There is no one level of significance that is applied to all

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TRUE or FALSE 

The level of significance is the probability that a true hypothesis is rejected.

A Type one error is also referred to as an alpha risk.

For a one-tailed test of Hypothesis, the area of rejection is only in one tail of the test.

The level of significance is selected after setting up a decision rule.

To set up a decision rule, the sampling distribution is divided into two regions – a region of non-rejection and a region where the null hypothesis is rejected.

There is no one level of significance that is applied to all studies involving sampling.

Reference no: EM13240898

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