assess samples that are not independent.

What is a one-sample t-test used for?

The one-sample t-test is a statistical hypothesis test used to determine whether an unknown population mean is different from a specific value.

What is an independent test?

The independent t-test, also called the two sample t-test, independent-samples t-test or student’s t-test, is an inferential statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups.

What are the 3 types of t-tests?

There are three main types of t-test:

• An Independent Samples t-test compares the means for two groups.
• A Paired sample t-test compares means from the same group at different times (say, one year apart).
• A One sample t-test tests the mean of a single group against a known mean.

What is t-test in Research example?

A one-sample t-test is used to compare a single population to a standard value (for example, to determine whether the average lifespan of a specific town is different from the country average).

What is the difference between independent and one-sample t-test?

The independent sample t-test compares the mean of one distinct group to the mean of another group. On the other hand, the one-sample t-test compares the mean score found in an observed sample to some predetermined or hypothetical value.

What are the 4 types of t-tests?

Types of t-tests (with Solved Examples in R)

• One sample t-test.
• Independent two-sample t-test.
• Paired sample t-test.

What is t test for dependent samples?

The dependent t-test for paired samples is used when the samples are paired. This implies that each individual observation of one sample has a unique corresponding member in the other sample.

How to do t test in SPSS?

Import the data from the MS Excel to SPSS by pasting the data on the ‘Data View’ page.

Next,transfer the dependent variable data i.e. scores of the students into the ‘Test Variable (s):’ box.

The next step in the process is defining the groups.

Next,enter ‘A’ in Group 1 which represents the students taught using vocational teaching style.

What is an example of a two sample t test?

Idea and demo example. The idea of two sample t-test is to compare two population averages by comparing two independent samples. A common experiment design is to have a test and control conditions and then randomly assign a subject into either one.

What is an example of a dependent t test?

A dependent t-test is an example of a “within-subjects” or “repeated-measures” statistical test. This indicates that the same participants are tested more than once. Thus, in the dependent t-test, “related groups” indicates that the same participants are present in both groups.