Question

In: Math

The fact that confidence intervals and hypothesis tests are both used to determine statistical significance means...

The fact that confidence intervals and hypothesis tests are both used to determine statistical significance means that they can be used interchangeably and give us the same information.

True
False


Rationale:

Solutions

Expert Solution

The fact that confidence intervals and hypothesis tests are both used to determine statistical significance means that they can be used interchangeably and give us the same information.

True
False


Rationale: In both ways we have the same null hypothesis.

When using the confidence interval, we check whether null hypothesis value lies within the calculated range or not. We will then reject the null hypothesis.Eg.95% confidence interval is calculated and the null hypothesis value is not within the range that means only 5% of the times the null hypothesis will be true which is sufficient to reject it.

When using p-value method.We calculate the probability of null hypothesis being true (p-value). If this is less than level of significance again it would mean only 5% of the times the null hypothesis will be true which is sufficient to reject it.

These methods can therefore give difference answer.


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