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This mock test of Test: Sampling Theory - 4 for CA Foundation helps you for every CA Foundation entrance exam.
This contains 40 Multiple Choice Questions for CA Foundation Test: Sampling Theory - 4 (mcq) to study with solutions a complete question bank.
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QUESTION: 1

Sampling error increases with an increase in the size of the sample

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QUESTION: 2

Standard deviation of a sampling distribution is it self the standard error.

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QUESTION: 3

The magnitude of standard error increase both by absolute and relative size of the sample.

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QUESTION: 4

In stratified sampling, the sampling is subdivided into several parts, called

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QUESTION: 5

The no of types of random sampling is

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QUESTION: 6

Random numbers are also called Random sampling number Rs.

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QUESTION: 7

Sample mean is an example of

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QUESTION: 8

Population mean is an example of

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QUESTION: 9

Large sample is that sample whose size is

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QUESTION: 10

Standard error of mean may be defined as the standard deviation in the sampling distribution of

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QUESTION: 11

If random sampling with replacement is applied, then the mean of sample means will be ______ the population mean

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QUESTION: 12

The sample proportion is taken as an estimate of the population proportion of defectives

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QUESTION: 13

The main object of sampling is to state the limits of accuracy of estimates base on samples

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QUESTION: 14

The sample is a selected part of the

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QUESTION: 15

The ways of selecting a sample are

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QUESTION: 16

__________ sampling is the most appropriate in cases when the population is more or less homogeneous with respect to the characteristic under study

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QUESTION: 17

Random sampling is called lottery sampling

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QUESTION: 18

___________________ sampling is absolutely free from the influence of human bias

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QUESTION: 19

The standard deviation in the sampling deviation is called

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QUESTION: 20

Standard error is used to set confidence limits for population parameter and in tests of significance

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QUESTION: 21

In _______ estimation, the estimate is given by a single quantity

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QUESTION: 22

The estimate of the parameter is stated as on interval with a specified degree of

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QUESTION: 23

The interval bounded by upper and lower limits is known as

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QUESTION: 24

Statistical hypothesis is an

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QUESTION: 25

A die was thrown 400 times and ‘six’ resulted 80 times then observed value of proportion is

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QUESTION: 26

the criteria for an ideal estimator are

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QUESTION: 27

The magnitude of standard error increases both by absolute and relative size of the sample.

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QUESTION: 28

The standard deviation of sampling distribution is known as:

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QUESTION: 29

A parameter may be defined as a characteristic of a population based on ____________ of the population

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QUESTION: 30

It is know that the 95%LCL and UCL to population mean area 48.04 and 51.96 respectively. If the sample size is 100, what will be the value of the population S.D.

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QUESTION: 31

Sample in which number of units is less than _______ is called a small sample.

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QUESTION: 32

Method used to test the human blood is called in Statistical terminology _______

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QUESTION: 33

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: 34

Which of the following is non-probability sampling method?

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QUESTION: 35

If the points of inflexion of a normal current are 6 and 14 respectively, then its standard deviation is __________

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QUESTION: 36

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

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QUESTION: 37

A sampling techiques providing separate estimates for population means for different segments and also an overall estimate is:

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QUESTION: 38

There are 75 students in a class and their average marks is 50 and standard Derivation of Marks is 5. Number of students who have secures more than 60 marks (given that area under the normal curve for z = z is 0.4772 is __________

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QUESTION: 39

A selection procedure of a sample, having no involvement of probability is known as:

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QUESTION: 40

The errors other than sampling error are termed as:

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