Chapter 3
57. The mean income of all MBA degree holders working in Los Angeles is $86,000 per year
and the standard deviation of their incomes is $10,500 per year. According to
Chebyshev’s theorem, the percentage of MBA degree holders, working in Los Angeles,
with an annual income of $49,250 to $122,750 is at least::
A) 91.84 B) 86.39 C) 87.34 D) 93.84
58. The annual incomes of all MBA degree holders working in Los Angeles have a
bell-shaped distribution with a mean of $71,000 and a standard deviation of $8,000.
According to the empirical rule, the percentage of MBA degree holders working in Los
Angeles who have an annual income of $63,000 to $79,000 is approximately:
A) 86% B) 68% C) 64% D) 89%
59. The annual incomes of all MBA degree holders working in Los Angeles have a
bell-shaped distribution with a mean of $72,000 and a standard deviation of $6,000.
According to the empirical rule, the percentage of MBA degree holders working in Los
Angeles who have an annual income of $54,000 to $90,000 is approximately:
A) 97.9% B) 99.4% C) 94.9% D) 99.7%
60. The annual incomes of all MBA degree holders working in Los Angeles have a
bell-shaped distribution with a mean of $78,000 and a standard deviation of $11,000.
According to the empirical rule, the percentage of MBA degree holders working in Los
Angeles who have an annual income of $56,000 to $100,000 is approximately:
A) 75% B) 95% C) 88% D) 97%
61. The quartiles divide a ranked data set into:
A) 2 equal parts B) 4 equal parts C) 100 equal parts D) 10 equal parts
62. The percentiles divide a ranked data set into:
A) 2 equal parts B) 4 equal parts C) 100 equal parts D) 10 equal parts
63. The value of the third quartile for a data set is 65. This means that:
A) 25% of the values in that data set are smaller than 65.
B) 75% of the values in that data set are smaller than 65.
C) 75% of the values in that data set are greater than 65.
D) 50% of the values in that data set are greater than 65.