Hypothesis and Hypothesis Testing
Hypothesis testing is a subfield of inferential statistics. Always two hypotheses are formulated, which assert the opposite.
Null hypothesis H0:
The null hypothesis assumes that there is no difference in a characteristic between two or more groups.
Alternative hypothesis H1:
Alternative hypotheses, on the other hand, assume that there is a difference between two or more groups.
In addition, there are several types of hypotheses
Directional and non-directional (one-tailed and two-tailed)
difference and correlation hypotheses
Hypothesis are used when you want to draw conclusions about a population based on a sample. So always, if you want to prove or say something about the population with a sample.
https://datatab.net/tutorial/hypothesis-testing
Online Statistics Calculator
t-Test:
https://datatab.net/statistics-calculator/hypothesis-test/t-test
Mann-Whitney U-test:
https://datatab.net/statistics-calculator/hypothesis-test/mann-whitney-u-test
Correlation:
https://datatab.net/statistics-calculator/correlation
Regression:
https://datatab.net/statistics-calculator/regression