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Monday, October 14, 2013

Business Statistics-II BBA Second Year Third Semester Examination 2012



BBA SECOND YEAR THIRD SEMESTER EXAMINATION, 2012
—––—–
BUSINESS STATISTICS-II
SUBJECT CODE: 2105
Time—3 hours
Full marks—70
[N.B.The figures in the right margin indicate full marks. Different parts of each question must be answered sequentially.]
Part AShort Questions
(Answer any five questions)
Marks—6×5=30
                                                                                                          
1.   Define sample and sampling. Briefly discuss the advantages and                                                 
      Disadvantages of sampling over population coverage.
2.   Define with examples: —                                                                                                            
      (i) Population & sample;
      (ii) Dependent & independent event.

3.    Define sampling and non-sampling errors. What are their sources? How                                
       These errors can be controlled?
4.    (a) What is Bernoulli trial? Write down the distribution in which mean                                 
      And variance will be same.
       (b) What is the relation among binominal, poison and normal distribution?                              
5.   (a) What is student’s distribution? Under what circumstances t-test is                                        
      Applicable.
       (b) Write down the properties of discrete probability function with proof                         
6.    What is standard normal variety? Write down the characteristics                       
      of standard normal variety.
7.   SH company estimates the net profit. On a new product it is launching to be          
      Tk. 30,00,000 during the first year if it is successful, Tk. 10,00,000 if it
      is moderately successful, and a loss of Tk. 10,00,000 if it is unsuccessful.
               the expected value and standard deviation of first year net profit for the product is moderately successful, and a loss of Tk. 10,00,000 if it is unsuccessful. The firm assigns the following probabilities to first year prospects for the product. Successful : 0.15, moderately successful : 0.25 and unsuccessful : 0.60. What are?
PartB Broad Questions
(Answer any five questions)
Marks—10×4=40
                                                                                                    
8. (a) Write down the importance of normal distribution.                                   
    (b) Ten percent of new automobiles require warranty service within the first                     
          Year Hero Honda Sells 12 automobiles in January. What is the probability that—
(i)                None of these automobiles requires warranty service?
(ii)             Exactly two automobiles require warranty service.
(iii)           Compute the mean and standard deviation of this probability distribution.
9.  (a) A workshop produces 2000 units per day. The average weight of units is                     
     13kg with a standard deviation of 10kg. How many units are expected to weight less than 142kg?
    (b) Recent crime reports indicate that 3.1 motor vehicle thefts occur each minute 
     in the Dhaka City. Assume that the distribution of thefts per minute can be approximated by the poison distribution. What is the probability that—
(i)                Exactly four thefts occur in a minute.
(ii)             There is at least one theft in a minute.
10. (a) Write down the importance of sampling distribution.                                                   
      (b) The estimate of the population proportion is to be within plus or minus                        
       0.05, with a 95% level of confidence. The best estimate of the population proportion is 0.15. How large a sample is required?                                                                               
      (c)     A manufacturer of watches has determined from experience that 3%                       
          of the watches he produces are defective. If a random sample of 300 watches is examined. What is the probability that the proportion defective is between 0.02 and 0.35?
11. (a) Define simple probability and conditional probability.                                     
      (b) A market survey conduct in four cities pertained to preference for brand                  
           A soap. The responses are shown below :

Brand-A
Dhaka
Rajshahi
Chittagong
Khulna
Total
45
55
60
50
210
Not Brand-A
35
45
35
45
160
No opinion
5
5
5
5
20
Total
85
105
100
100
390
           







(i)                What is the probability that a consumer selected at random preferred brand A?
(ii)             What is the probability that a consumer preferred brand A and was from Chittagong?
(iii)           What is the probability that a consumer preferred brand A given that he was from Chittagong?
(iv)            Given that a consumer preferred brand A. What is the probability that was he from Khulna?
12. (a) What are the main characteristics of normal distribution?                                           
      (b) As a result of tests on 20,000 electric fans manufactured by a company,                         
it was found that lifetime of the fans was normally distributed with an average life of 2040 hours and standard deviation of 60 hours. On the basis of the information, estimate the number of fans that is expected to run for (a) more than 2150 hours and (b) less than 1960 hours.
13. (a) Two sources of raw materials are under consideration by a company.                                 
Both sources seem to have similar characteristics but the company is not sure about their respective uniformity. A sample of 10 lots from source A yields a variance of 225 and a sample of 11 lots from source B yields a variance of 200. Is it likely that the variance of source A is significantly greater than the variance of source B at α = 0.01?
(b) Ten persons were appointed in an officer cadre in an office. Their performance was noted by giving a test and the marks were recorded out of 100. They were given 4 months training and a test held and marks were recorded out 100.                         
Employee
A
B
C
D
E
F
G
H
I
J
Before training
80
76
92
60
70
56
74
56
70
56
After training
84
70
96
80
70
52
84
72
72
50

By applying the t-test, can it be concluded that the employees have benefited by the training?

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