An on-the-job injury occurs every 20 days on average at an automobile plant in
Germany. What is the probability that the next on-the-job injury will occur within 20
days?
0.3679
0.6321
0.9512
0.0488
Stock options are usually awarded at the price of a company’s shares on the date of the
grant. A recent study (Awata, E. “Backdated Options May Snare Some Directors”.
USA Today, March 29, 2007) found evidence that many outside directors received
grants at the lowest price in a given month. Of 17,512 grants before the
Sarbanes-Oxley Act tightened Security and Exchange Commission disclosure rules,
1,726 were at the lowest price in a given month. Assume that there is an average of 21
days in a month on which grants can be made. What is the probability that these results
or more extreme results (i.e. at least 1,726 options with the lowest price are granted)
could occur if the grant is equally likely to be given on any day of the month?
P(Z > 0.48) = 0.3156 , P(−0.48 < Z < 0.48) = 0.3688
P(Z > 6.00) = 0 , P(Z < 6.00) =1
0
1
0.3156
0.3688
Please compute the possibility of discarding credit cards just because of charging
annual fee but not due to high interest rate and bad service.
0.298
0.257
0.800
0.743
The Melbourne Department of Transportation maintains statistics for mishandled bags
per 1,500 airline passengers. In general, the average number of mishandled bags found
in per 1,500 passengers is 3. In 2008, Quick Fly had 5 mishandled bags per 1,500
passengers. What is the probability that in the next 1,500 passengers, Quick Fly will
have no mishandled bag?
0.0067
0.0498
0.0565
0.0431
The number of observations used in this experiment is:
42
42
45
50
What proportion of the variation in y can e explained by the model you found from
the computer output?
90.06%
92.06%
94.9%
96%
Suppose you want to test if the model found from the computer output is useful in
predicting the sales price. Which of the following is a correct statement regarding the
p-value for your test?
p-value < 0.01
0.01 < p-value < 0.05
0.05 < p-value < 0.1
0.1 < p-value < 0.5
In relation to the above test, choose the correct statement.
None of the above
If this model were to be changed and run again, which variable would you recommend
to drop (or exclude) first?
X1
X3
X5
X7
Estimation and Chi-square testing
In order to test the assumption of a Poisson distribution for the number of arrivals
during weekday morning hours, a store employee randomly selects a sample of 100
5-minute intervals during weekday mornings over a 3-week period. For each 5-minute
intervals in the sample, the store employee records the number of customer arrivals.
可觀看題目詳解,並提供模擬測驗!(免費會員無法觀看研究所試題解答)