Maths: Sampling Techniques and Statistical Inference: Multiple choice questions with Answers, Solution - Book back 1 mark questions and answers with solution for Exercise Problems

**Choose the correct Answer**

1. A …………. may be finite or infinite
according as the number of observations or items in it is finite or infinite.

**(a)
Population **

(b) census

(c) parameter

(d) none of these

2. A ……… of statistical individuals in a
population is called a sample.

(a) Infinite set

**(b)
finite subset **

(c) finite set

(d) entire set

3. A finite subset of statistical
individuals in a population is called ………...

**(a)
a sample **

(b) a population

(c) universe

(d) census

4. Any statistical measure computed from
sample data is known as …………...

(a) parameter measure

**(b)
statistic **

(c) infinite measure

(d) uncountable

5. A…………..is one where each item in the
universe has an equal chance of known opportunity of being selected.

(a) Parameter

**(b)
random sample **

(c) statistic

(d) entire data

6. A random sample is a sample selected
in such a way that every item in the population has an equal chance of being
included

**(a)
Harper **

(b) Fisher

(c) Karl Pearson

(d) Dr. Yates

7. Which one of the following is
probability sampling

(a) purposive sampling

(b) judgment sampling

**(c)
simple random sampling **

(d) Convenience sampling

8. In simple random sampling from a population
of units, the probability of drawing any unit at the first draw is

(a) n/N

**(b)
1/N**

(c) N/n

(d) 1

9. In …………….. the heterogeneous groups
are divided into homogeneous groups.

(a) Non-probability sample

(b) a simple random sample

**(c)
a stratified random sample **

(d) systematic random sample

10. Errors in sampling are of

**(a)
Two types **

(b) three types

(c) four types

(d) five types

11. The method of obtaining the most
likely value of the population parameter using statistic is called ……………………

**(a)
estimation **

(b) estimator

(c) biased estimate

(d) standard error.

12. An estimator is a sample statistic
used to estimate a

**(a)
population parameter **

(b) biased estimate

(c) sample size

(d) census

13. …………..is a relative property, which states
that one estimator is efficient relative to another.

**(a)
efficiency **

(b) sufficiency

(c) unbiased

(d) consistency

14. If probability P[| θ − θ |< ε] →
1µ as n → ∞′ , for any positive ε then θ is said to …………..estimator of θ .

(a) efficient

(b) sufficient

(c) unbiased

**(d)
consistent**

15. An estimator is said to be …………. if
it contains all the information in the data about the parameter it estimates.

(a) efficient

**(b)
sufficient **

(c) unbiased

(d) consistent

16. An estimate of a population
parameter given by two numbers between which the parameter would be expected to
lie is called an……………..interval estimate of the parameter.

(a)point estimate

**(b)
interval estimation **

(c) standard error

(d) confidence

17. A ________ is a statement or an
assertion about the population parameter.

**(a)
hypothesis **

(b) statistic

(c) sample

(d) census

18. Type I error is

(a) Accept H_{0} when it is true

(b) Accept H_{0} when it is
false

**(c)
Reject H _{0} when it is true **

(d) Reject H_{0} when it is
false.

19. Type II error is

**(a)
Accept H _{0} when it is wrong **

(b) Accept H0 when it is true

(c) Reject H_{0} when it is true

(d) Reject H0 when it is false

20. The standard error of sample mean is

(a)
σ /√2n

(b) σ /n

**(c)
σ /√n**

(d) s^{2}/√n

Tags : Sampling Techniques and Statistical Inference , 12th Business Maths and Statistics : Chapter 8 : Sampling Techniques and Statistical Inference

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12th Business Maths and Statistics : Chapter 8 : Sampling Techniques and Statistical Inference : Choose the correct Answer | Sampling Techniques and Statistical Inference

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