A study on how perishible foods could be stored in the early years of refrigeration. Including storage in ice houses, as it had been done prior to mechanical refrigeration..
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nmims december 2017 assignment
Statistics for Business and Economics 11th Edition_0083Statistics for Business and Economics 11th Edition_0083
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process validation - practicle aspects - ISPE
Computer Lab - Practical Question Bank FACULTY OF COMMERCE, OSMANIA UNIVERSITY ---------------------------------------------------------------------------------------------------------- B.Com (All Streams) Streams) II Year Year W.E.F.2009-10 W.E.F.2009-10 BUSINESS STATISTICS
Time: 60 Minutes
Record : 10 Skill Test : 20 Total Marks : 30 Note: Problems are to be solved by using computers (Excel/Accounting package).
1.
Draw Draw a simp simple le bar bar diag diagra ram m to repr repres esen entt the the foll follow owin ing g figu figure ress rela relati ting ng to manufacturing of machines. Years
2000
No. of machines
2.
3.
1200
2001
2002
1700
1900
2003
2004
2800
2100
The following table gives the result of B.Com students of a college for Four year. Draw a multiple bar diagram from the following data: Year
First Division
1993 1994 1995 1996
10 12 14 11
Second Division 30 45 50 40
Third Division 50 70 60 75
The following data relate to the monthly expenditure (in rupees) of two families A and B. Items of expenditure Food Clothing Rent Light Fuel
Expenditure in Rs. Family – A Family – B 1600 1200 800 600 600 500 400 200 800 600
Represent the above data by a suitable percentage diagram. 4.
Create a Pie diagram to represent the following data of profits of HLT Ltd: Years
2002
2003
2004
2005
2006 1
Profits
5.
5,000
10,000
25,000
30,000
20,000
The following table shows the net revenue earned by railways during Nine years period as given below: Year 1990-91 1991-92 1992-93 1993-94 1994-95 1995-96 1996-97 1997-98 1998-99
Amount 227 127 403 554 379 270 686 581 721
Draw a line diagram from the above data. 6.
Find Arithmetic mean for the following figures: 30
7.
41
47
4
51
53
47
12
12
16
18
20
15
9
0-10 10
10-20 20
20-30 50
30-40 60
40-50 40
50-60 20
From the following data of the weekly wages of 9 workers compute the median wage. 190
210
130
160
180
240
220
200
From the following data find the value of Median. X: F:
11.
37
Find Arithmetic mean for the following frequency distribution:
170 10.
34
8
6
Marks No of students 9.
23
Calculate Arithmetic mean from the following data. Marks No of students
8.
54
10 4
20 7
30 21
40 34
50 25
60 12
70 3
Calculate the median of the following distribution: Length in inches
0-20
20-40
40-60
60-80
80-100
100-120
120-140
140-160
2
No. units
of
1
14
35
85
90
45
18
2
Find Mode from the following data:
12.
12
14
16
18
26
16
20
16
11
12
16
15
20
24
The monthly profits in rupees of 100 shops are distributed as follows:
13.
Profit per shop No of shops
0-100 10
100-200 18
200-300 27
300-400 20
400-500 16
500-600 9
Calculation of mode from the above data. 14.
Calculate Geometric mean of the following data: 6 .5
15.
10
12
15
10 1
14.2
75.5
35.5
22
35
50
72
20 3
40 6
60 5
120 4
Find Range and co-efficient of range for following data: 3
18.
112.5
Calculate the Harmonic mean from the given data:
X: F: 17.
11
Calculate the Harmonic mean of the following; 5
16.
169
7
21
24
37
40
45
Calculate range and its co-efficient from the following data: 10-20 16
Marks No. of students
20-30 20
30-40 24
40-50 16
50-60 8
Find out the Value of the quartile deviation and its co-efficient from the following
19.
data: 24 20.
11
9
17
3
20
14
4
22
27
Compute the value of quartile deviation and its co-efficient from the following: X: F:
21.
7
4 4
8 9
12 17
16 40
20 53
24 37
28 24
32 16
40-45
45-50
From the following data find quartile deviation and its co-efficient: X:
10-15
15-20
20-25
25-30
30-35
35-40
3
F: 8 10 12 15 10 7 Calculate the mean deviation from i) Mean, ii) Median and of the marks obtained by nine students given below:
22.
Marks
7
4
10
9
15
12
8 5 iii) Mode in respect
7
9
7
Calculate the mean deviation from mean from the following data. Also find its coefficient.
23.
X: F: 24.
5 3
10 4
15 8
20 12
25 7
30 2
Calculate the standard deviation from the following
25
27
31
32
35
Compute standard deviation from the following data of income of 10 employees of
25.
a firm: Income (Rs.): 26.
10 0
125
10
20
180
160
145
185
40 10
50 7
60 3
4.5 35
5.5 40
6.5 48
7.5 100
8 .5 125
9.5 87
10.5 43
11.5 22
5 11
6
Find Bowley’s Co-Efficient of Skewness for the following data: 1 10
2 16
3 25
4 18
8
Calculate the co-efficient of correlation from the following data: X: Y:
30.
