![Independent t-Test [unpaired t-Test] @numiqo](https://i.ytimg.com/vi/ujLHJKrgx1A/maxresdefault.jpg)
Uploaded April 2022 | Updated September 2026, 5 hours ago
The independent t-Test (t-Test for two independent samples or unpaired t-Test) is a statistical test that determines whether there is a difference between two unrelated groups.
The independent samples t-Test is used to make a statement about the population based on two independent samples. To make this statement, the mean value of the two samples is compared. If the difference in means is large enough compared to the standard Error of the mean, it is assumed that the two groups differ.
The online statistics calculator:
numiqo.com/statistics-calculator/hypothesis-test
More information about the independent samples t-test:
numiqo.com/tutorial/unpaired-t-test
Paired t-test:
numiqo.com/tutorial/paired-t-test
and the Video:
numiqo.com/_7IW2PUqe64
One sample t-test:
numiqo.com/tutorial/one-sample-t-test
The independent t-Test (t-Test for two independent samples or unpaired t-Test) is a statistical test that determines whether there is a difference between two unrelated groups.
The independent samples t-Test is used to make a statement about the population based on two independent samples. To make this statement, the mean value of the two samples is compared. If the difference in means is large enough compared to the standard Error of the mean, it is assumed that the two groups differ.
The online statistics calculator:
numiqo.com/statistics-calculator/hypothesis-test
More information about the independent samples t-test:
numiqo.com/tutorial/unpaired-t-test
Paired t-test:
numiqo.com/tutorial/paired-t-test
and the Video:
numiqo.com/_7IW2PUqe64
One sample t-test:
numiqo.com/tutorial/one-sample-t-test
![Independent t-Test [unpaired t-Test]](https://i.ytimg.com/vi/ujLHJKrgx1A/mqdefault.jpg "Independent t-Test [unpaired t-Test]
The independent t-Test (t-Test for two independent samples or unpaired t-Test) is a statistical test that determines whether there is a difference between two unrelated groups.
The independent samples t-Test is used to make a statement about the population based on two independent samples. To make this statement, the mean value of the two samples is compared. If the difference in means is large enough compared to the standard Error of the mean, it is assumed that the two groups differ.
The online statistics calculator:
https://numiqo.com/statistics-calculator/hypothesis-test
More information about the independent samples t-test:
https://numiqo.com/tutorial/unpaired-t-test
Paired t-test:
https://numiqo.com/tutorial/paired-t-test
and the Video:
https://numiqo.com/_7IW2PUqe64
One sample t-test:
https://numiqo.com/tutorial/one-sample-t-test")
![Levenes test [Test for variance equality]](https://i.ytimg.com/vi/x51GDTiPIfI/mqdefault.jpg "Levenes test [Test for variance equality]
Levenes test tests the hypothesis that the variances are equal in different groups. Many statistical testing procedures require that there is equal variance in the samples. How can it now be checked whether the variances are homogeneous, i.e. whether there is equality of variance? This is where the Levene test helps. The Levene test checks whether several groups have the same variance in the population.
► Online calculator
https://numiqo.com/statistics-calculator/hypothesis-test
► Tutorial Levenes test
https://numiqo.com/tutorial/levene-test
► EBOOK
https://numiqo.com/statistics-book")
![Wilcoxon Test [in 49 sec.] #shorts](https://i.ytimg.com/vi/xNlYw3tSl-k/mqdefault.jpg "Wilcoxon Test [in 49 sec.] #shorts
What is the Wilcoxon Test in statistics? A simplified explanation in under a minute. Non parametric Test for two dependent samples. (Data analytics)
#statistics #math #research #datascience #dataanalysis #thesis #stats #researcher #thesiswriting #science")
