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Significance level in hypothesis testing in any of the sciectific investigation to make decision

Hypothesis testing

Hypothesis testing is a testing of decision predicted or a statement in order to accept or reject of any statement to make an authentic decision.

In any of the hypothesis testing two error should be taken into under consideration.

Type one error
Type two error

In all types of hypothesis testing type one error is more serious than type two error. Hence, decision maker in any scientific investigation tries to control type one error with more attention.

The controlling of type one error is related with the significance level of the test at which the tests are ongoing.

Let us set up hypothesis as

Null hypothesis = 50

Alternative hypothesis not equal to 50

The sample mean is x

The condition of rejecting of Null hypothesis is only when sample mean is greater than 53 or less than 47. But, if the sample mean place between 47 to 53 that is closer to 50, is not strong evidence of rejecting null hypothesis.

A null hypothesis can be reject in significance level .05. But, when the value of significance level is .01 then all of the null hypothesis is accepted.

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