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I Semester M.B.A. Examination, February 2019
(CBCS Scheme)
Management
Paper - 1.4: STATISTICS FOR MANAGEMENT
Time: 3 Hours
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Max. Marks: 70
Instructions: 1) Calculators and appropriate statistical tables are allowed.
2) Provide the graph sheet.
SECTION -A
Answer any five questions. Each question carries five marks. (5×5=25)
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- Explain the importance of statistics in management.
- Write short notes on:
- Null hypothesis
- Alternative hypothesis
- Type I and Type II error.
- A bag contains 5 white and 6 red marbles. Another bag contains 4 white and 7 red marbles. Two marbles are drawn from the selected bag. What is the probability that selected bag contains (a) white marbles (b) one white and one red marble.
- Fit a linear trend for the following data and forecast for the next two years (A graph is necessary).
Year Sale of sugar '000 kgs 2012 80 2013 90 2014 92 2015 94 2016 96 2017 98 - Derive Chi-square statistic by stating suitable null and alternative hypothesis. Use 1% level of significance.
The data given below is regarding infavour of against and indifferent to a National Policy on FDI.Occupation Favour of Against Indifferent Social workers 80 30 10 Lawyers 70 60 20 University students 60 60 40 - Calculate Karl Pearson's and Bowley's coefficient of skewness for the marks obtained by students of 2 institutions.
Measure Institution A Institution B Mean 65 70 Standard deviation 10 14 Middle quartile 65 64 Third quartile 87 102 First quartile 28 35 - The average height of 1000 students are normally distributed. Its mean is 72 inches and standard deviation is 2 feet. Find
- The number of students whose height is more than 68 inches.
- The number of students whose height will be between 5.5 feet and 6.25 feet.
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SECTION -B
Answer any three questions. Each question carries 10 marks.
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(3x10=30)
- What is non parametric test ? Explain the different types of test used in the statistical analysis.
- Calculate the ideal index and test for the time reversal and factor reversal test for the following data.
Commodity 2017 2018 Price Expenditure Price Expenditure A 30 1350 22 990 B 32 1344 24 840 C 30 1200 25 1200 D 35 2100 27 1161 E 36 900 28 1036 - An investment company speculates about the relationship between family incomes and their allocation for investments. A survey of 8 randomly selected families gives the following data.
Annual income in '000 Rs. Percent allocation for investment 18 28 21 36 19 32 34 40 23 35 30 55 36 60 39 70 - Develop the regression equations to describe the data.
- What could be the percentage of income allocated to investment by a family earnings Rs. 27,500 per annum ?
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- A businessman from Delhi wishes to sell his products in Bangalore. He can set up a showroom in the city or can sell through a wholesaler. Setting up a showroom will entail cost of Rs. 7,25,000 with a 65% probability of success. If the showroom succeeds, he can get a net profit of Rs. 12,25,000 per year. If it fails, he can either shutdown the showroom or rent it out for an annual rent of Rs. 4,25,000 (for rest of the year). The probability that he gets rent for the showroom is 45%.
If he sells through a wholeseller, he incurs Rs. 3,25,000 initial costs. The chances of selling successfully are 48% with a net profit of Rs. 6,20,000 per year.- Advise the businessman on the best decision.
- How is the decision tree analysis useful in business decision?
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SECTION - C
12. Compulsory : (1x15=15)
A manufacturer of perfumes wishes to launch a new perfume in 4 different fragrances. Test marketing in 5 different cities has given the following data. Is there a significant difference in the sales figures of the various fragrances ?
Lavender | Rose | Lily | Daisy | |
---|---|---|---|---|
City A | 80 | 100 | 95 | 70 |
City B | 82 | 110 | 90 | 75 |
City C | 88 | 105 | 100 | 82 |
City D | 85 | 115 | 105 | 88 |
City E | 75 | 90 | 80 | 65 |
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