Question
In: Statistics and Probability
Location is known to affect the number, of a particular item, sold by an automobile dealer....
Location is known to affect the number, of a particular item, sold by an automobile dealer. Two different locations, A and B, are selected on an experimental basis. Location A was observed for 18 days and location B was observed for 13 days. The number of the particular items sold per day was recorded for each location. On average, location A sold 39 of these items with a sample standard deviation of 8 and location B sold 49 of these items with a sample standard deviation of 4. Does the data provide sufficient evidence to conclude that the true mean number of sales at location A is fewer than the true mean number of sales at location B at the 0.01 level of significance? Select the [Alternative Hypothesis, Value of the Test Statistic].
Solutions
orchestra answered 2 years agoRelated Solutions
A researcher wishes to estimate the number of days it takes an automobile dealer to sell...
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a mean time on the dealer’s lot of 70 days. Assume the standard
deviation for the population is 7.5 days
A) Find the best point estimate of the population mean.
___________(hint: no work needed)
B) Find the 95% confidence interval of the population mean.
Conclusion: We can say with 95% confidence that the population
mean...
In 1985, a particular Japanese imported automobile sold for 1937720 yen or $10334.
In 1985, a particular Japanese imported automobile sold for
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of yen today but the current exchange rate is 134 yen per dollar,
what is the car selling for today in U.S. dollars?
A local tire dealer wants to predict the number of tires sold each month. He believes...
A local tire dealer wants to predict the number of tires sold
each month. He believes that the number of tires sold is a linear
function of the amount of money invested in advertising. He
randomly selects 6 months of data consisting of tire sales (in
thousands of tires) and advertising expenditures (in thousands of
dollars). Based on the data set with 6 observations, the simple
linear regression model yielded the following results.
?X =24
?X2=124
?Y = 42
?Y2 =338...
The accompanying table gives the number of a popular household item sold by a store over...
The accompanying table gives the number of a popular household
item sold by a store over 30 consecutive days
28
32
46
33
39
40
47
53
56
40
44
21
38
62
57
48
36
22
53
34
24
29
32
38
18
37
46
36
37
45
1. Construct a group frequency distribution of the above data
comprising 6 classes of equal width. Let 15 be the lower limit of
the initial class
2. Use the grouped data...
An automobile dealer wants to see if there is a relationship between monthly sales and the...
An automobile dealer wants to see if there is a relationship
between monthly sales and the interest rate. A random sample of
four months was taken. Here are the results of the sample
y
x
Monthly Sales
Interest Rate %
22
9.2
20
7.6
10
10.4
45
5.3
The estimated least squares regression equation is: Ŷ= 75.061 ‐
6.254X
a. Obtain a measure of how well the estimated regression line
fits the data.
b. You want to test to see...
The number of Ford Trucks sold in a month at a particular dealership varies from month...
The number of Ford Trucks sold in a month at a particular
dealership varies from month to month. Suppose the probability
distribution below describes monthly truck sales at this
dealership.
x
f(x)
8
0.20
10
0.35
14
0.25
20
0.20
a. What is the Expected Value of monthly sales?
b. Calculate the variance and standard deviation of monthly
sales.
c. Suppose this dealership makes $1500 profit on each truck
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An automobile dealer conducted a test to determine if the time in minutes needed to complete...
An automobile dealer conducted a test to determine if the time
in minutes needed to complete a minor engine tune-up depends on
whether a computerized engine analyzer or an electronic analyzer is
used. Because tune-up time varies among compact, intermediate, and
full-sized cars, the three types of cars were used as blocks in the
experiment. The data obtained follow.
Analyzer
Computerized
Electronic
Car
Compact
50
41
Intermediate
55
44
Full-sized
63
47
Use α = 0.05 to test for any...
An automobile dealer conducted a test to determine if the time in minutes needed to complete...
An automobile dealer conducted a test to determine if the time
in minutes needed to complete a minor engine tune-up depends on
whether a computerized engine analyzer or an electronic analyzer is
used. Because tune-up time varies among compact, intermediate, and
full-sized cars, the three types of cars were used as blocks in the
experiment. The data obtained follow.
Analyzer
Computerized
Electronic
Car
Compact
49
41
Intermediate
56
45
Full-sized
63
46
Use α = 0.05 to test for any...
An automobile dealer conducted a test to determine if the time in minutes needed to complete...
An automobile dealer conducted a test to determine if the time
in minutes needed to complete a minor engine tune-up depends on
whether a computerized engine analyzer or an electronic analyzer is
used. Because tune-up time varies among compact, intermediate, and
full-sized cars, the three types of cars were used as blocks in the
experiment. The data obtained follow.
Analyzer
Computerized
Electronic
Car
Compact
52
43
Intermediate
55
43
Full-sized
61
46
Use α = 0.05 to test for any...
An automobile dealer conducted a test to determine if the time in minutes needed to complete...
An automobile dealer conducted a test to determine if the time
in minutes needed to complete a minor engine tune-up depends on
whether a computerized engine analyzer or an electronic analyzer is
used. Because tune-up time varies among compact, intermediate, and
full-sized cars, the three types of cars were used as blocks in the
experiment. The data obtained follow.
Analyzer
Computerized
Electronic
Car
Compact
50
42
Intermediate
57
45
Full-sized
61
45
Use α = 0.05 to test for any...
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