Question
In: Statistics and Probability
the following data show the yearly budgets for leading business for leading business sectors in the...
the following data show the yearly budgets for leading business for leading business sectors in the United States, in thousand dollars. compute the test value for a difference in means budget. Beverages 163 136 43 41 38 20 18: Electronics 44 35 31 28 22 21 11: food producers 52 37 36 21 19 18 17: Supportive services 47 43 42 34 31 21 17.
Solutions
orchestra answered 1 year agoRelated Solutions
Leading Businesses The following data show the yearly budgets for leading business sectors in the United...
Leading Businesses The following data show the yearly
budgets for leading business sectors in the United States. At
α = 0.05, is there a significant difference in the mean
budgets of the business sectors? The data are in thousands of
dollars.Use the traditional method of hypothesis testing unless
otherwise specified.
a. State the hypotheses and identify the claim.
b. Find the critical value.
c. Compute the test value.
d. Make the decision.
e. Summarize the results.
Beverages
Electronics
Food producers...
The following data shows the yearly production data collected from country A and B. Yearly profit...
The following data shows the yearly production data collected
from country A and B. Yearly profit in ‘000 Calculate: 1) the
coefficient of variation for firms in State A and B 2) the
interquartile range for firms in State A and B 3) the median profit
for firms in State A and B 4) the mode profit for firms in State A
and B 5) the profit variance for firms in State A and B 6) mean
deviation from the...
The following data shows the yearly income (in $1,000) and age of a sample of seven...
The following data shows the yearly income (in $1,000) and age
of a sample of seven individuals.
Income (in $1,000) (Y)
Age (X)
20
18
24
20
24
23
25
34
26
24
27
27
34
27
SUMMARY OUTPUT
Regression Statistics
Multiple R
$0.48
R Square
$0.23
Adjusted R Square
$0.07
Standard Error
$4.11
Observations
7
ANOVA
df
SS
MS
F
Significance F
Regression
1
24.79
24.79
1.46
0.28
Residual
5
84.64
16.93
Total
6
109.43
Coefficients
Standard Error
t...
The following data were collected on the yearly registration for a six sigma seminar at the...
The following data were collected on the yearly registration
for a six sigma seminar at the University of Malaya
Tahun/Year
Pendaftaran/ Registration
1
400
2
600
3
400
4
500
5
1000
6
800
7
700
8
900
9
1200
10
1400
a. Calculate a 3-year moving average to forecast
registration from year 4 to year 11.
1) The following data shows the yearly production data collected from firms in XYZ state and...
1) The following data shows the yearly production data collected
from firms in XYZ state and ABC state.
Yearly production in tons
Number of Firms in XYZ
Number of Firms in ABC
50 - 150
9
35
150 - 250
10
40
250 - 350
11
56
350 - 450
40
62
450 - 550
56
78
550 - 650
68
55
650 - 750
110
53
750 - 850
125
52
850 - 950
98
44
950 - 1050...
Answer the following questions. Show all work leading to your answer. On a network with an...
Answer the following
questions.
Show all work leading
to your answer.
On a network with an IP address of 140.133.28.72 and a subnet
mask of 255.248.0.0, what is the network ID?
You have decided to create 254 subnets on your Class B network.
What subnet mask will you use to accomplish this? What is the
maximum number of hosts you can assign to any single subnet?
Your workstation's IP address is 10.35.88.12, and your
supervisor's workstation's IP address is 10.35.91.4....
In a game show, a wheel of fortune is rotated five times with three sectors of...
In a game show, a wheel of fortune is rotated five times with
three sectors of the same size in the colors blue, red and white.
What is the probability of the following events?
a.) The wheel does not stop in any of the 5 attempts in the red
sector.
b.) The blue sector is hit exactly 4 times.
c.) The sector with the color white occurs at least twice.
The following data represent a company's yearly sales and its advertising expenditure over a period of...
The following data represent a company's yearly sales and its
advertising expenditure over a period of 8 years.
Advertising Expenditure (in $10,000)
(x)
Sales in
Millions of Dollars (y)
32
15
33
16
34
18
34
17
35
16
37
18
39
21
40
24
a.
Develop a scatter diagram of sales versus advertising
and explain what it shows regarding the
relationship between sales and advertising.
b.
Compute an estimated regression equation between sales and
advertising.
c.
If the...
The following data represent a company's yearly sales and its advertising expenditure over a period of...
The following data represent a company's yearly sales and its
advertising expenditure over a period of 8 years.
Advertising Expenditure (in $10,000)
(x)
Sales in
Millions of Dollars (y)
32
15
33
16
34
18
34
17
35
16
37
18
39
21
40
24
a.
Develop a scatter diagram of sales versus advertising
and explain what it shows regarding the
relationship between sales and advertising.
b.
Compute an estimated regression equation between sales and
advertising.
c.
If the...
The following data represent a company's yearly sales and its advertising expenditure over a period of...
The following data represent a company's yearly sales and its
advertising expenditure over a period of 8 years.
Advertising Expenditure (in $10,000)
(x)
Sales in
Millions of Dollars (y)
32
15
33
16
34
18
34
17
35
16
37
18
39
21
40
24
a.
Develop a scatter diagram of sales versus advertising
and explain what it shows regarding the
relationship between sales and advertising.
b.
Compute an estimated regression equation between sales and
advertising.
c.
If the...
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