Kruskal-Wallis H test.
You can use the z test for two proportions. The link below will do this test for you.
The chi-square test is appropriate to use in statistical analysis when you want to determine if there is a significant association between two categorical variables.
statistical goodness of fit test used for categorical data to test if a sample of data came from a population with a specific distribution. It can be applied for discrete distributions.
It can be, but it is also a statistical distribution in its own right - on which the test is based.
The power of a statistical test is the probability that the test will reject the null hypothesis when it is, in fact, false. Please see the link.
A t-test is used when comparing means of two groups, while a chi-square test is used for comparing frequencies or proportions of categorical data. Use a t-test when comparing numerical data and a chi-square test when comparing categorical data.
You know nothing about how to use statistical analysis to verify or test validity, do u.
t-test
* Always when the assumptions for the specific test (as there are many parametric tests) are fulfilled. * When you want to say something about a statistical parameter.
A chi-square test is used when analyzing categorical data, such as comparing proportions or frequencies between groups. On the other hand, a t-test is used when comparing means between two groups. So, use a chi-square test when dealing with categorical data and a t-test when comparing means.
Yes. It is a statistical test.