Contents
How do you know if two sets of data are significantly different?
The Students T-test (or t-test for short) is the most commonly used test to determine if two sets of data are significantly different from each other. A wonderful fact about the Students T-test is the derivation of its name.
How do you compare the differences between two sets of data?
When you compare two or more data sets, focus on four features:
- Center. Graphically, the center of a distribution is the point where about half of the observations are on either side.
- Spread. The spread of a distribution refers to the variability of the data.
- Shape.
- Unusual features.
Is there a difference between two data sets?
It does not say that there is no difference that can be relevant in statistics. It’s a or b. a) there is a statistically significant difference between those two sample means or b) there is no statisticall significant difference between those two sample means.
Can a t test tell if a sample is statistically significant?
Popular Answers (1) No. A t-test tells you whether the difference between two sample means is “statistically significant” – not whether the two means are statistically different.
Can a t test be run between two datasets?
With a t-test you have only 2 alternatives: a) the two means are statistically different and b) the two means are not statistically different. It’s either a) or b). data are not normally distributed. As Rajiv wrote, if your DV is continuous data, you can run a t-test.
How to interpret the results of a statistical analysis?
If the null hypothesis is true and the sample means are not different, a difference between the sample means at least as large as that observed in the first study would be observed only 2% of the time. Many published statistical analyses quote P -values as ≥0.05 (not significant), <0.05 (significant), <0.01 (highly significant) etc.