Test: Sampling Theory - 5


40 Questions MCQ Test Quantitative Aptitude for CA CPT | Test: Sampling Theory - 5


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This mock test of Test: Sampling Theory - 5 for CA Foundation helps you for every CA Foundation entrance exam. This contains 40 Multiple Choice Questions for CA Foundation Test: Sampling Theory - 5 (mcq) to study with solutions a complete question bank. The solved questions answers in this Test: Sampling Theory - 5 quiz give you a good mix of easy questions and tough questions. CA Foundation students definitely take this Test: Sampling Theory - 5 exercise for a better result in the exam. You can find other Test: Sampling Theory - 5 extra questions, long questions & short questions for CA Foundation on EduRev as well by searching above.
QUESTION: 1

The method of sampling in which each unit of the population has an equal chance of being selected in the sample is

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QUESTION: 2

 The hypothesis which is tested for possible rejection under the assumption that it is true is known as

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QUESTION: 3

 The statistic T is said to be a consistent estimator of the population parameter Q if 

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QUESTION: 4

 The sampling is said to be large sampling if the size of the sample is 

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QUESTION: 5

 In na factory there are 48 employees with employee code from 1 to 48 the employer desires to take the sample of every sixth employeee under thge systematic sampling techique, the sample size will be

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QUESTION: 6

Sampling is a tool which helps to know the characteristics of the  _______ by examining only a small part of it. 

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QUESTION: 7

 Standard Deviation of a Sampling Distribution is called ________. 

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QUESTION: 8

If the Standard Error is 1/2, and the parameter of Normal population given to be S.D = 4 then , find the sample size?

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QUESTION: 9

 Type II Errors are made while we accept a null hypothesis which is ___. 

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QUESTION: 10

 In order to test the quality of chalks, the best suitable method will be ____. 

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QUESTION: 11

The standard deviation of the sampling distribution of a statistical distribution is a 

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QUESTION: 12

If every 9th unit is selected from universal set then this type of sampling is known as:

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QUESTION: 13

Distribution formed of all possible value of statistics is called_________.

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QUESTION: 14

In sampling, standard deviations are known as: 

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QUESTION: 15

 For an unbiased estimator which of these is not an absolute condition. 

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QUESTION: 16

When every member in population has an equal chance of being selection, then that sampling is called_________

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QUESTION: 17

The sample mean is: 

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QUESTION: 18

 For any unknown parameter, how many interval estimates exist?

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QUESTION: 19

The hypothesis which is tested for possible rejection under assumption that is known is:

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QUESTION: 20

If it is known that the 95% L.C.L and U.C.L to population mean are 48.04 and 51.96 respectively, what is the value of the population variance when the sample size is 100?

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QUESTION: 21

 Except sampling error, other errors in sampling are: 

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QUESTION: 22

If a random sample of 500 mangoes produces 25 rotten mangoes, then the estimate of S.E of the proportion of rotten mangoes in the sample is:

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QUESTION: 23

 Which sampling adds flexibility to the sampling process?

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QUESTION: 24

A simple random sample of size 66 was drawn in the process of estimating the mean annual income of 950 families of a certain township. The mean and standard deviation of the samples were found to be Rs. 4730 and Rs. 7.65 respectively. Find a 95% confidence interval for the population mean:

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QUESTION: 25

 In sampling, standard error is: 

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QUESTION: 26

A population comprises of 20 members. The number of all possible samples if size 2 that can be drawn from it without replacement. 

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QUESTION: 27

When we have an idea that the error might be involved, we use:

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QUESTION: 28

In determining the sample size for estimating a population mean, the number of factors must be known is: 

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QUESTION: 29

A sample of size 3 is taken from a population of 10 members with replacement. If the sample observations are 1,3 and 5 what is the estimate of the standard error of sample mean?

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QUESTION: 30

Which sampling provides separate estimates for population means for different purposes and also an over all estimate?

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QUESTION: 31

A simple random sample of size 10 is drawn without replacement from a universe containing 85 units. If the mean 90 and S.D. 4 is obtained from the sample, what is the estimate of the standard error of sample mean?

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QUESTION: 32

 For a given sample of 200 items drawn from a large population, the mean is 65 and the standard deviation is 8. Find the 95% confidence limits for the population mean: 

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QUESTION: 33

Sampling fluctuations may be described as: 

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QUESTION: 34

 A random sample of 100 items taken from a large batch of articles contains 5 defective items. Set up 96 per cent confidence limits for the proportion of defective items in the batch: 

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QUESTION: 35

A unbiased estimator:

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QUESTION: 36

If the population S.D. is known to be 5 for a population containing 80 units, then the standard error of sample mean for a sample of size 25 without replacement is:

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QUESTION: 37

 The permissible sampling error is required to determine sample size for:

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QUESTION: 38

The criteria for an ideal estimator are: 

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QUESTION: 39

In a marketing survey for the introduction of a new product in a town, a sample of 400 persons was drawn. When they were approached for sale, 80  of them purchased the product,. Find 95% confidence limits for the percentage of persons who would buy the product in the town:

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QUESTION: 40

A random sample of size 17 has 52 as mean. The variance is 160. The 99% confidence for the mean are:

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