353. The first and starting point in test Hypothesis is ______________?
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A. Test statistics

B. stating H1

C. stating Ho

D. L of significance

357. Base year quantities are used as weights in _______________?
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A. Laspeyres index

B. None of these

C. Fishers index

D. Paasches index

359. When using the sign test, if two scores are tied, then_____________?
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A. We depends upon the scores

B. We discard them

C. We count them

D. non of these

361. In binomial experiment, the experiment is repeated ______________?
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A. a large number times

B. n = 100

C. n; where n < 0

D. n; fixed number of times
362. 95% confidence limits for P are _________________?
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A. P1.96?p2q2/n

B. P1.65(pq/n)

C. P1.96 p2q2/?n

D. P2.18?p2q2/n

364. Sampling Error decrease by _______ the sample size?
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A. Decrease

B. Sampling

C. Increase

D. Population
365. Which of the following is not the property of binomial distribution ?
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A. n is fixed

B. Trials are independent

C. Probability of success varies from trial to trial

D. Has two outcomes

368. Which of the following is a true statement for comparing the t distribution with standard normal ?
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A. Greater the degree of freedom, the more the t-distribution resembles the standard normal distribution

B. Non of these

C. The Normal Curve is symmetrical whereas the t-distribution are slightly skewed.

D. The proportion of area beyond a specific value of t is less than the proportion of normal curve

369. The S.D. and variance are ____ of origine?
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A. Change

B. Variance

C. Independent

D. Multiplied

372. Which of the following is not a condition of the binomial distribution ?
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A. Have constant probability

B. Trials must be independent

C. Must have at least 3 trials

D. Only 2 possible outcomes

373. The sum of absolute deviations from median is _____?
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A. Least

B. Positive

C. Zero

D. None of these

374. To purchase the fruit, we use the _________ sampling?
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A. Stratified

B. Systematic

C. Judgment

D. Cluster

376. The mean of a binomial distribution is always:____________________?
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A. None of these

B. Equal to variance

C. Less than variance

D. Greater than varince
377. In a binomial distribution mean and variance is ________________?
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A. Variance ? mean

B. Mean < variance

C. Variance > mean

D. None of these

378. Sample proportion P is __________ estimator?
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A. None of these

B. Biased

C. Parameter

D. Unbiased
380. The formula ?pnqn/poqn x100 is used to calculate?
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A. The Paasche quantity index

B. The Laspeyres price index

C. The Laspeyres quantity index

D. The Paasche price index

381. For t distribution, increasing the sample size, the affect will be on ?
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A. Degrees of Freedom

B. The t-ratio

C. All Above

D. Standard Error of the Means

382. For a binomial distribution?
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A. n must assume a number between 1 and 20 or 25

B. p must be a multiple of 10

C. There must be at least 3 possible outcomes

D. None of these
384. Price in proceeding year used in the method is called __________?
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A. Volume

B. Chain Method

C. Fixed Method

D. Aggregation Method

386. Fishers ideal index number is also obtained by _______________?
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A. Taking A.M. of Laspeyres and Paasches index

B. Taking G.M. of Laspeyres and Paasches index

C. Both (a) and (b)

D. None of these

388. if Var(?)?0 as n ? 0, then ? is said to be______________?
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A. Sufficient

B. Unbiased

C. Efficient

D. Consistent
391. Qon means _________ for the given year?
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A. Quantity Index

B. Commodity

C. Quantity in current

D. Price

392. In a binomial distribution mean and variance is _________________?
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A. Variance > mean

B. Mean < variance

C. Variance ? mean

D. None of these

393. Criteria to check a point estimator to be good are_____________?
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A. Consistency

B. Efficiency

C. All Above

D. Unbiasedness

395. The lack of uniformity is called ______________?
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A. X= 5

B. variation

C. Lack

D. Skewness
396. which is poor measure of dispersion in open-end distribution ________________?
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A. None of these

B. Semi-inter quartile range

C. Quartile- deviation

D. Range
398. A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately ?
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A. Normal because of the central limit theorem

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

C. None of these alternatives is correct.

D. Normal because is always approximately normally distributed

399. 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)
400. For a biased estimator ? of ?, which one is correct_______________?
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A. MSE(?)=Var(?)+Bias2

B. MSE(?)=SD(?)+Bias2

C. MSE(?)=SD(?)+Bias

D. MSE(?)=Var(?)+Bias