statistics MCQs – Page 60

Practise multiple-choice questions from statistics for competitive examinations and subject revision. Review each marked answer and report any item that may be outdated or unclear.

statistics Mcqs

1. sample linear regression 2. normal distribution 3. presentation of data 4. statistical inference 5. measures of location 6. basic statistics 7. correlation and regression 8. sampling 9. binomial and hyper geometric probability 10. index number 11. hypothesis testing 12. measures of dispersion

1181. Collection of information from complete population is called__________?
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A. Census

B. Complete enumeration

C. Survey

D. Both A & B

1182. Sampling error can reduced by __________________?
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A. Non-random sampling

B. Increasing the sample size

C. Increasing the population

D. Decreasing the sample size

1183. Non-random sampling is also called___________________?
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A. Less than sampling

B. Biased sampling

C. Representative sampling

D. Non-prob.sampling

1184. The process of selecting sample from the population is called_________________?
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A. Size

B. Sampling

C. Sampling unit

D. Sampling process

1185. Selection of s by the students to solve a paper is _________________?
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A. Random sampling

B. Prob.Sampling

C. Non-random sampling

D. Sampling with replacement

1186. Major area of statistics today is concerned with drawing of conclusions from__________?
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A. Complete study

B. Samples

C. Primary

D. Two

1187. Sampling errors are reduced by:___________________?
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A. Increasing the sample size

B. None of these

C. Increasing population s.d.

D. Decreasing the sample size

1188. The sampling error is the_____________?
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A. Same as the standard error of the mean

B. Error caused by selecting a bad sample

C. Standard deviation multiplied by the sample size

D. Difference between the value of the sample mean and the value of the population mean

1189. In statistics, a sample means__________?
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A. A portion of the population

B. All the items under investigation

C. None of the above

D. A portion of the sample

1190. Sampling error cannot occur in__________?
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A. Census

B. Sampling

C. None of these

D. Survey

1191. Determining sample size for stratum is problem of___________?
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A. Population

B. Sampling

C. Estimate

D. Allocation

1192. In Statistics, a population consists of:_____________?
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A. All People living in a country

B. All People living in the are under study

C. All subjects or objects whose characteristics are being studied

D. None of the above

1193. In w.o.r 2?x=_____________________?
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A. ?/?n?N n/N 1

B. 26/?n?N n/N 1

C. 26/?n

D. 26/?n N n/N 1

1194. A list of sampling _________ is called sampling frame?
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A. Point

B. unit

C. w.r.m

D. w.o.r

1195. A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is___________?
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A. Approximately normal because the sample size is large in comparsion to the population size

B. Approximately normal because is always approximately normally distributed

C. Normal if the population is normally distributed

D. Approximately normal because of the central limit theorem

1196. If in a sampling distribution of X the sample size is 25, what assumption must hold for the sampling distribution of X to be normal ?
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A. ?x = ?x /?n

B. Population distribution is normal

C. Population distribution is uniform

D. ?1 = ?x

1197. The standard deviation of sampling distribution of a statistics is _________________?
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A. Sampling error of statistics

B. Standard error of statistics

C. Sampling distribution of statistics

D. None of these

1198. For a population with any distribution, the form of the sampling distribution of the sample mean is_____________?
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A. Sometimes normal for large sample sizes

B. Always normal for large sample sizes

C. Always normal for all sample sizes

D. Sometimes normal for all sample sizes

1199. In probability sampling each sampling unit has some____________________?
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A. Know

B. Small

C. Unknown

D. Large

1200. A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately ?
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A. None of these alternatives is correct.

B. Normal because of the central limit theorem

C. Normal because is always approximately normally distributed

D. Normal because the sample size is small in comparison to the population size

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