Consider the boxplot for a data set of n = 50 observations given below. + 10 10 + + + + 15 20 25 30 35 40 45 50 55 + + 8. 60 65 70 If the maximum value of 65 is changed to 70, would the value of 70 be considered an outlier? (A) Yes, because 70 would be greater than Q3 + 1.5(Q3-Q1). (B) No, because 70 would not be greater than Q3 + 1.5(Q-Q1). (C) Yes, because 70 would be more than 3 standard deviations above the mean. (D) No, because 70 would not be more than 3 standard deviations above the mean. (E) It cannot be determined from the given information.

Here are the scores of 10 students in an introductory statistics course: 55 74 75 81 83 85 92 93 93 97 Find the interquartile range and use the 1.5 x IQR rule to check for outliers. How low would the lowest score need to be for it to be an outlier according to the rule?

The table shows the weekly income of 20 randomly selected full-time students. If the student did not work, a zero was entered. (a) Check the data set for outliers. (b) Draw a histogram of the data. (c) Provide an explanation for any outliers. 186 293 591 450 230 454 422 96 238 3403 322 292 152 163 211 193 467 319 (a) List all the outliers in the given data set. Select the correct choice below and fill in any answer boxes in your choice. O A. The outlier(s) is/are (Use a comma to separate answers as needed.) O B. There are no outliers.

If you were analyzing the test scores of students and determined that everyone in the class scored between 75 - 100, but one person scored 25%. That one person would be considered   A:the range   B:the spread   C:the count   D:an outlier