Loyola College Business Statistics Question Papers Download
Loyola College B.Sc. Statistics April 2012 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – STATISTICS
THIRD SEMESTER – APRIL 2012
ST 3104/3101 – BUSINESS STATISTICS
Date : 28-04-2012 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
SECTION A
Answer ALL questions. (10 x 2 =20)
- Define median. Give an example.
- Write any two applications of statistics in business.
- Find the mode: 3,5,6,5,6,7,2,8,9,6,7,8,10,6.
- Write down the formulae for Regression equations X on Y and Y on X.
- Define correlation.
- Mention any two uses of Index numbers.
- What is Time Series?
- Write down the formula for Karl Pearson’s coefficient of Skewness
- Define Transportation Problem.
- List out Methods of finding an Initial Basic Feasible Solution (IBFS).
SECTION B
Answer any FIVE questions. (5 x 8 =40)
- Draw a Histogram and Frequency Polygon for the following data:
Class interval | 500-509 | 510-519 | 520-529 | 530-539 | 540-549 | 550-559 | 560-569 |
Frequency | 8 | 18 | 23 | 37 | 47 | 26 | 16 |
- Write down the merits and demerits of statistics.
- Calculate Q.D and coefficient of Q.D for the given data:
X | 10 | 20 | 30 | 40 | 50 | 80 | 90 |
F | 4 | 7 | 15 | 18 | 7 | 2 | 5 |
- Find coefficient of rank correlation between the variables X and Y.
Weight of fathers | 65 | 66 | 67 | 68 | 69 | 70 | 71 |
Weight of mothers | 67 | 68 | 66 | 69 | 72 | 72 | 69 |
- Construct the Price index numbers to the following data by using the method of
(i) Laspeyre’s (ii).Paasche’s (iii). Marshall-Edgeworth (iv). Fisher’s Ideal index number
Commodities |
2010
P0 Q0 |
2011
P1 Q1 |
||
A | 10 | 6 | 15 | 5 |
B | 12 | 10 | 15 | 10 |
C | 18 | 5 | 27 | 3 |
D | 8 | 5 | 12 | 4 |
- Calculate Karl Pearson’s Coefficient of Skewness:
Size | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Frequency | 10 | 18 | 30 | 25 | 12 | 3 | 2 |
- Solve the following Assignment Problem, given the cost involved for each machine.
Works | Machines | ||||
M1 | M2 | M3 | M4 | ||
W1 | 15 | 6 | 7 | 8 | |
W2 | 3 | 13 | 7 | 6 | |
W3 | 8 | 9 | 4 | 10 | |
W4 | 3 | 5 | 7 | 11 | |
- Fit a Straight line to the following data.
X | 2 | 4 | 6 | 8 | 10 |
Y | 4 | 3 | 5 | 3 | 6 |
SECTION C
Answer any TWO questions. (2 x 20 =40)
- (i) Find the Mean and Standard Deviation from the following data:
Class interval | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 | 80-90 |
frequency | 3 | 61 | 132 | 153 | 140 | 51 | 2 |
(ii) Two cricketer scored the following runs in seven matches. Find who is more consistent player.
M.Hussey | 67 | 29 | 95 | 83 | 44 | 101 | 72 |
V.Kholi | 35 | 71 | 108 | 40 | 64 | 94 | 88 |
- Obtain the Initial Basic Feasible Solution and the cost of the Transportation Problem by Using (i) North-West Corner Rule, (ii) Least Cost method and (iii) Vogel’s Approximation Method.
Origin |
Destination | ||||
D1 | D2 | D3 | Supply | ||
O1 | 4 | 9 | 6 | 8 | |
O2 | 5 | 5 | 3 | 11 | |
O3 | 7 | 6 | 10 | 7 | |
O4 | 3 | 8 | 4 | 17 | |
Demand | 10 | 12 | 21 | 43 |
- The following table gives the age of cars of a certain make and annual maintenance costs.
Age of cars in years | 2 | 4 | 6 | 8 | 10 | 12 |
Maintenance cost in Rs.(’00) | 10 | 20 | 30 | 50 | 62 | 74 |
(i) Find the two Regression Equations.
(ii) Estimate the likely Age of cars in years when Maintenance cost in Rs 2500
(iii) Calculate the correlation between Age of cars in years and Maintenance cost.
