For some positive value of z, the probability that a standard normal
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For some positive value of Z, the probability that a standard normal variable is between 0 and Z is 0.3770. The value of Z is
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[removed]0.18.
[removed]0.81.
[removed]1.16.
[removed]1.47.
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True or False: A worker earns $15 per hour at a plant and is told that only 2.5% of all workers make a higher wage. If the wage is assumed to be normally distributed and the standard deviation of wage rates is $5 per hour, the average wage for the plant is $7.50 per hour.
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[removed]True
[removed]False
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The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound. What percentage of samples of 4 fish will have sample means between 3.0 and 4.0 pounds?
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[removed]84%
[removed]67%
[removed]29%
[removed]16%
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True or False: If the amount of gasoline purchased per car at a large service station has a population mean of $15 and a population standard deviation of $4 and a random sample of 4 cars is selected, there is approximately a 68.26% chance that the sample mean will be between $13 and $17.
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[removed]True
[removed]False
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The t distribution
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[removed]assumes the population is normally distributed.
[removed]approaches the normal distribution as the sample size increases.
[removed]has more area in the tails than does the normal distribution.
[removed]All of the above.
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True or False: A sample of 100 fuses from a very large shipment is found to have 10 that are defective. The 95% confidence interval would indicate that, for this shipment, the proportion of defective fuses is between 0 and 0.28.
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[removed]True
[removed]False
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Suppose we want to test H_{0} : μ ≥ 30 versus H_{1} : μ < 30. Which of the following possible sample results based on a sample of size 36 gives the strongest evidence to reject H_{0} in favor of H_{1}?
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True or False: The larger is the pvalue, the more likely one is to reject the null hypothesis.
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[removed]True
[removed]False
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What do we mean when we say that a simple linear regression model is ‘statistically’ useful?
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[removed]All the statistics computed from the sample make sense.
[removed]The model is an excellent predictor of Y.
[removed]The model is ‘practically’ useful for predicting Y.
[removed]The model is a better predictor of Y than the sample mean.
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Which of the following statements about the method of exponential smoothing is not true?
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[removed]It gives greater weight to more recent data.
[removed]It can be used for forecasting.
[removed]It uses all earlier observations in each smoothing calculation.
[removed]It gives greater weight to the earlier observations in the series.
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A company that manufactures designer jeans is contemplating whether to increase its advertising budget by $1 million for next year. If the expanded advertising campaign is successful, the company expects sales to increase by $1.6 million next year. If the advertising campaign fails, the company expects sales to increase by only $400,000 next year. If the advertising budget is not increased, the company expects sales to increase by $200,000. Identify the outcomes in this decisionmaking problem.
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[removed]Two choices: (1) increase the budget and (2) do not increase the budget.
[removed]Two possibilities: (1) campaign is successful and (2) campaign is not successful.
[removed]Four consequences resulting from the Increase/Do Not Increase and Successful/Not Successful combinations.
[removed]The increase in sales dollars next year.
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The data below represents the amount of grams of carbohydrates in a sample serving of breakfast cereal.
10 
18 
24 
30 
19 
22 
24 
20 
18 
25 
20 
22 
19 
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The coefficient of variation for this data would be Answer[removed]%.
Answer should be consistent with examples in your Levine et al. text and be between one or two decimal places e.g. 12.3 or 12.34 etc.
Please do NOT include units (%) in your answer.
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In a local cellular phone area, company A accounts for 70% of the cellular phone market, while company B accounts for the remaining 30% of the market. Of the cellular calls made with company A, 2% of the calls will have some sort of interference, while 3% of the cellular calls with company B will have interference.
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Given that a randomly selected cellular call is one that has interference, what is the probability it came from company B?
Answer should be between two and four decimal places e.g. 0.12, 0.123, 0.1234 etc.
Please do NOT include any units in your answer.
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The manager of a service station is in the process of analyzing the number of times car owners change the oil in their cars. She believes that the average motorist changes his or her car’s oil less frequently than recommended by the owner’s manual (two times per year). In a preliminary survey she asked 15 car owners how many times they changed their car’s oil in the last 12 months. The results are listed below.
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The value of the test statistic in this problem is approximately equal to Answer[removed]?
Answer should be between two and four decimal places e.g. 1.23, 1.234, 1.2345 etc.
Please do NOT include any units in your answer.
