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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.
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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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