Unit 1: Exploring One-Variable Data

A distribution that is skewed right has:

A data set has a mean of 50 and a standard deviation of 10. According to the empirical rule, approximately what percentage of data falls between 30 and 70?

The five-number summary of a data set consists of:

An observation is considered an outlier using the 1.5 × IQR rule if it falls:

A [math]-score of [math] indicates that the observation is:

If every value in a data set is multiplied by 3 and then 5 is added, the standard deviation of the new data set is:

A normal distribution is:

The percentile rank of an observation tells you:

A data set has a mean of 50 and a median of 45. Which of the following best describes the shape of the distribution?

Which of the following changes to a data set would increase the standard deviation?

The five-number summary of a data set is {10, 25, 35, 50, 90}. Using the 1.5 × IQR rule, which value is an outlier?

A student scores at the 80th percentile on a standardized test. What does this mean?

A distribution has mean 70 and standard deviation 5. What is the z-score of a value of 82?

Which of the following is NOT a valid way to compare two distributions?

If every value in a data set is multiplied by 3, what happens to the mean and standard deviation?

Which measure of center is more resistant to outliers?

Which type of graph is best for displaying the distribution of a small quantitative data set?

On a cumulative relative frequency plot (ogive), the median corresponds to the value at:

The variance of a data set is 16. What is the standard deviation?

If 10 is added to every value in a data set, what happens to the standard deviation?