The textbook defines unusual values as those data points with z ...

[clmills979]

The textbook defines unusual values as those data points with z scores less than z = -2.00
  or z scores greater than z = 2.00.
 
  Comment on this definition with respect to
  Chebyshev's theorem; refer specifically to the percent of scores which would be defined as
  unusual according to Chebyshev's theorem.

Question 2

If all the values in a data set are converted to z-scores, the shape of the distribution of the z-scores
  will be the same as the distribution of the original data. True or false?
 
  A) False B) True

[yuyiding]

Answer to Question 1

Chebyshev's theorem states that in any data set, at least 75 of all values lie within 2 standard deviations of the mean.
Therefore, at most 25 of all values in any data set would be considered unusual by Chebyshev's theorem.

Answer to Question 2

B

[clmills979]

TY

[yuyiding]

You're welcome