When would a t-test be most appropriate?
A t-test can only be used when comparing the means of two groups (a.k.a. pairwise comparison). If you want to compare more than two groups, or if you want to do multiple pairwise comparisons, use an ANOVA test or a post-hoc test.
Why is it important to know what the t-test results are?
T-Tests can help to determine whether or not the difference between an expected set of values and a given set of values is significant.
When do you use the student’s test ( ttest )?
Student’s test (ttest) Notes When the difference between two population averages is being investigated, a ttest is used. In other words, a ttest is used when we wish to compare two means (the scores must be measured on an interval or ratio measurement scale). We would use a ttest if we wished to compare the reading achievement of boys and girls.
What to consider when choosing a t test?
When choosing a t-test, you will need to consider two things: whether the groups being compared come from a single population or two different populations, and whether you want to test the difference in a specific direction. One-sample, two-sample, or paired t-test?
How are t-tests used to analyze survey results?
Analyzing survey results, in most cases, means more than just merely comparing two numbers or graphs. While it takes no particular wisdom to decide whether two numbers are different, learning whether that difference is statistically significant requires a bit more skill and effort. This is where t-tests kick in.
When to use a paired or two sample t test?
If you are studying one group, use a paired t-test to compare the group mean over time or after an intervention, or use a one-sample t-test to compare the group mean to a standard value. If you are studying two groups, use a two-sample t-test. If you want to know only whether a difference exists, use a two-tailed test.