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This mock test of Test: Sampling Theory - 2 for CA Foundation helps you for every CA Foundation entrance exam.
This contains 40 Multiple Choice Questions for CA Foundation Test: Sampling Theory - 2 (mcq) to study with solutions a complete question bank.
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QUESTION: 1

(Direction 1 - 2) Answer the following question. Each question carries 2 marks.

Q. A Life Insurance Company has 1500 policies averaging Rs.2000 on lives at age 30. From experience, it is found that out of 100,000 alive at age 30, 99,000 survive at age 31. What is the lower value of the amount that the company will have to pay in insurance during the year?

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QUESTION: 2

If it is known that the 95% LCL and UCL 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: 3

Statistical data may be collected by complete enumeration called

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QUESTION: 4

Statistical data may be collected by partial enumeration called

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QUESTION: 5

The primary object of sampling is to obtain —————— information about population with ————— effort.

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QUESTION: 6

A —————— is a complete or whole set of possible measurements/data corresponding to the entire collection of units.

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QUESTION: 7

A —————— is the set of measurement/data that are actually selected in the course of an investigation/enquiry.

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QUESTION: 8

Sampling error is —————— proportional to the square root of the number of items in the sample.

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QUESTION: 9

Two basic Statistical laws concerning a population are

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QUESTION: 10

The —————— the size of the sample more reliable is the result.

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QUESTION: 11

Sampling is the process of obtaining a

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QUESTION: 12

By using sampling methods we have

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QUESTION: 13

Under —————— method selection is often based on certain predetermined criteria.

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QUESTION: 14

——————— sampling is similar to cluster sampling.

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QUESTION: 15

Value of a —————— is different for different samples.

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QUESTION: 16

A statistic is a ——————— variable.

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QUESTION: 17

The distribution of a —————— is called sampling distribution of that ——————.

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QUESTION: 18

A ——————— distribution is a theoretical distribution that expresses the functional relation between each of the distinct values of the sample statistic and the corresponding probability.

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QUESTION: 19

Sampling distribution is a frequency distribution.

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QUESTION: 20

Sampling distribution approaches ——————— distribution when the population distribution is not normal provided the sample size is sufficiently large.

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QUESTION: 21

The Standard deviation of the ————————— distribution is called standard error.

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QUESTION: 22

The difference of the actual value and the expected value using a model is

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QUESTION: 23

The measure of divergence is ——————— as the size of the sample approaches that of the population.

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QUESTION: 24

The distribution of sample —————— being normally or approximately normally distributed about the population.

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QUESTION: 25

The standard error of the —————— is the standard deviation of sample means.

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QUESTION: 26

There are ————— types of estimates about a population parameter.

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QUESTION: 27

To estimate an unknown population parameter

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QUESTION: 28

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

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QUESTION: 29

The estimate which is used in making estimation of a population parameter is

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QUESTION: 30

A —————— estimate is a single number.

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QUESTION: 31

A range of values is

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QUESTION: 32

If we do not have any knowledge of population variance, then we have to estimate it from the

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QUESTION: 33

The sample standard deviation may be a good estimate for population standard deviation in case of ——————— samples.

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QUESTION: 34

The sample standard deviation is a biased estimator of population standard deviation in case of —————— samples.

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QUESTION: 35

If the expected value of the estimator is the value of the parameter of estimation then a good estimator shall be

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QUESTION: 36

The difference between sample S.D and the estimate of population S.D is negligible if the sample size is

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QUESTION: 37

Finite population multiplier is

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QUESTION: 38

Sampling fraction is

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QUESTION: 39

The standard error of the mean for finite population is very close to the standard error of the mean for infinite population when the sampling fraction is

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QUESTION: 40

The finite population multiplier is ignored when the sampling fraction is

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