Statistical significance

1 / 5

Choose the statements that are true:

The p-value helps us decide if the null hypothesis should be rejected.

Type II errors are often due to poor statistical power.

The p-value is an indicator of the effect or importance of results.

The p-value is not affected by sample size.

2 / 5

What is a confidence interval?

It explains inaccurate specifications of commands in Stata

It is a sub-category of the interval scale of measurements

It is an interval included in interaction analysis to improve the analytical modelling strategy

It is a range of values in which the unknown population parameter falls

3 / 5

Regarding confidence intervals, does a higher confidence level result in more precision of the estimate?

Yes

No, a higher confidence level reflects less precision of the estimate

4 / 5

What is one of the differences between p-values and confidence intervals?

Only p-values can accept or reject the null hypothesis

Confidence intervals are more informative regarding estimates and uncertainty

P-values can tell us more about bias in our data

There are no differences between p-values and confidence intervals

5 / 5

True or false: The significance level is always set at 5% (p<0.05).

True

False

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The average score is 69%

A GUIDE TO APPLIED STATISTICS WITH STATA