Test: Theoretical Distributions- 3 - CA Foundation MCQ
30 Questions MCQ Test Quantitative Aptitude for CA Foundation - Test: Theoretical Distributions- 3
Q. The number of accidents in a year attributed to taxi drivers in a locality follows Poisson distribution with an average 2. Out of 500 taxi drivers of that area, what is the number of drivers with at least 3 accidents in a year?
In a sample of 800 students, the mean weight and standard deviation of weight are found to be 50 Kg and 20 Kg respectively. On the assumption of normality, what is the number of students weighing between 46 Kg and 62 Kg? Given area of the standard normal curve between 
= 0 to 
= 0.20 = 0.0793 and area between
= 0 to
= 0.60 = 0.2257.
= 0 to = 0.20 = 0.0793 and area between = 0 to = 0.60 = 0.2257.| 1 Crore+ students have signed up on EduRev. Have you? Download the App |
The salary of workers of a factory is known to follow normal distribution with an average salary of Rs. 10,000 and standard deviation of salary as Rs. 2,000. If 50 workers receive salary more than Rs. 14,000, then the total no. of workers in the factory is
For a normal distribution with mean as 500 and SD as 120, what is the value of k so that the interval [500, k] covers 40.32 per cent area of the normal curve? Given 
(1.30) = 0.9032.
The average weekly food expenditure of a group of families has a normal distribution with mean Rs. 1,800 and standard deviation Rs. 300. What is the probability that out of 5 families belonging to this group, at least one family has weekly food expenditure in excess of Rs. 1,800? Given 
(1) = 0.84.
If the weekly wages of 5000 workers in a factory follows normal distribution with mean and SD as Rs. 700 and Rs. 50 respectively, what is the expected number of workers with wages between Rs. 660 and Rs. 720?
50 per cent of a certain product have weight 60 Kg or more whereas 10 per cent have weight 55 Kg or less. On the assumption of normality, what is the variance of weight?Given 
(1.28) = 0.90.
When there are a fixed number of repeated trial of any experiments under identical conditions for which only one of two mutually exclusive outcomes, success or failure can result in each trial then
In Binomial Distribution ‘p’ denotes Probability of
When ‘p’ is larger than 0. 5, the binomial distribution is
When p = 0.1 the binomial distribution is skewed to the
If in Binomial distribution np = 9 and npq = 2. 25 then q is equal to
Standard deviation of binomial distribution is
_________ distribution is a limiting case of Binomial distribution
In Poisson Distribution, probability of success is very close to
In ________________ distribution, mean = variance
In Poisson distribution standard deviation is equal to
For continuous events _________________ distribution is used.
For continuous events _________________ distribution is used.
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148 videos|174 docs|99 tests
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148 videos|174 docs|99 tests
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