Exercise 88
Refer to the Baseball 2005 data, which reports information on the 30 major league teams for the 2005 baseball season.
a. Select the variable team salary and find the mean, median, and the standard deviation.
Mean = 73.06
Median = 66.20
Standard deviation = 34.23
b. Select the variable that refers to the age the stadium was built. (Hint: Subtract the year in which the stadium was built from the current year to find the stadium age and work with that variable.) Find the mean, median, and the standard deviation.
Mean = 28.20
Median = 17.50
Standard deviation = 25.94
c. Select the variable that refers to the seating capacity of the stadium. Find the mean, median, and the standard deviation.
Mean = 45,913
Median = 44,174
Standard deviation = 5,894
Exercise 56
Assume the likelihood that any flight on Northwest Airlines arrives within 15 minutes of the scheduled time is .90. We select four flights from yesterday for study.
a. What is the likelihood all four of the selected flights arrived within 15 minutes of the scheduled time?
P(x=4) = 0.65610
b. What is the likelihood that none of the selected flights arrived within 15 minutes of the scheduled time?
P(x=0) = 0.00010
c. What is the likelihood at least one of the selected flights did not arrive within 15 minutes of the scheduled time?
P(x≥1) = 0.99990
n = 4, p = 0.9, q = 0.1
Binomial Distribution
x p(x)
0 0.00010
1 0.00360
2 0.04860
3 0.29160
4 0.65610
Exercise 64
An internal study by the Technology Services department at Lahey Electronics revealed
company employees receive an average of two emails per hour. Assume the arrival of
these emails are approximated by the Poisson distribution.
a. What is the probability Linda Lahey, company president, received exactly 1 email
between 4 P.M. and 5 P.M. yesterday?
P(x=1) = 0.270670566
b. What is the probability she received 5 or more email during the same period?
P(x≥5) = 0.016563608
c. What is the...