- Find the seasonal variations by the Link Relative Method to the following data
YEAR | |||||
QUARTER | 2007 | 2008 | 2009 | 2010 | 2011 |
I | 30 | 35 | 31 | 31 | 34 |
II | 26 | 28 | 29 | 31 | 36 |
III | 22 | 22 | 28 | 25 | 26 |
IV | 31 | 36 | 32 | 35 | 33 |
Loyola College B.Sc. Commerce Nov 2008 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – COMMERCE
|
THIRD SEMESTER – November 2008
ST 3104/ST 3101/ST 2101 – BUSINESS STATISTICS
Date : 11-11-08 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
SECTION A
Answer ALL questions. (10 x 2 =20 marks)
- Define statistics.
- Differentiate between primary and secondary data.
- What is the mode of 110, 120, 130, 120, 110, 140, 130, 120, 140.
- If the mode and mean of a moderately asymmetrical distribution are 80 and 68, what is the median?
- If Q1 = 30 and Q3 = 50, what is the coefficient of quartile deviation?
- Define skewness.
- Define correlation.
- Find the mean value of X and Y, from the following regression equations:
4 X – 5 Y + 33 = 0, 20 X – 9 Y – 107 = 0.
- What are the uses of index numbers?
- Define time series data.
SECTION B
Answer any FIVE questions. (5 x 8 =40 marks)
- Explain the scope and limitations of statistics.
- Draw a histogram and frequency polygon for the following data:
Length of leaves(cms.) | 6-7 | 7-8 | 8-9 | 9-10 | 10-11 | 11-12 | 12-13 |
No. of leaves | 5 | 12 | 25 | 48 | 32 | 6 | 1 |
- Calculate Karl Pearsons’ coefficient of skewness:
X | 6 | 12 | 18 | 24 | 30 | 36 | 42 |
f | 4 | 7 | 9 | 18 | 15 | 10 | 5 |
E1 | E2 | E3 | |
No. of employees | 20 | 25 | 40 |
Avg. daily salaries | 305 | 300 | 340 |
Standard deviation | 50 | 40 | 45 |
- A company has 3 establishments E1, E2, E3 in 3 cities. Analysis of the daily salaries (Rs.) paid
to the employees is given below:
Find the average and standard deviation of the monthly salaries of all the 85 employees.
- Analyze the following frequency distribution by the method of moments, find β 2 and interpret the result.
X | 2 | 3 | 4 | 5 | 6 |
f | 1 | 3 | 7 | 3 | 1 |
- From the following data, calculate coefficient of rank correlation.
X | 33 | 56 | 50 | 65 | 44 | 38 | 44 | 50 | 15 | 26 |
Y | 50 | 35 | 70 | 25 | 35 | 58 | 75 | 60 | 55 | 26 |
- Calculate fixed base and chain base index numbers for the following data.
Average wholesale prices (Rs.) | |||||
Commodities | 2003 | 2004 | 2005 | 2006 | 2007 |
A | 2 | 3 | 5 | 7 | 8 |
B | 8 | 10 | 12 | 4 | 18 |
C | 4 | 5 | 7 | 9 | 12 |
- Solve the following Linear Programming Problem: Max z = 22 x + 18 y subject to the constraints, 360 x + 240 y ≤ 5760, x + y ≤ 20, x, y ≥ 0.
SECTION C
Answer any TWO questions. (2 x 20 =40 marks)
- From the prices of shares of company X and Y given below, state which share prices are more stable in value, using coefficient of variation.
X | 35 | 54 | 52 | 53 | 56 | 58 | 52 | 50 | 51 | 49 |
Y | 108 | 107 | 105 | 105 | 106 | 107 | 104 | 103 | 104 | 101 |
- From the following data of sales and purchases (Rs. crores), obtain the two regression equations, and find the estimated sales when the purchase is Rs. 100 Crores.
Sales | 91 | 97 | 108 | 121 | 67 | 124 | 51 | 73 | 111 | 57 |
Purchases | 71 | 75 | 69 | 97 | 70 | 91 | 39 | 61 | 80 | 47 |
- Calculate seasonal variations given the average quarterly price of a commodity for 5 years by ratio to trend method.
