Sampling Distributions

To investigate if there's any significant difference in proportions across multiple categories (exceeding expectations, meeting expectations, below expectations, failing), wherein each category follows binomial conditions, what inference tool must researchers employ?

If a set of normally distributed data has a mean of 100 and a standard deviation of 15, what value corresponds to z-score -1?

For a standardized test with normally-distributed scores where students' results average at a score of $\mu$ with standard deviation $\sigma$, which transformation would most likely increase the number of students scoring above three standard deviations from the mean?

In terms of standard deviation units, how far from the mean does approximately the middle 9/10 of data fall on both sides in a normal distribution?

What shape does a normal model have?

Which of the following is true about the area under the normal curve?

What happens to pulling power when we decrease from .10 level Of significance To .01 while keeping everything Else unaltered In A Hypothesis Testing Situation?

What value does the standard deviation have in a standard normal distribution?

What does a z-score indicate in relation to the mean in a normal distribution?

What does a z-score of 0 represent in a normal distribution?