1152. Statistics tests the law of ____________?
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A. physics

B. Literary subjects

C. Business

D. Other sciences
1154. Eyes color of employees is the example of____________?
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A. Constant variable

B. Discrete variable

C. Attribute

D. Continuous variable

1155. Which of the following is not based on all the observations ?
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A. Weighted Mean

B. Mode

C. Arithmetic Mean

D. Harmonic Mean

E. Geometric Mean

1156. Variance is always calculated from___________?
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A. Geometric Mean

B. Mean

C. Mode

D. Variance

E. Median

1158. In natural Sciences, statistics____________.
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A. Has no role

B. Plays an Important role

C. Study

D. Average

1160. In statistics, a sample means__________?
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A. A portion of the population

B. None of the above

C. All the items under investigation

D. A portion of the sample

1161. Statistical Laws are valid in the ________________?
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A. Plural sense

B. indefinite

C. Short run

D. Long run
1162. Correlation coefficient is__________?
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A. Absolute measure

B. Relative measure

C. Both a and b

D. None of the above

1163. In regression the sign of (Bs) and (r)?
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A. Same

B. Change

C. Differ

D. None of these

1164. The range of partial correlation coefficient?
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A. 0to-1

B. -1to1

C. 0to1

D. 0 to infinity

1165. If (Bxy>1)then (Byx)?
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A. Remain same

B. Less than 1

C. Greater than 1

D. No effect

1167. Regression analysis is an_______?
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A. olute measure

B. ative measure

C. h a and b

D. e of these

1168. If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution ?
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A. Only when the sample size is smaller than 30

B. Only when the sample size is at least 100.

C. Always

D. Only when the sample size is at least 30.

1170. In the sampling without replacement a sampling unit can be selected_______________?
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A. None of these

B. More than once

C. Less than once

D. Only Once
1172. Non-sample errors are reduced by:________________?
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A. None of these

B. Decreasing the sample standard deviation

C. Increasing the sample size

D. Reduced the amount of data
1173. Which of the following is impossible in sampling ?
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A. To make voters lists

B. Destructive tests

C. None of these

D. Heterogeneous data

1175. If we increase the sample size, it means that it:_________________?
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A. Increases the Standard error

B. Decreases the Standard error

C. Decreases the Standard error

D. Both (a) and (b)
1176. The difference between statistics and parameter is called:______________?
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A. Bias

B. Standard

C. Sampling error

D. both (a) and (b)

1177. Another name of word population is_________?
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A. None of these

B. Universe

C. Whole

D. Individuals

1178. Which sampling procedure we prefer if population is heterogenous?
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A. None of these

B. Stratified sampling

C. Simple random sampling

D. Cluster sampling

1179. Probability distribution of a statistics is called_________________?
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A. Sampling

B. Parameter

C. Data

D. Sampling distribution
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
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

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
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

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