Year | I Quarter | II Quarter | III Quarter | IV Quarter |
2001 | 28 | 22 | 22 | 28 |
2002 | 35 | 28 | 25 | 36 |
2003 | 33 | 34 | 30 | 35 |
2004 | 31 | 31 | 27 | 35 |
2005 | 37 | 36 | 31 | 36 |
- There are three sources A, B, C which store a given product. These sources supply these products to four dealers D, E, F, G. The cost (Rs.) of transporting the products from various sources to various dealers, the capacities of the sources and the demands of the dealers are given below.
D | E | F | G | Supply | |
A | 3 | 7 | 6 | 4 | 5 |
B | 2 | 4 | 3 | 2 | 2 |
C | 4 | 3 | 8 | 5 | 3 |
Demand | 3 | 3 | 2 | 2 |
Find out the initial solution for transporting the products by using (i) North-West Corner Rule, (ii) Least Cost method and (iii) Vogel’s Approximation Method. Compare the costs and write down the best initial solution.
Loyola College B.Sc. Commerce Nov 2012 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – COMMERCE
THIRD SEMESTER – NOVEMBER 2012
ST 3104/3101 – BUSINESS STATISTICS
Date : 07/11/2012 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
SECTION – A
Answer All the Questions: ( 10 x 2 =20)
- Define the term Statistics
- How are statistics being mis-used? Give anyone mis-interpretation of statistics.
- Define Weighted Arithmetic Mean.
- Why is median called a positional average?
- State the properties of Pearson’s correlation coefficient.
- What is meant by regression analysis?
- What is the scatter diagram?
- What are the uses of index numbers?
- Define trend and seasonal variation.
- State the components of time series.
SECTION – B
Answer any five questions: ( 5 x 8 =40 )
- Explain the scope and limitation of statistics.
- Draw a histogram and frequency polygon for the following data:
Class | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 |
Frequency | 4 | 6 | 7 | 14 | 16 | 14 | 8 |
- Find coefficient of correlation between the costs and sales for the following data:
Cost | 39 | 65 | 62 | 90 | 82 | 75 | 25 | 98 | 36 | 78 |
Sales | 47 | 53 | 58 | 86 | 62 | 68 | 60 | 91 | 51 | 84 |
- An analysis of the weekly wages paid to workers in two firms, A and B belonging
to the same industry give the following results.
Firm A | Firm B | |
No. of wage earners | 586 | 648 |
Avg. Weekly wage | Rs. 52.5 | Rs. 47.5 |
Variance of the distribution of wage | 100 | 121 |
Find the average weekly wage and the standard deviation of the wage of all the workers in two firms, A and B taken together.
- Find the coefficient of skewness from the following data:
Value | 6 | 12 | 18 | 24 | 30 | 36 | 42 |
Frequency | 4 | 7 | 9 | 18 | 15 | 10 | 5 |
- Analyse the following frequency distribution by the method of moments, find β2 and interpret your results.
X | 2 | 3 | 4 | 5 | 6 |
F | 1 | 3 | 7 | 3 | 1 |
- Calculate Laspeyre’s, Paashe’s, and Fisher’s index numbers for the data given below
Commodity | Base year | Current year | ||
Price | Expenditure | Price | Expenditure | |
A | 5 | 50 | 6 | 72 |
B | 7 | 84 | 10 | 80 |
C | 10 | 80 | 12 | 96 |
D | 4 | 20 | 5 | 30 |
E | 8 | 56 | 8 | 64 |
- Solve (using graphical method)
Max Z = 3X1 + 4 X2
Subject to the constraints 4X1 + 2X2 80
2X1 + 5X2 180
and X1, X2 0.
SECTION –C
Answer any TWO questions. ( 2 x 20 =40)
- a) From the following data, calculate mean and mode (7)
Maks | 0 – 10 | 10 – 20 | 20 – 30 | 30 – 40 | 40 – 50 | 50 – 60 |
No. of students | 10 | 20 | 30 | 50 | 40 | 30 |
- b) From the marks given below obtained by two students taking the same course,
find out who is more consistent. (13)
A | 58 | 59 | 66 | 65 | 66 | 52 | 75 | 31 | 46 | 48 |
B | 56 | 87 | 89 | 46 | 93 | 65 | 44 | 54 | 78 | 68 |
- The following table represents aptitude test scores and productivity indices of 10 workers selected at random.
