Yes
At the same level of significance and against the same alternative hypothesis, the two tests are equivalent.
The null hypothesis is typically tested using statistical tests such as t-tests, ANOVA, or chi-square tests. These tests calculate the probability of obtaining the observed data if the null hypothesis were true. If this probability (p-value) is below a certain threshold (usually 0.05), the null hypothesis is rejected.
T
You use a z test when you are testing a hypothesis that is using proportions You use a t test when you are testing a hypothesis that is using means
A paired samples t-test is an example of parametric (not nonparametric) tests.
When the null hypothesis is true, the expected value for the t statistic is 0. This is because the t statistic is calculated as the difference between the sample mean and the hypothesized population mean, divided by the standard error, and when the null hypothesis is true, these values should be equal, resulting in a t statistic of 0.
A hypothesis is the first step in running a statistical test (t-test, chi-square test, etc.) A NULL HYPOTHESIS is the probability that what you are testing does NOT occur. An ALTERNATIVE HYPOTHESIS is the probability that what you are testing DOES occur.
It doesn"t you fool
Yes. The hypothesis comes first. That determines the nature of the test.
T. Balkir has written: 'Triaxial tests on soils'
i t provided a way to test a hypothesis.
There can be no proper answer since it is not known whether the alternative hypothesis is one sides or two sided.