EMBA 594

subject Type Homework Help
subject Pages 6
subject Words 751
subject Authors David M. Levine David F. Stephan, Kathryn A. Szabat

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TABLE 2-14
The table below contains the number of people who own a portable Blu-ray player in a
sample of 600 broken down by gender.
Referring to Table 2-14, ________ percent of the 600 owned a portable Blu-ray player.
TABLE 17-5
You worked as an intern at We Always Win Car Insurance Company last summer. You
notice that individual car insurance premiums depend very much on the age of the
individual, the number of traffic tickets received by the individual, and the population
density of the city in which the individual lives. You performed a regression analysis in
EXCEL and obtained the following information:
Referring to Table 17-5, to test the significance of the multiple regression model, what
are the degrees of freedom?
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TABLE 11-9
The marketing manager of a company producing a new cereal aimed for children wants
to examine the effect of the color and shape of the box's logo on the approval rating of
the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each
logo was presented to 2 different groups (a total of 24 groups) and the approval rating
for each was recorded and is shown below. The manager analyzed these data using the
α = 0.05 level of significance for all inferences.
Referring to Table 11-9, the mean square for the interaction of color and shape is
________.
TABLE 4-6
At a Texas college, 60% of the students are from the southern part of the state, 30% are
from the northern part of the state, and the remaining 10% are from out-of-state. All
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students must take and pass an Entry
Referring to Table 4-6, if a randomly selected student is not from southern Texas, the
probability that the student has not passed the ELM is ________.
A company that sells annuities must base the annual payout on the probability
distribution of the length of life of the participants in the plan. Suppose the probability
distribution of the lifetimes of the participants is approximately a normal distribution
with a mean of 68 years and a standard deviation of 3.5 years. Find the age at which
payments have ceased for approximately 86% of the plan participants.
The interval between patients arriving at an outpatient clinic follows an exponential
distribution at a rate of 1.5 patients per hour. What is the probability that a randomly
chosen arrival interval will be between 10 and 15 minutes?
The number of power outages at a nuclear power plant has a Poisson distribution with a
mean of 6 outages per year. The probability that there will be at least 1 power outage in
a year is ________.
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TABLE 17-10
Given below are results from the regression analysis where the dependent variable is
the number of weeks a worker is unemployed due to a layoff (Unemploy) and the
independent variables are the age of the worker (Age), the number of years of education
received (Edu), the number of years at the previous job (Job Yr), a dummy variable for
marital status (Married: 1 = married, 0 = otherwise), a dummy variable for head of
household (Head: 1 = yes, 0 = no) and a dummy variable for management position
(Manager: 1 = yes, 0 = no). We shall call this Model 1. The coefficient of partial
determination ( ) of each of the 6 predictors are, respectively,
0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201.
Model 2 is the regression analysis where the dependent variable is Unemploy and the
independent variables are Age and Manager. The results of the regression analysis are
given below:
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Referring to Table 17-10, Model 1, what is the standard error of estimate?
TABLE 5-5
From an inventory of 48 new cars being shipped to local dealerships, corporate reports
indicate that 12 have defective radios installed.
Referring to Table 5-5, what is the probability out of the 8 new cars it just received that,
when each is tested, no more than 2 of the cars have defective radios?
Referring to Table 14-7, the estimate of the unit change in the mean
of Y per unit change in X1, holding X2 constant, is ________.
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TABLE 14-7
The department head of the accounting department wanted to see if
she could predict the GPA of students using the number of course
units (credits) and total SAT scores of each. She takes a sample of
students and generates the following Microsoft Excel output:

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