Aptitude test scores | 60 | 62 | 65 | 70 | 72 | 48 | 53 | 73 | 65 | 82 |
Productivity indices | 68 | 60 | 62 | 80 | 85 | 40 | 52 | 62 | 60 | 81 |
Calculate two regression equations and estimate the productivity index of a worker
whose test score is 92.
- From the following data, calculate seasonal indices by Ratio to trend method.
Year | QUARTERLY SALES (Rs. Lakhs) | |||
I | II | III | IV | |
A | 8 | 16 | 24 | 32 |
B | 48 | 36 | 24 | 12 |
C | 48 | 16 | 32 | 64 |
D | 72 | 108 | 144 | 36 |
E | 56 | 28 | 84 | 112 |
- Obtain an initial basic feasible solution to the following transportation problem by
(i) North-west corner rule
(ii) Least cost method
(iii) Vogel’s approximation methods.
Destination | |||||
origin | D | E | F | G | Availability |
A | 11 | 13 | 17 | 14 | 250 |
B | 16 | 18 | 14 | 10 | 300 |
C | 21 | 24 | 13 | 10 | 400 |
Requirement | 200 | 225 | 275 | 250 |
Loyola College B.Com Nov 2004 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI –600 034
B.com. DEGREE EXAMINATION – COMMERCE
THIRD SEMESTER – NOVEMBER 2003
ST – 3101/STA101 – BUSINESS STATISTICS
06.11.2003 Max:100 marks
9.00 – 12.00
SECTION-A
Answer ALL questions. (10×2=20 marks)
- Define statistic and state any two misuses.
- Mention any four one-dimensional diagrams.
- State a merit and a demerit of median.
- Provide any two properties of Arithmetic mean.
- For a moderately asymmetric distribution, find median when mean and mode are respectively 48 and 60.
- Depict ‘skewness’ and ‘kurtosis’ with the help of diagrams.
- If the regression coefficient of Y on X an X on Y are respectively 0.58 and0.65, Calculate the coefficient of correlation.
- From the following index number of prices, shift the base from 1987 to 1993 and recast the index numbers.
Year: 1987 1988 1989 1990 1991 1992 1993 1994
Index: 100 110 120 200 400 410 400 380
- Construct 5-yearly moving average:
Year: 1988 1989 1990 1991 1992 1993 1994 1995
No. of: 332 317 357 392 402 405 410 417
students
- Express an mxn transportation problem as a Linear programming Problem (L.P.P).
SECTION-B
Answer any FIVE questions. (5×8=40 marks)
- For the following data on heights of 150 students, construct Histogram and locate the mode from it:
Height (In cm): 120-130 130-140 140-150 150-160 160-170 170-180
No. of students: 18 30 40 33 17 12
- Find Geometric mean and Harmonic mean of the following frequency distribution:
C.I: 0-4 4-8 8-12 12-16 16-20
F: 6 10 16 10 8
- Compute rank correlation coefficient between Debenture price and share price of a company given the following data:
Debentures
Price: 79 81 83 85 87 87 89 92
Share
Price: 67 65 66 64 64 64 63 62
- The first four moments of a distribution about the value 3 are 2, 20, 40, 50. Find the first four central moments, b1 and b2 .
- Fit the equation Y = a + bX to the following data:
Year(x) : 1990 1991 1992 1993 1994 1995 1996
Sales(y): 32 47 65 88 132 190 275
Estimate sales for 1997.
- Explain the four components of a time series.
- a) Find Fisher’s Price index number given the following data:
Item Price (1985) Price (1986) Quantity (1985) Quantity (1986)
A 1 5 40 30
B 1 2 20 25
C 8 20 50 60
D 2 5 10 8
E 2 6 15 10
(b) Verify that Time Reversal Test is satisfied by Fisher’s index. (4+4)
- Solve Graphically:
Minimize Z = 20x1+ 40x2
subject to the constraints: 36x1 + 6x2 ³ 108
3x1 + 12x2 ³ 36
20x1 + 10x2 ³ 100
x1, x2 ³ 0
SECTION-C
Answer any TWO questions. (2×20=40 marks)
- a) From the data given below, find which series is more consistent:
X Series A Series B
FA FB
10-20 20 13
20-30 18 22
30-40 32 40
40-50 40 32
50-60 22 18
60-70 18 10
- Calculate Bowley’s coefficient of skewness for the following frequency distribution:
X: 0-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
f: 10 25 20 15 10 35 25 10 (12+8)
- a) The following data relates to the intelligence test scores and the weekly sales of 9
salesmen.
