31.

When estimating a population proportion using the sample proportion, what is margin of error?

Group of answer choices

Margin of error measures how badly you measure things.

Not enough information to decide.

Margin of error is the range that the sample proportion is likely to vary just due to chance from sampling variation

No answer text provided.

32. DISCUSSION - Confidence intervals - level of confidence

What does it mean to be "95% confident" in your estimate?  

Group of answer choices

When you perform this procedure many times, then the thing you are estimating will be in the confidence interval about 95% of the time.

The probability is .95 that you are correct.

You will always be wrong 5% of the time

No answer text provided.

33. DISCUSSION - Significance levels

What is the significance level of a hypothesis test? 

Group of answer choices

The significance level is the cutoff point for rejecting or not rejecting the null hypothesis based on the p-value. If the p-value is less than the significance level, then you reject the null hypothesis, otherwise, you don't reject the null hypothesis.

No answer text provided.

The significance level tells you whether it's worth it to collect the data.

The significance level of the test measures how important the test results are.

34. DISCUSSION - P-values 

You are conducting a hypothesis test and find p-value = .001.  What does this mean?

Group of answer choices

You should accept the null hypothesis.

The chance is .999 that you're correct.

The chance the null hypothesis is false equals .001.

The chance of observing the result you obtained if the null hypothesis is true equals .001