Test: Sampling Theory - 2 - CA Foundation


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40 Questions MCQ Test Business Mathematics and Logical Reasoning & Statistics - Test: Sampling Theory - 2

Test: Sampling Theory - 2 for CA Foundation 2023 is part of Business Mathematics and Logical Reasoning & Statistics preparation. The Test: Sampling Theory - 2 questions and answers have been prepared according to the CA Foundation exam syllabus.The Test: Sampling Theory - 2 MCQs are made for CA Foundation 2023 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Sampling Theory - 2 below.
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Test: Sampling Theory - 2 - 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? 

Test: Sampling Theory - 2 - 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?

Test: Sampling Theory - 2 - Question 3

Statistical data may be collected by complete enumeration called

Test: Sampling Theory - 2 - Question 4

Statistical data may be collected by partial enumeration called

Test: Sampling Theory - 2 - Question 5

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

Test: Sampling Theory - 2 - Question 6

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

Test: Sampling Theory - 2 - Question 7

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

Test: Sampling Theory - 2 - Question 8

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

Test: Sampling Theory - 2 - Question 9

Two basic Statistical laws concerning a population are

Test: Sampling Theory - 2 - Question 10

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

Test: Sampling Theory - 2 - Question 11

Sampling is the process of obtaining a

Test: Sampling Theory - 2 - Question 12

By using sampling methods we have

Test: Sampling Theory - 2 - Question 13

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

Test: Sampling Theory - 2 - Question 14

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

Test: Sampling Theory - 2 - Question 15

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

Test: Sampling Theory - 2 - Question 16

A statistic is a ——————— variable.

Test: Sampling Theory - 2 - Question 17

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

Test: Sampling Theory - 2 - 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.

Test: Sampling Theory - 2 - Question 19

Sampling distribution is a frequency distribution.

Test: Sampling Theory - 2 - Question 20

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

Test: Sampling Theory - 2 - Question 21

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

Test: Sampling Theory - 2 - Question 22

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

Test: Sampling Theory - 2 - Question 23

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

Test: Sampling Theory - 2 - Question 24

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

Test: Sampling Theory - 2 - Question 25

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

Test: Sampling Theory - 2 - Question 26

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

Test: Sampling Theory - 2 - Question 27

To estimate an unknown population parameter

Test: Sampling Theory - 2 - Question 28

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

Test: Sampling Theory - 2 - Question 29

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

Test: Sampling Theory - 2 - Question 30

A —————— estimate is a single number.

Test: Sampling Theory - 2 - Question 31

A range of values is

Test: Sampling Theory - 2 - Question 32

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

Test: Sampling Theory - 2 - Question 33

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

Test: Sampling Theory - 2 - Question 34

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

Test: Sampling Theory - 2 - Question 35

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

Test: Sampling Theory - 2 - Question 36

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

Test: Sampling Theory - 2 - Question 37

Finite population multiplier is

Test: Sampling Theory - 2 - Question 38

Sampling fraction is

Test: Sampling Theory - 2 - 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

Test: Sampling Theory - 2 - Question 40

The finite population multiplier is ignored when the sampling fraction is

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