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What would be your decision if a hypothesis test was conducted on this problem with the null hypothesis given as H_{0} : µ ≥ 2 and the alternate hypothesis given as H_{1} < 2?
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[removed]Reject H_{0} at the 10%, 5% and 1% level of significance.
[removed]Reject H_{0} at the 10% and 5% level of significance but do not reject H_{0} at the 1% level of significance.
[removed]Reject H_{0} at the 10% level of significance but do not reject H_{0} at the 5% or 1% level of significance.
[removed]Do not reject H_{0} at either the 10%, 5% or 1% level of significance.
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Refer to the following table which contains the sales (in $,000) for a department store for the first ten months of the year.
Month 
Sales 
January 
440 
February 
480 
March 
590 
April 
400 
May 
500 
June 
550 
July 
470 
August 
500 
September 
600 
October 
520 
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Using a three period moving average (i.e. MA(3)) as a forecasting method, what is the MAPE for this forecasting model Answer[removed]%
Answer should be to four decimal places e.g. if your answer was 12.34%, you would enter 0.1234 as your answer.
Please do NOT include units (%) in your answer.
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Using simple exponential smoothing (with a smoothing constant of 0.2) as a forecasting method, what is the MAPE for this forecast model Answer[removed]%?
Answer should be to four decimal places e.g. if your answer was 12.34%, you would enter 0.1234 as your answer.
Please do NOT include units (%) in your answer.
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The ordered list below resulted from taking a sample of 25 batches of 500 computer chips and determining how many in each batch were defective.
Defects
1, 2, 4, 4, 5, 5, 6, 7, 9, 10, 12, 12, 14, 17, 20, 21, 23, 23, 24, 26, 27, 27, 28, 29, 29
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If a frequency distribution for the defects data is constructed, using ‘0 but less than 5’ as the first class, what would be the relative frequency of the ‘10 but less than 15’ class Answer[removed]%?
Answer should be a percentage value to whole numbers e.g. 12, 23, 34 etc.
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A manufacturer of power tools claims that the average amount of time required to assemble their topoftheline table saw is fifty (50) minutes with a standard deviation of forty (40) minutes (the very large standard deviation is due to a variety of factors including a large variation in skills amongst the ‘Do it yourself’ home handyman which is traditionally one of the companies customer base). Suppose a random sample of 64 purchasers of this table saw is taken.
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What is the probability that the sample mean will be less than 46 minutes Answer[removed]?
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A quality control engineer is interested in the mean length of sheet insulation being cut automatically by machine. The desired length of the insulation is 12 metres. It is known that the standard deviation in the cutting length is 0.15 metres. A sample of 144 cut sheets yield a mean length of 12.14 metres. This sample will be used to obtain a 90% confidence interval for the mean length cut by machine.
What are the two limits of the confidence interval?
min = Answer[removed]
max = Answer[removed]
Answer should be to four decimal places e.g. 1.2345 and 2.3456.
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An insurance company wishes to examine the relationship between income (in $,000) and the amount of life insurance (in $,000) held by families. The company drew a simple random sample of families and obtained the following results:
Family 
Income 
Amount of life insurance 
A 
40 
110 
B 
80 
200 
C 
110 
220 
D 
80 
150 
E 
80 
170 
F 
120 
270 
G 
60 
140 
H 
100 
240 
I 
60 
150 
J 
90 
200 
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What is the least squares estimate of the slope?
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What is the least squares estimate of the Y intercept?
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What is the prediction for the amount of life insurance for a family whose income is $85,000?
Answer should be to four decimal places and be consistent with your original data set, e.g. if your answer was $75,410.90, you would enter 75.4109 as your answer.
Please do NOT include any units in your answer.
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What would be the residual (error) term for a family income of $90,000?
Answer should be to four decimal places and be consistent with your original data set e.g. if your answer was $940.90, you would enter 0.9409. If your answer was $9,400.90, you would enter 9.4009 etc.
Please do NOT include any units in your answer.
