Question
In: Statistics and Probability
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 mean for firms in State A and B
|
Yearly profit in ‘000 |
Number of Firms in State A |
Number of Firms in State B |
|
100 -150 |
40 |
30 |
|
150 - 200 |
72 |
80 |
|
200 - 250 |
80 |
88 |
|
250 - 300 |
100 |
72 |
|
300 - 350 |
120 |
140 |
|
350 - 400 |
110 |
190 |
|
450 - 500 |
80 |
150 |
|
550 – 600 |
30 |
40 |
Solutions
orchestra answered 3 years agoRelated Solutions
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...
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.
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 was collected by taking samples of size 10 from a production process at...
The following data was collected by taking samples of size 10
from a production process at Murray Manufacturing. The average
weight and range are resented in the data below. Develop an X bar
chart to determine if the production process is statistically in
control and comment on any pattern, if present. Sample Sample Mean
Range 1 11 1.5 2 12 1 3 14 2 4 11 .5 5 13 1 6 14 1 7 12 1.5 8 12 2
9...
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are...
Data collected on the yearly registrations for a Six Sigma
seminar at the Quality College are shown in the following
table:
Year
1
2
3
4
5
6
7
8
9
10
11
Registrations (000)
5.00
7.00
3.00
5.00
9.00
9.00
7.00
11.00
13.00
14.00
12.00
a. Calculate the forecasted registrations for years 2 through 12
using exponential smoothing, with a smoothing constant (α) of 0.40
and a starting forecast for 5.00 year 1 (round your responses to
one demical...
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are...
Data collected on the yearly registrations for a Six Sigma
seminar at the Quality College are shown in the following
table:
Year
1
2
3
4
5
6
7
8
9
10
11
Registrations (000)
4.00
5.00
4.00
4.00
9.00
9.00
6.00
9.00
11.00
16.00
12.00
a) Calculate the forecasted registrations for years 2 through
12 using exponential smoothing, with a smoothing constant
(α)
of
0.30
and a starting forecast of
4.00
for year 1 (round your responses to...
The table below shows data collected on the vessel calls for a port in Ghana, from...
The table below shows data collected on the vessel calls for a
port in Ghana, from 2007-2016 to study the relationship between the
number of Commercial Vessels (C.V.) and Offshore Vessels (O. V.).
Year 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 C. V. (X)
527 486 481 558 623 611 606 543 615 673 O. V. (Y ) 67 129 475 719
1175 1053 758 844 910 928 Assuming a linear regression model E(Y |X
= x)...
Konza Company has collected the following cost and production data from their manufacturing operations over the...
Konza Company has collected the following cost and production
data from their manufacturing operations over the past eight
months.
Period
Units Produced
Total costs (Sh)
1
2,200
10,500
2
3,100
12,750
3
5,600
18,500
4
1,700
9,250
5
6,300
20,750
6
8,100
25,250
7
5,050
17,625
8
3,000
12,500
(a) Using the high-low method ;
i. Estimate the fixed production costs,
ii. Estimate the variable production cost per unit,
(b) Establish a cost estimating function for the total
production costs....
1. The following data shows memory scores collected from adults of different ages. Age (X) Memory...
1. The following data shows memory scores collected from adults
of different ages.
Age (X)
Memory Score (Y)
25
10
32
10
39
9
48
9
56
7
Use the data to find the regression equation for predicting
memory scores from age
Group of answer choices
a. Ŷ = 4.33X + 0.11
b. Ŷ = -0.11X + 4.33
c. Ŷ = -0.11X + 13.26
d. Ŷ = -0.09X + 5.4
e. Ŷ = -0.09X + 12.6
1a
Use the regression...
The data below shows data collected at the end of a statistics class to investigate the...
The data below shows data collected at the end of a statistics
class to investigate the relationship between x = study time per
week (average number of hours) and y = college GPA. The table shows
the data for the 8 males in the class on these variables and on the
number of class lectures of the course that the student reported
skipping during the term.
Is there a statistically significant correlation between study
time and GPA at the .05...
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