Question

Asked Jan 26, 2020

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Why don’t hypothesis tests always yield correct decisions?

Step 1

Hypothesis testing:

R.A.Fisher (Ronald Fisher) was introduced Hypothesis testing.

It is used to make a decision of two datasets, then it is an assumption of population parameter.

Step 2

In hypothesis testing, there are four steps

- Set up the hypothesis:

Null hypothesis:

It defines that there is no significant difference between the two population means.

Alternative hypothesis:

It defines that there is a significant difference between the two population means.

Step 3

- Level of significance:

Commonly the level of significance was fixed by 5%, for this the probability of sample mean is less than level of significance and then we reject the null hypothesis whi...

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