# Dissertation Using T Test

## The T-Test in Dissertation & Thesis Research## In dissertation or thesis research, there are two types of inferential statistics: parametric and nonparametric tests. Which type you use for your data depends on the type of measurement scale used and how your collected data are distributed.## Request Dissertation Statistics Help Today |

### T-test: dissertation research questions about differences

When ** two** groups are compared, the statistic that is used very often the

**t-test**. It is an inferential statistic. There are a few basic facts about t-tests:

1. A t-test is used if there are only two groups to compare.

2. This statistical technique answers the null hypothesis: *There is no difference between two groups on their respective mean scores.*

3. There is one Independent variable with *two categories* and there is one Dependent variable.

Basically, the ** independent variable** for a t-test is nominally scaled. There are two discrete categories with one variable. With a t-test there is also only one

**. It is continuous in its numeric range and uses interval or ratio measurement scales.**

*dependent variable*There are two forms of the t-test. One is called the **Independent samples t-test** and the other is called the **Correlated samples t-test**, also referred to as a Paired or Matched Samples t-test.

> For the Independent samples t-test, the two groups have no relationship to each other. They are independent of one another, hence the name Independent Samples t-test.

> Correlated samples t-tests use two groups that have a connection or relationship to each other.

1. *When you have two sets of scores on the same individual.*

2. *When you have data from sets of twins. *

3. *If you have matched your sample on some other variable so that the two groups are alike.*

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