1. Is it a necessary condition that the term is normallly distributed to develop hypothesis test?...

1. Is it a necessary condition that the term is normallly distributed to develop hypothesis test? Explain.

Expert Solution

Yes , It is necessary condition that term is normally distributed to develop hypothesis test. The normality assumption means that the collected data follows a normal distribution, which is essential for parametric assumption.

because

Most statistical tests rest upon the assumption of normality. Deviations from normality, called non-normality, render those statistical tests inaccurate, so it is important to know if your data are normal or non-normal.

Tests that rely upon the assumption or normality are called parametric tests. If your data is not normal, then you would use statistical tests that do not rely upon the assumption of normality, call non-parametric tests. Non-parametric tests are less powerful than parametric tests, which means the non-parametric tests have less ability to detect real differences or variability in your data. In other words, you want to conduct parametric tests because you want to increase your chances of finding significant results.

orchestra answered 2 years ago

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