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International Pictures is trying to decide how to distribute its new movie ‘Claws’. ‘Claws’ is the story of an animal husbandry experiment at the University of Southern Queensland that goes astray, with tragic results. An effort to breed meatier chickens somehow produces an intelligent, 200 kilogram chicken that escapes from the lab and terrorises the campus. In a surprise ending the chicken is befriended by coach Tim Galvano, who teaches it how to play Rugby and help his team win State, National and World Championships. Because of the movie’s controversial nature, it has the potential to be either a smash hit, a modest success, or a total bomb. International is trying to decide whether to release the picture for general distribution initially or to start out with a ‘limited firstrun release’ at a few selected theatres, followed by general distribution after 3 months. The company has estimated the following probabilities and conditional profits for ‘Claws’:


PROFITS (Millions of $) 

Level of success 
Probability 
Limited release 
General distribution 
Smash 
.3 
22 
12 
Modest 
.4 
9 
8 
Bomb 
.3 
–10 
–2 
International can run sneak previews of ‘Claws’ to get a better idea of the movies’ ultimate level of success. Preview audiences rate movies as either good or excellent. On the basis of past experiences, it was found that 90% of all smash successes were rated excellent (and 10% rated good), 75% of all modest successes were rated excellent (25% rated good) and 40% of all bombs were rated excellent (60% rated good). The cost of running sneak previews is not cheap. Currently, this stands at $1m.
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What is the opportunity loss for a Limited release for a Bomb level of success?
Answer should be to whole numbers only. You do not need to put any units in your answer.
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What would the optimal action be for International before running the sneak preview?
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[removed]Run a limited release with an expected payoff of $7.20m
[removed]Run a limited release with an expected payoff of $6.20m
[removed]Run a general distribution with an expected payoff of $7.20m
[removed]Run a general distribution with an expected payoff of $6.20m
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What is the maximum amount of money that International would be prepared to pay for an absolutely reliable forecast of the movies’ level of success?
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[removed]$9.6m
[removed]$7.2m
[removed]$6.2m
[removed]$2.4m
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What would be the joint probability for a ‘bomb success’ and excellent preview given that in the past, it was found that 40% of all bomb successes were rated excellent?
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Please do NOT include any units in your answer.
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What is the posterior probability of a bomb given the sneak preview indicates good?
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The tourist industry is subject to enormous seasonal variation. A hotel in North Queensland has recorded its occupancy rate for each quarter during the past 5 years. These data are shown in the accompanying table.
Table 1: Occupancy rate

Year 


2004 
2005 
2006 
2007 
2008 
Quarter 1 
0.561 
0.575 
0.594 
0.622 
0.665 
Quarter 2 
0.702 
0.738 
0.738 
0.708 
0.835 
Quarter 3 
0.800 
0.868 
0.729 
0.806 
0.873 
Quarter 4 
0.568 
0.605 
0.600 
0.632 
0.670 
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(All calculations should be to at least three decimal places)
What is the centred moving average that would correspond to Quarter 1 in 2006?
Answer should be consistent with the data provided and be to three decimal places e.g. 0.123, 0.456 etc.
Please do NOT include any units in your answer.
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(All calculations should be to at least three decimal places)
What is the adjusted seasonal index for Quarter 1 Answer[removed]%?
Answer should be listed to three decimal places in the form 0.123 i.e. 0.123 represents 12.3%, 1.234 represents 123.4% etc.
Please do NOT include the units (%) in your answer.
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(All calculations should be to at least three decimal places)
The trend line for this decomposition model can be read off the following partial regression printout (at 3 decimal places) to be Y = 0.650 + 0.004 T where T represents time.
Analysing the partial regression printout, what is the coefficient of determination (R^{2}) for this trend line? (Select the closest correct answer).
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[removed]0.0932 (9.32%)
[removed]0.3448 (34.48%)
[removed]0.4545 (45.45%)
[removed]0.5455 (54.55%)
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(All calculations should be to at least three decimal places)
What would be the forecast in Quarter 1, 2009 using the trend line previously given (i.e. Y = 0.650 + 0.004 T) and the relevant adjusted seasonal index?
Answer should be consistent with the data provided and be to three decimal places e.g. 0.123, 0.456 etc.
Please do NOT include any units in your answer.
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(All calculations should be to at least three decimal places)
If we exponentially smooth the data in Table 1 with a smoothing constant of 0.1, the smoothed value for Quarter 4 in 2004 would be?
Answer should be consistent with the data provided and be to three decimal places e.g. 0.123, 0.456 etc.
Please do NOT include any units in your answer.
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(All calculations should be to at least three decimal places)
If we exponentially smooth the data in Table 1 with a smoothing constant of 0.1, the forecast for Quarter 1 2009 would be?
Answer should be consistent with the data provided and be to three decimal places e.g. 0.123, 0.456 etc.
Please do NOT include any units in your answer.
Answer:[removed]
[removed]