170
30 20
12
8
No.of Children per family 0 No. of families 7 29.
165
From the following data find out the Karl pearson’s Co-efficient of Skewness: X: F:
28.
140
Compute standard deviation with the help of assumed mean. Marks No. of students
27.
130
57 67
58 68
59 65
59 68
60 72
61 72
62 69
64 71
Find out Average and variance from the following data: Roll No. Marks
1 45
2 55
3 35
4 65
5 40
6 30
7 65
8 34
9 45
10 70 4
31.
Calculate correlation from the following data. Attendance 30 40 50 50 Marks 40 70
60 80
70 90
80 93
32.
If R= 0.6 and N = 64. Find out the probable error of the co-efficient co-efficient of correlation correlation
33.
Calculate the probable error, If R = 0.8 and N = 7.
34.
Two Judges X and Y assign the following ranks to give entries in a beauty contest. Calculate rank correlation co-efficient. A B C D E 1 X: 2 3 5 4 2 Y: 1 4 3 5
35.
Calculate rank correlation co-efficient from the following data: X: 48 58 72 62 56 45 39 Y: 63 78 65 70 38 54 60
52 32
25 28
36.
From the following data obtain the two regression equations and calculate the correlation co-efficient: 1 2 3 4 5 6 7 8 9 X: Y: 9 8 10 12 11 13 14 16 15
37.
The following figures relate to the profits of a commercial concern for 8 years. Calculate three yearly moving average. Years: 1976 1977 1978 1979 1980 1981 1982 1983 Profits (Rs.) 15,42 14,47 15,52 21,02 26,12 31,95 35,37 34,670 0 0 0 0 0 0 0
38.
The Production of Iron during 1977-1983 is given below. Fit a straight line trend to these figures. Year: 1977 1978 1979 1980 1981 1982 1983 Products 48 50 58 52 45 41 49 (in lakhs of tons)
39.
Fit a straight line trend by the method of least squares to the following data. Assuming that same rate of change continues. What would be the predicted earnings for the year 1987. Year : 197 1979 1980 1981 1982 1983 1984 1985 8 5
Earnings (in lakh Rs.)
38
40
65
72
79
60
87
95
40.
Using Five yearly moving average, determine the trend values from the following data: Year: 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 Production 42 44 46 50 48 44 50 52 54 52 (‘000 tons)
41.
Calculate the seasonal index for the following data by using the average method: Year 1st quarter 2nd quarter 3rd quarter 4th quarter 1974 72 68 80 70 1975 76 70 82 74 1976 74 66 84 80 1977 76 74 84 78 1978 78 74 86 82
42.
From the following data, construct an index for 1991 taking 1990 as base:
Commodities A B C D E F 43.
Price in 1990 Rs. 45 55 20 50 85 95
Calculate index number by Average of relative method, using Arithmetic mean.
Commodity Price in 1990 Price in 1991 44.
Price in 1991 Rs. 50 60 40 60 90 110
A 6 8
B 10 15
C 2 4
D 12 8
E 5 5
Compute weighted price index from the following data by using: i) Laspeyre’s method ii) Paasche’s method iii) Dorbish Bowley’s method iv) Marshall – Edge wroth method v) Fisher’s Ideal method. Base year 1995 Current year 1998 Commodity Price Quantity Price Quantity A 3 10 5 20 B C D
6 5 4
12 15 20
8 6 3
15 20 30
6
45.
46.
From the following data price index by weighted average of price relatives method using Arithmetic mean: Commodity Price in 1995 Quantity in 1995 Price in 2000 A 35 5 48 B 25 10 40 C 40 6 50 Construct index number by chain base method for the following data: Years: Price of wheat per 100 kg
47.
1993 600
1994 770
1995 800
1996 840
1997 900
From From the the foll follow owin ing g data data of the the whol wholes esal alee pric pricee of whea wheatt for for the the ten ten year years, s, construct index numbers taking 1979 as base. Years: Price of wheat Rs.20 per kg
48.
1992 530
1979 50
1980 60
1981 62
1982 65
1983 70
1984 78
1985 82
1986 84
The Annual wages (in Rs.) of workers are given along with indices. Find (i) the real wages and ii) the real wage indices. 1990 1991 1992 Years Wages 1800 2200 3400 Consumer price indices 10 170 300
1987 88
1988 90
consumer price 1993 3600 320
49.
Construct the consumer price index number for 1983 on the basis of 1982 from the following data using: i) The aggreg aggregate ate expend expenditu iture re method method.. ii) The family family budget budget method method.. Commoditie Quality Units Price in 1982 Price in 1983 s consumed in (Rs.) (Rs.) 1982 A 6 quintal Quintal 11.50 12.00 B 6 quintal Quintal 10.00 16.00 C 1 kg Kg 12.00 18.00 D 6 kg Kg 16.00 20.00 E 4 kg Kg 4.00 3.00 F 1 kg Kg 40.00 30.00
50.
Construct the cost of living index number from the table given below: Group Index for 1982 Expenditure 1. Food 550 46% 2. Clothing 220 7% 3. Lighting 215 10% 4. House Rent 275 25% 5. Miscellaneous 150 12%