Intelligence
Test Score (X): 70 40 80 50 80 60 50 60 50
Weekly sales
(Y): 60 50 70 30 60 50 40 60 30
Obtain the regression line of Y on X and estimate Y when X = 65. (12+8)
- b) Explain the problems involved in the construction of index numbers.
- Find the seasonal indices by Ratio to Trend method:
Year I II III IV
1993 30 40 36 34
1994 34 52 50 44
1995 40 58 54 48
1996 54 76 68 62
1997 80 92 86 82
- a) Solve the following Transportation problem:
Destination
Source 1 2 3 4 Availability
1 21 16 25 13 11
2 17 18 14 23 13
3 32 27 18 41 19
Requirement: 6 10 12 15 43
- b) These are 4 jobs A, B, C,D and these are to be performed on 4 machine centres I, II,
III,IV. One job is to be allocated to a machine centre, though each machine is capable of
doing any job, at different costs given by the matrix below:
I II III IV
Find the allocation of jobs to the machine centres so that the total cost of processing
is minimum. (10+10)
Loyola College B.Com Nov 2006 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034 B.Com DEGREE EXAMINATION – COMMERCE
|
THIRD SEMESTER – NOV 2006
ST 3101 – BUSINESS STATISTICS
(Also equivalent to STA 101)
Date & Time : 08-11-2006/1.00-4.00 Dept. No. Max. : 100 Marks
SECTION-A (10 x 2 = 20)
Answer All the questions. Each question carries 2 marks.
- What are the different levels of measurements?
- Create your own example and draw histogram.
- Distinguish between symmetric and asymmetric distributions.
- When do you prefer median as compared to arithmetic mean?
- What do you understand by Kurtosis?
- Explain briefly any two properties of Regression coefficients.
- Write the normal equations for fitting Quadratic model.
- Give the meaning of “Splicing the index numbers”.
- Distinguish between slack and surplus variables.
- Define a Transportation problem.
SECTION-B (5 x 8 = 40)
Answer any 5 questions. Each question carries 8 marks.
- Draw ogive curve for the following data and locate D39 and P63.
Also, verify it using the formula.
Electricity consumption per month | 0-100 100-500 500-1000 1000-1500 1500-2000
|
No. of families | 26 148 296 185 70 |
- The wage distribution of employees working in two different IT
industries are given below:
Particulars | IT-1 | IT-2 |
No. of Employees | 800 | 550 |
Average Salary per month (in Rs.) | 16,500 | 21,300 |
Standard Deviation (in Rs.) | 1,900 | 2,600 |
- Calculate the combined mean and combined standard deviation.
- b) Which industry is consistent in wage distribution? (4+4)
- Calculate the Bowley’s coefficient of skewness for the following
data:
Processing time (in min.) | 0- 5 5-10 10-15 15-20 20-25 |
No. of Operators | 8 24 58 31 14 |
- Calculate the rank correlation coefficient for the following data:
Awarded Scores out of 20 |
|
Judge-1 | 8 14 16 19 20 10 5 7 3 14 |
Judge-2 | 6 10 18 20 20 14 4 6 4 13 |
- a) What is the purpose of constructing index numbers?
- b) Distinguish between weighted and unweighted index numbers.
- Calculate the cost of living index using the Family Budget method for the following data:
Particulars | Food | Rent | Fuel &Elect. | Education | Medical | Misc. |
Weights | 4 | 4 | 1 | 2 | 2 | 3 |
Base year expenses (in Rs.) | 2500 | 3000 | 600 | 900 | 800 | 1700 |
Current year (in Rs.) expenses | 3000 | 3250 | 700 | 950 | 700 | 2200 |
- Product A offers a profit of Rs.25/- per unit and Product B yields a profit of Rs. 40/- per unit. To manufacture the products—leather, wood and glue are required in the amount shown below:
RESOURCES REQUIRED FOR ONE UNIT |
|||
Product | Leather(in kg.) | Woods (in sq.metres) | Glue(in litres) |
A | 0.5 | 4 | 0.2 |
B | 0.25 | 7 | 0.3 |
Available resources include 2,200 kg. of leather; 28,000 square metres of wood and 1,400 litres of glue. Formulate the problem as an LPP.
- What do you mean by unbounded solution in LPP? Does
unboundedness implies no solution to the Problem? Explain in
detail.
SECTION-C (2 x 20 = 40)
Answer any 2 questions. Each question carries 20 marks.
- a) What are the scope and limitations of Statistics? (4+4)
- b) Distinguish between sample surveys and Census. Explain the
merits and demerits of both. (12)
- Consider the following data:
Year (X) | 2001 2002 2003 2004 2005 |
Profit in lakhs (Y) | 12.3 16.8 21.5 26.4 30.2 |
- Fit a regression line of Y on X
- Estimate profit for 2006
- Obtain the standard error of the estimate
- Draw the original and trend lines on the graph. (10+2+4+4)
- a) Explain in detail the major components of Time series. (8)
- b) Calculate the seasonal indices for the following data using the
ratio to moving average method:
Quarterly Cement Production ( in lakh tons) | ||||
YEAR | I | II | III | IV |
2003 | 48.3 | 62.1 | 36.1 | 41.2 |
2004 | 69.7 | 79.4 | 29.4 | 56.9 |
2005 | 84.1 | 96.3 | 59.1 | 62.8 |
(12)
- a) Solve the following LPP by Simplex method:
Max. Z = 3 X + 2 Y
S.to
X + Y ≤ 4
X – Y ≤ 2
X, Y ≥ 0 (12)
- MCS Inc. is a Software company that has three projects with the departments of health, education and housing. Based on the background and experiences of the project leaders, they differ in terms of their performance at various projects. The performance score matrix is given below:
Projects | |||
Project leaders | Health | Education | Housing |
P1 | 20 | 26 | 42 |
P2 | 24 | 32 | 50 |
P3 | 32 | 34 | 44 |
Help the management by determining the optimal assignment that
maximize the total performance score. (8)
Loyola College B.Com April 2008 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Com. DEGREE EXAMINATION – COMMERCE
|
SECOND SEMESTER – APRIL 2008
ST 2102 – BUSINESS STATISTICS
(Also Equal ST 2101/3101/3104)
Date : 25/04/2008 Dept. No. Max. : 100 Marks
Time : 1:00 – 4:00
SECTION A
Answer ALL questions. (10 x 2 =20 marks)
- State the applications of statistics.
- What are the advantages of diagrammatic presentation of data?
- An automobile driver travels 240 kms. at speed of 40 km per hr and 20 kms at a speed of 10 km per hr. Calculate the average speed.
- What do you mean by skewness?
- What is the use of a scatter diagram?
- The lines of regression of a bivariate distribution are as follows: 5X – 145 = -10Y, 14Y -208 = -8X. Find the means of X and Y.
- Define time series.
- What are the uses of index numbers?
- Define objective function in a Linear Programming Problem.
- What is simplex method?
SECTION B
Answer any FIVE questions. (5 x 8 =40 marks)
- Discuss the scope and limitations of statistics.
- Find the mode for the following data:
X | 5 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 18 | 20 |
Freq. | 4 | 6 | 5 | 10 | 20 | 22 | 23 | 6 | 2 | 1 |
- Calculate mean deviation from median and its coefficient from the following data:
Marks | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
No. of students | 4 | 6 | 10 | 20 | 10 | 6 | 4 |
- Draw less than and more than ogives for the data given below:
Value | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 | 80-90 |
Freq. | 9 | 42 | 61 | 140 | 250 | 102 | 71 | 23 | 2 |
- Calculate 5-yearly and 7-yearly moving average for the following data of a number of commercial industrial failures during 1992-2007.
