Business Statistics Question Paper' 2020 | B.Com 3rd Sem | Dibrugarh University

 3 SEM TDC BUST (CBCS) GE 303
2 0 2 0
(Held in April–May, 2021)
COMMERCE

(Generic Elective)
Paper: GE–303
(Business Statistics)
Full Marks: 80
Pass Marks: 32
Time: 3 hours

The figures in the margin indicate full marks for the questionsdibrugarh university b.com 3rd sem question paper cbcs

1. Answer any eight questions: 2x8=16

  1. Calculate AM from the following data: 10, 20, 15, 18, 30.

  2. Define mutually exclusive events. 

  3. What are the probabilities of an impossible event and a certain event?

  4. Mention the two properties of correlation coefficient. 

  5. If the correlation coefficient between two variablesandisand, then find the value of

  6. Define price index number and quantity index number. 

  7. What do you mean by cost of living index number?

  8. Write the main objectives of time series analysis. 

  9. What do you mean by seasonal variations in time series analysis?

  10. Define parameter. 

  11. In what situations stratified sampling is used to draw a sample from a population?

2. (a) (1) Prove that for any two non-zero numbers. 3

(2) Find standard deviation and coefficient for variation from the following series: 6

Class Interval: 

5 – 15

15 – 25

25 – 35

35 – 45

45 – 55

Frequency: 

8

12

15

9

6

Or

(b) (1) Why is standard deviation considered to be the best measures of dispersion? 3

(2) Calculate median from the following distribution: 6

Marks: 

0 -10

10 – 20

20 – 30

30 – 40

40 – 50

50 – 60

No. of Students: 

4

6

10

15

12

6

3. (a) (1) Two coins are tossed simultaneously. Find the probability of getting same face on both the coins. 3

(2) A problem is given to three students A, B and C. The probability of solving the problem by A, B and C are 1/2, 1/3 and 1/4 respectively. Find the probability that the problem will be solved. 5

(3) A random variable X has the following probability distribution:

:

1

2

3

4

5

6

7

Find the value ofand. 3+2=5

Or

(b) (1) Find the probability that a leap year selected at random will contain 53 Sundays. 3

(2) A random variable X has the following probability distribution: 

:

1

4

7

:

1/4

1/2

1/4

Find. 3

(3) A binomial variable X has mean 6 and variance 4. Find the probability distribution of X.       3

(4) A normal variate X has a mean 50 and standard deviation 5. Find the probability that X lies between 40 and 60. 4

4. (a) (1) Prove that coefficient of correlation is the geometric mean of the two regression coefficients.         3

(2) If the two regression equations areand, what should be the means ofand?    4

(3) Find the correlation coefficient from the data given below: 6

:

105

120

95

150

130

:

100

115

110

135

115

Or

(b) (1) What is meant by correlation? Distinguish between positive, negative and zero correlations. 3

(2) Calculate the coefficient of rank correlation from the data given below: 5

92

89

86

87

83

71

77

63

53

50

86

83

77

91

68

52

85

82

57

57

(3) Derive the regression line of X and Y from the following data: 5

5. (a) (1) What are NSE SENSEX and NSE NIFTY? 3

(2) From the data given below, prove that Fisher index number satisfies time reversal test: 5

Items

A

4

20

6

10

B

3

15

5

23

C

2

25

3

15

D

5

10

4

40

(3) The following table gives the index number of different groups of items with their respective weights for 2020 (base year 2010): 

Group

Group Index No. 

Weight

Food

525

40

Closing

325

16

Fuel

240

15

Rent 

180

20

Others

200

9

Calculate the overall cost of living index number and interpret the results. 4+1=5

Or

(b) (1) Write the three uses of cost of living index number. 3

(2) Prove that Fisher index number satisfies time reversal test and factor reversal test. 5

(3) Find the price index number from the following data using Paasche and Laspeyres index: 5


Base Year

Current Year

Item

Price 

Quantity

Price 

Quantity

A

6

50

6

72

B

7

84

10

80

C

10

80

12

96

D

4

20

5

30

6. (a) (1) Write the two models used for studying time series analysis. 3

(2) From the data given below, find the straight line trend by using the method of least squares: 

Year: 

1968

1969

1970

1971

1972

1973

1974

1975

1976

Value: 

80

90

92

83

94

99

92

110

100

Also estimate the value for the year 1980. 8

Or

(b) (1) What are the components of time series? Discuss any one of them. 2+3=5

(2) Calculate the seasonal index for the following data by using the method of simple average (assuming that the trend is absent): 6

Year

1991

72

68

80

70

1992

76

70

82

74

1993

74

66

84

80

1994

76

74

84

78

1995

78

74

86

82

7. (a) What is simple random sampling? Explain lottery method used to draw a simple random sample from a population. 5

Or

(b) What do you mean by the standard error of a statistic? A random sample of size 100 has mean 15, the population variance is 25. Find the interval estimate of the population mean with confidence level of (1) 99% and (2) 95%.   2+3=5

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