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If it is necessary to provide statements about the precision of estimates, a nonprobabilistic sampling method may be used. Judgment sampling is a...

3. If it is necessary to provide statements about the precision of estimates, a nonprobabilistic sampling method may be used.
4. Judgment sampling is a type of nonprobabilistic sampling.

1 University of Khartoum Graduate College M.Sc. (Agricultural Economics) Semester Test Sample Survey Name: ………………………………………………………………………………. In the following mul±ple choice ques±ons, circle the correct answer. PART I: 1. The frame for a sample survey is a list of the units making up the sample. 1. True 2. False 2. Both probabilis±c and nonprobabilis±c methods can be used to select a sample. 1. True 2. False 3. If it is necessary to provide statements about the precision of es±mates, a nonprobabilis±c sampling method may be used. 1. True 2. False 4. Judgment sampling is a type of nonprobabilis±c sampling. 1. True 2. False 5. Simple random sampling is a form of probabilis±c sampling 1. True 2. False 6. A simple random sample of 36 elements from a popula±on of 100 elements yielded X = 720 and S = 24. An es±mate of the standard error of the mean is 1. 4.00 2. 3.20 3. 10.24 4. 2.56 7. A simple random sample of 36 elements from a popula±on of 100 elements yielded X = 720 and S = 24. An approximate 95% con²dence interval es±mate for the popula±on mean is 1. 713.60 to 726.40 2. 696 to 744 3. 672 to 768 4. 716.80 to 723.20 8. A simple random sample of 36 elements from a popula±on of 100 elements yielded X = 720 and S = 24. An approximate 95% con²dence interval is es±mate for the popula±on total is
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2 1. 70,000 to 74,000 2. 71,200 to 72,800 3. 71,360 to 72,640 4. 71,680 to 72,320 5. 71,600 to 72,320 9. If N = 1000 and a sample of size 10 is chosen by sampling so that each sample of size 10 has the same probability of being chosen, then the sampling procedure being used is 1. convenience sampling. 2. judgment sampling. 3. simple random sampling. 4. straTFed sampling. 5. None of the above. 10. If N = 1000 and a sample of size 10 is chosen by choosing a random element between 1 and 100, then choosing every 100 th element therea±er (for example, elements 52, 152, 252, . .. , 952). ²he sampling method used is 1. convenience sampling. 2. systemaTc sampling 3. simple random sampling. 4. straTFed sampling. 5. None of the above. 11. StraTFed random sampling works well in situaTons where the variance between strata is large relaTve to the variance within strata. 1. ²rue 2. ³alse 12. A straTFed simple random sample provided these results: N 1 = 100, n 1 = 30, 1 P = 0.2, N 2 = 150, n 2 = 40, 2 P = 0.5; N 3 = 180, n 1 = 45, 3 P = 0.4. ²he number of elements in the populaTon is 1. 115 2. 450 3. 545 4. 430 13. A straTFed simple random sample provided these results: N 1 = 100, n 1 = 30, 1 P = 0.2, N 2 = 150, n 2 = 40, 2 P = 0.5; N 3 = 180, n 3 = 45, 3 P = 0.4. A point esTmate of the populaTon proporTon is 1. 0.200 2. 0.500 3. 0.293 4. 0.305 5. 0.388 14. Cluster sampling works well when each cluster is representaTve of the populaTon. 1. ²rue 2. ³alse 15. A cluster sample provided the following: x 1 = 90, a 1 = 12, M 1 = 20; x 2 = 90, a 2 = 15, M 2 = 30; x 3 = 60, a 3 = 13, M 3 = 30. A point esTmate of the populaTon mean is given by
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