Year | 1992 | ‘93 | ‘94 | ‘95 | ‘96 | ‘97 | ‘98 | ‘99 |
No. of failures | 23 | 26 | 28 | 32 | 20 | 12 | 12 | 10 |
Year | 2000 | ‘01 | ‘02 | ‘03 | ‘04 | ‘05 | ‘06 | ‘07 |
No. of failures | 9 | 13 | 11 | 14 | 12 | 9 | 3 | 1 |
- Calculate fixed base indices and chain base indices with 2000 as the base for the following data:
Average wholesale prices (Rs.) | |||||
Commodities | 2000 | 2001 | 2002 | 2003 | 2004 |
A | 20 | 25 | 30 | 45 | 63 |
B | 30 | 36 | 45 | 63 | 126 |
C | 40 | 34 | 51 | 102 | 51 |
- Calculate Karl Pearson’s coefficient of correlation between per capita national income(X) and per capita consumer expenditure(Y)(for 10 consecutive years) from the data given below:
X | 249 | 251 | 248 | 252 | 258 | 269 | 271 | 272 | 280 | 275 |
Y | 237 | 238 | 236 | 240 | 245 | 255 | 254 | 252 | 258 | 251 |
- A company manufactures 2 models of voltage stabilizers A and B. All components of the stabilizers are purchased from outside and only assembling and testing is carried out at the company. The assembly and testing time required for the two models are 0.8 hours each for A and 1.2 hours for B. manufacturing capacity of 720 hours at present is available per week.
The market for the 2 models has been surveyed which suggests maximum weekly sales of 600 units of A and 400 units of B. Profit per unit for A and B models has been estimated at Rs.100 and Rs.150 respectively. Find the optimum product mix using graphical method.
SECTION C
Answer any TWO questions. (2 x 20 =40 marks)
- The following table gives the profits (Rs.’000s) of two companies for the last 10 years. Which of the two companies has greater consistency in profits?
Profit of Co.X | 700 | 625 | 725 | 625 | 650 | 700 | 650 | 700 | 600 | 650 |
Profit of Co.Y | 550 | 600 | 575 | 550 | 650 | 600 | 550 | 525 | 625 | 600 |
- Price index of cotton and wool are given below for the 12 months of a year. Obtain both the lines of regression, Also find the correlation coefficient.
Index of cotton | 78 | 77 | 85 | 88 | 87 | 82 | 81 | 77 | 76 | 83 | 97 | 93 |
Index of wool | 84 | 82 | 82 | 85 | 89 | 90 | 88 | 92 | 93 | 89 | 98 | 99 |
- Calculate seasonal variations given the average quarterly price of a commodity for 5 years by ratio to trend method.
Year | I Quarter | II Quarter | III Quarter | IV Quarter |
2001 | 28 | 22 | 22 | 28 |
2002 | 35 | 28 | 25 | 36 |
2003 | 33 | 34 | 30 | 35 |
2004 | 31 | 31 | 27 | 35 |
2005 | 37 | 36 | 31 | 36 |
- (i) There are three sources A, B, C which store a given product. These sources supply these products to four dealers D, E, F, G. The cost (Rs.) of transporting the products from various sources to various dealers, the capacities of the sources and the demands of the dealers are given below.
D | E | F | G | Supply | |
A | 6 | 8 | 8 | 5 | 30 |
B | 5 | 11 | 9 | 7 | 40 |
C | 8 | 9 | 7 | 13 | 50 |
Demand | 35 | 28 | 32 | 25 | 120 |
Find out the solution for transporting the products at a minimum cost by using Vogel’s Approximation Method.
(ii) Determine the least cost allocation of the available machines M1, M2, M3, M4 and M5, to 5 jobs A, B, C, D and E.
A | B | C | D | E | |
M1 | 25 | 29 | 31 | 42 | 37 |
M2 | 22 | 19 | 35 | 18 | 26 |
M3 | 39 | 38 | 26 | 20 | 33 |
M4 | 34 | 27 | 28 | 40 | 32 |
M5 | 24 | 42 | 36 | 23 | 45 |
Loyola College B.Com April 2009 Business Statistics Question Paper PDF Download
LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
|
B.COM. DEGREE EXAMINATION – COMMERCE
SECOND SEMESTER – April 2009
ST 2102 / 2101 / 3104 / 3101 – BUSINESS STATISTICS
Date & Time: 25/04/2009 / 1:00 – 4:00 Dept. No. Max. : 100 Marks
SECTION – A
Answer ALL the questions. (10 x 2 = 20)
- Clarify the difference between exclusive and inclusive class interval.
- What are the advantages of diagrammatic representation of the data?
