Referring to Table 17-12, what is the estimated probability that a 48-year-old home
owner with a family income of $100,000, a lawn size of 5,000 square feet, a positive
attitude toward outdoor recreation, and two teenagers in the household will purchase a
lawn service?
TABLE 17-3
A financial analyst wanted to examine the relationship between salary (in $1,000) and 4
variables: age (X1 = Age), experience in the field (X2 = Exper), number of degrees (X3 =
Degrees), and number of previous jobs in the field (X4 = Prevjobs). He took a sample of
20 employees and obtained the following Microsoft Excel output:
SUMMARY OUTPUT
Regression Statistics
ANOVA
Referring to Table 17-3, the analyst wants to use an F-test to test H0 : β1 = β2 = β3 = β4
= 0. The appropriate alternative hypothesis is ________.
An insurance company evaluates many numerical variables about a person before
deciding on an appropriate rate for automobile insurance. How long a person has been a
licensed driver is an example of a ________ numerical variable.
Referring to Table 14-19, what is the p-value of the test statistic when
testing whether the model is a good-tting model?
TABLE 14-19
The marketing manager for a nationally franchised lawn service
company would like to study the characteristics that differentiate
home owners who do and do not have a lawn service. A random
sample of 30 home owners located in a suburban area near a large
city was selected; 11 did not have a lawn service (code 0) and 19 had
a lawn service (code 1). Additional information available concerning
these 30 home owners includes family income (Income, in thousands
of dollars) and lawn size (Lawn Size, in thousands of square feet).
The PHStat output is given below:
TABLE 16-5
The number of passengers arriving at San Francisco on the Amtrak cross-country
express on 6 successive Mondays were: 60, 72, 96, 84, 36, and 48.
Referring to Table 16-5, the number of arrivals will be smoothed with a 5-term moving
average. The last smoothed value will be ________.
TABLE 12-5
Four surgical procedures currently are used to install pacemakers. If the patient does not
need to return for follow-up surgery, the operation is called a “clear” operation. A heart
center wants to compare the proportion of clear operations for the 4 procedures, and
collects the following numbers of patients from their own records:
They will use this information to test for a difference among the proportion of clear
operations using a chi-square test with a level of significance of 0.05.
Referring to Table 12-5, the expected cell frequency for the Procedure D/Return cell is
________.
TABLE 2-8
The Stem-and-Leaf display represents the number of times in a year that a random
sample of 100 “lifetime” members of a health club actually visited the facility.
Referring to Table 2-8, if a frequency distribution with equal sized classes was made
from this data, and the first class was “0 but less than 10,” the relative frequency of the
last class would be ________.
TABLE 6-2
John has two jobs. For daytime work at a jewelry store he is paid $15,000 per month,
plus a commission. His monthly commission is normally distributed with a mean of
$10,000 and a standard deviation of $2,000. At night he works occasionally as a waiter,
for which his monthly income is normally distributed with a mean of $1,000 and a
standard deviation of $300. John’s income levels from these two sources are
independent of each other.
Referring to Table 6-2, for a given month, what is the probability that John’s income as
a waiter is less than $1,300?
TABLE 5-7
There are two houses with almost identical characteristics available for investment in
two different neighborhoods with drastically different demographic composition. The
anticipated gain in value when the houses are sold in 10 years has the following
probability distribution:
Referring to Table 5-7, what is the standard deviation of the value gain for the house in
neighborhood B?
Referring to Table 14-19, what is the estimated probability that a
home owner with a family income of $100,000 and a lawn size of
2,000 square feet will purchase a lawn service?
TABLE 14-19
The marketing manager for a nationally franchised lawn service
company would like to study the characteristics that differentiate
home owners who do and do not have a lawn service. A random
sample of 30 home owners located in a suburban area near a large
city was selected; 11 did not have a lawn service (code 0) and 19 had
a lawn service (code 1). Additional information available concerning
these 30 home owners includes family income (Income, in thousands
of dollars) and lawn size (Lawn Size, in thousands of square feet).
The PHStat output is given below:
