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Tamil Nadu Board of Secondary EducationHSC Commerce Class 12

HSC Commerce Class 12 - Tamil Nadu Board of Secondary Education Question Bank Solutions for Business Mathematics and Statistics

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Business Mathematics and Statistics
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It is given that 5% of the electric bulbs manufactured by a company are defective. Using poisson distribution find the probability that a sample of 120 bulbs will contain no defective bulb

[7] Probability Distributions
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A car hiring firm has two cars. The demand for cars on each day is distributed as a Poison variate, with mean 1.5. Calculate the proportion of days on which neither car is used

[7] Probability Distributions
Chapter: [7] Probability Distributions
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A car hiring firm has two cars. The demand for cars on each day is distributed as a Posison variate, with mean 1.5. Calculate the proportion of days on which some demand is refused

[7] Probability Distributions
Chapter: [7] Probability Distributions
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The average number of phone calls per minute into the switchboard of a company between 10.00 am and 2.30 pm is 2.5. Find the probability that during one particular minute there will be no phone at all

[7] Probability Distributions
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The average number of phone calls per minute into the switchboard of a company between 10.00 am and 2.30 pm is 2.5. Find the probability that during one particular minute there will be exactly 3 calls

[7] Probability Distributions
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The average number of phone calls per minute into the switchboard of a company between 10.00 am and 2.30 pm is 2.5. Find the probability that during one particular minute there will be atleast 5 calls

[7] Probability Distributions
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The distribution of the number of road accidents per day in a city is poisson with mean 4. Find the number of days out of 100 days when there will be no accident

[7] Probability Distributions
Chapter: [7] Probability Distributions
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The distribution of the number of road accidents per day in a city is poisson with mean 4. Find the number of days out of 100 days when there will be atleast 2 accidents 

[7] Probability Distributions
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The distribution of the number of road accidents per day in a city is poisson with mean 4. Find the number of days out of 100 days when there will be at most 3 accidents

[7] Probability Distributions
Chapter: [7] Probability Distributions
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Assuming that a fatal accident in a factory during the year is 1/1200, calculate the probability that in a factory employing 300 workers there will be at least two fatal accidents in a year, (given e-0.25 = 0.7788).

[7] Probability Distributions
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The average number of customers, who appear in a counter of a certain bank per minute is two. Find the probability that during a given minute no customer appears

[7] Probability Distributions
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The average number of customers, who appear in a counter of a certain bank per minute is two. Find the probability that during a given minute three or more customers appear

[7] Probability Distributions
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Define Normal distribution

[7] Probability Distributions
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Define Standard normal variate

[7] Probability Distributions
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Write down the conditions in which the Normal distribution is a limiting case of binomial distribution

[7] Probability Distributions
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Write down any five chief characteristics of Normal probability curve

[7] Probability Distributions
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In a test on 2,000 electric bulbs, it was found that bulbs of a particular make, was normally distributed with an average life of 2,040 hours and standard deviation of 60 hours. Estimate the number of bulbs likely to burn for more than 2,150 hours

[7] Probability Distributions
Chapter: [7] Probability Distributions
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In a test on 2,000 electric bulbs, it was found that bulbs of a particular make, was normally distributed with an average life of 2,040 hours and standard deviation of 60 hours. Estimate the number of bulbs likely to burn for less than 1,950 hours

[7] Probability Distributions
Chapter: [7] Probability Distributions
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In a test on 2,000 electric bulbs, it was found that bulbs of a particular make, was normally distributed with an average life of 2,040 hours and standard deviation of 60 hours. Estimate the number of bulbs likely to burn for more 1,920 hours but less than 2,100 hours

[7] Probability Distributions
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In a distribution 30% of the items are under 50 and 10% are over 86. Find the mean and standard deviation of the distribution

[7] Probability Distributions
Chapter: [7] Probability Distributions
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