- For what type of values harmonic mean is suitable?
- How will you calculate median in case of ungrouped data?
- What is a scatter diagram?
- Define correlation.
- Define regression.
- What are the important properties of regression coefficient?
- Define index number.
- Define time series and write its components.
SECTION – B
Answer any FIVE questions. ( 5 x 8 = 40)
- Draw the histogram, frequency curve and frequency polygon for the following data.
Weekly wages( in Rs.) | No. of workers |
10 – 15 | 7 |
15 – 20 | 19 |
20 – 25 | 27 |
25 – 30 | 15 |
30 – 35 | 12 |
35 – 40 | 12 |
40 – 45 | 10 |
45 – 50 | 8 |
- The average score of girls in class X examination in a school is 67 and that of boys is 63. The average score for the whole class is 64.5, find the percentage of girls and boys in the class.
- The following are the run scored by two batsman A and B in ten innings.
A | 101 | 27 | 0 | 36 | 82 | 45 | 7 | 13 | 65 | 14 |
B | 97 | 12 | 40 | 96 | 13 | 8 | 85 | 8 | 56 | 15 |
Who is more consistent?
- Calculate the Karl Pearson’s coefficient correlation between the marks in English and Hindi obtained by 10 students.
Marks in English | 10 | 25 | 13 | 25 | 22 | 11 | 12 | 25 | 21 | 20 |
Marks in Hindi | 12 | 22 | 16 | 15 | 18 | 18. | 17 | 23 | 24 | 17 |
- Construct a 4 – year centered moving average from the following data.
Year | 1940 | 1950 | 1960 | 1970 | 1980 | 1990 | 2000 |
Imported cotton consumption
(in India ‘000 bales) |
129 | 131 | 106 | 91 | 95 | 84 | 93 |
- Compute Laspeyre’s, Paasche’s, Fisher’s and Kelly’s Price index numbers for 2005 for the following data.
Commodity | 2000 | 2005 | ||
Price Rs. | Quantity | Price | Quantity | |
A
B C |
15
20 4 |
15
5 10 |
22
27 7 |
12
4 5 |
- Explain the components of time series.
- Find the minimum value of
z = – x1 + x2
subject to the constraints
– x1 + 3 x2 ≤ 10
x1 + x2 ≤ 6
x1 – x2 ≤ 10
x1 , x2 ≥ 0.
SECTION –C
Answer any TWO questions. ( 2 x 20 =40)
- Find the median, lower quartile, 7th decile and 85th percentile of the frequency distribution given below.
Marks in statistics | Below 10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | Above70 |
No. of students | 8 | 12 | 20 | 32 | 30 | 28 | 12 | 4 |
20 a). Ten competitors in a beauty contest are ranked by three judges in the following orders:
1st Judge | 1 | 6 | 5 | 10 | 3 | 2 | 4 | 9 | 7 | 8 |
2nd Judge | 3 | 5 | 8 | 4 | 7 | 10 | 2 | 1 | 6 | 9 |
3rd Judge | 6 | 4 | 9 | 8 | 1 | 2 | 3 | 10 | 5 | 7 |
Use the correlation coefficient to determine which pair of judges has the nearest approach to common
taste in beauty.
b). From the following data, obtain two regression equations:
Sales | 91 | 97 | 108 | 121 | 67 | 124 | 51 | 73 | 111 | 57 |
Purchases | 71 | 75 | 69 | 97 | 70 | 91 | 39 | 61 | 80 | 47 |
21). Find the seasonal variations by Ratio Trend method from the data given below.
Year | 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter |
1987 | 34 | 54 | 38 | 38 |
1988 | 36 | 60 | 52 | 48 |
1989 | 40 | 58 | 56 | 52 |
1990 | 52 | 76 | 64 | 58 |
1991 | 70 | 90 | 88 | 84 |
22). Obtain an initial basic feasible solution to the following transportation problem by
(i). North-west corner rule (ii) Least cost method
(iii). Vogel’s approximation methods.
Destination/
origin |
D | E | F | G | Availability
|
A | 11 | 13 | 17 | 14 | 250 |
B | 16 | 18 | 14 | 10 | 300 |
C | 21 | 24 | 13 | 10 | 400 |
Requirement | 200 | 225 | 275 | 250 |