What kind of research question can the t-test be used to analyze?
The t-test assesses whether the means of two groups are statistically different from each other. This analysis is appropriate whenever you want to compare the means of two groups, and especially appropriate as the analysis for the posttest-only two-group randomized experimental design.
What is an independent t-test in research?
The Independent Samples t Test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.
What assumptions must be met to conduct an independent samples t-test?
Assumptions
- Independence of the observations. Each subject should belong to only one group.
- No significant outliers in the two groups.
- Normality. the data for each group should be approximately normally distributed.
- Homogeneity of variances. the variance of the outcome variable should be equal in each group.
What is an example of an independent t test?
Using the two-sample t -test. The sections below discuss what is needed to perform the test,checking our data,how to perform the test and statistical details.
How to calculate an independent t test?
Examples of t-Test Formula (With Excel Template) Let’s take an example to understand the calculation of the t-Test Formula in a better manner.
When to use independent t test?
When to use an Independent Samples T-Test? You should use an Independent Samples T-Test in the following scenario: You want to know if two groups are different on your variable of interest Your variable of interest is continuous You have two and only two groups You have independent samples You have a normal variable of interest
When to use independent samples t test?
The Independent Samples T-Test is a statistical test used to determine if 2 groups are significantly different from each other on your variable of interest. Your variable of interest should be continuous, be normally distributed, and have a similar spread between your 2 groups.