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A hypothesis is a fancy way of saying "guess". So to test a guess, you perform tests, or experiments, and make observations to see if this guess holds. If the experiments are sound (there are no flaws in the setup, you have accounted for all variables or things that can affect the results). And after collecting some data, perhaps repeating the experiment, you can see if the data supports the original hypothesis.
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How do you decide whether to use a z test or a t test when testing a hypothesis about a population mean?
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
In a two-way ANOVA you can test main hypothesis and one interactive hypothesis?
Not sure about an interactive hypothesis: are you sure you don't mean alternative hypothesis?
When to apply two tailed test in testing hypothesis?
When the alternative hypothesis is non-directional, we use a two-tailed test. Example: H0: mean = 50 Ha : mean not equal to 50 Here is a directional hypothesis that would use a one-tailed test. H0: mean = 40 Ha : mean > 40 or H0: mean = 40 Ha: mean < 40
What does it mean when tests are chi-square based?
A chi-squared test is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-squared distribution when the null hypothesis is true.
what are the benefits of a two tailed test?
They are used to test hypothesis such as the mean is some value where you do not know if otherwise the mean is less or more.
