End Term
8
1 Each observation in the random sample has the same distribution as the population. 0 I do not want to answer this Question 1 True 2 False Correct Answer: 1 2 The reliability of the estimator is specified in point estimation. 0 I do not want to answer this Question 1 True 2 False Correct Answer: 2 3 X-bar = 16000 is a point estimator of the population mean. 0 I do not want to answer this Question 1 True 2 False Correct Answer: 2 4 A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X squar 1696. Find the best unbiased estimate of the population mean. 0 I do not want to answer this Question 1 6 2 4 3 8 4 None of the above
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Transcript of End Term
1Each observation in the random sample has the same distribution as the population.
0I do not want to answer this Question
1True
2False
Correct Answer: 1
2The reliability of the estimator is specified in point estimation.
0I do not want to answer this Question
1True
2False
Correct Answer: 2
3X-bar = 16000 is a point estimator of the population mean.
0I do not want to answer this Question
1True
2False
Correct Answer: 2
4A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X square = 1696. Find the best unbiased estimate of the population mean.
0I do not want to answer this Question
16
24
38
4None of the above
Correct Answer: 3
5A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X square = 1696. Find the best unbiased estimate of population variance.........................................................[ 2 MARKS]
0I do not want to answer this Question
14
267.8
32
4None of the above
Correct Answer: 1
6A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X square = 1696. Find the unbiased estimate of population SD.
0I do not want to answer this Question
12
24
38
4Does not exist
Correct Answer: 4
7A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X square = 1696. Find the estimate of the S.E. of X-bar.
0I do not want to answer this Question
10.8
20.4
32.0
4None of the above
Correct Answer: 2
8A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X square = 1696. The (LCL, UCL) of 95% confidence interval for the population mean is...................................................................[ 2 MARKS]
0I do not want to answer this Question
1(7.6,8.4)
2(7.1744, 8.8256)
3(7.216, 8.784)
4None of the above
Correct Answer: 2
9A random sample of size 25 from a normal population yields Sum of X = 200, Sum of X square = 1696. We can conclude population mean to be 8 with 95% of confidence.
0I do not want to answer this Question
1True
2False
Correct Answer: 1
10For a normal population with range 30, find the sample size required to estimate the mean with an error bound of 3 with 95% of confidence..........................................................[ 2 MARKS]
0I do not want to answer this Question
110
211
312
4None of the above
Correct Answer: 2
11In the determination of sample size n for the estimation of a parameter, when other data remain same, the sample size will increase with the increase of error bound.
0I do not want to answer this Question
1True
2False
Correct Answer: 2
12The sample size required to estimate the population proportion p of A type blood within 0.02 of its true value with 95% confidence is........................................................................[2 MARKS]
0I do not want to answer this Question
12401
22500
3601
4None of the above
Correct Answer: 1
13Level of significance (alpha) is
0I do not want to answer this Question
1P (CR | H1)
2P (AR | H1)
3P (CR | H0)
4P (AR | H0)
Correct Answer: 3
14As alpha increases, gamma decreases.
0I do not want to answer this Question
1True
2False
Correct Answer: 1
15Power gamma is the probability of ascertaining correctness of Ho.
0I do not want to answer this Question
1True
2False
Correct Answer: 2
16There are 23 defective screws in a random sample of 100 screws. Can you conclude the population proportion of defective screws to be 15 in 100? Given alpha = 0.05; (Ho, H1) are
0I do not want to answer this Question
1p== 0.23, p > 0.23
2p == 0.15, p > 0.15
3p == 0.15, p=/= 0.15
4p== 0.23, p =/= 0.23
Correct Answer: 3
17There are 23 defective screws in a random sample of 100 screws. Can you conclude the population proportion of defective screws to be 15 in 100? Given alpha = 0.05; Computed value of the T.S. is.................................................................[2 MARKS]
0I do not want to answer this Question
12.24
21.60
32.05
4None of the above
Correct Answer: 1
18There are 23 defective screws in a random sample of 100 screws. Can you conclude the population proportion of defective screws to be 15 in 100? Given alpha =0.05; CR is
0I do not want to answer this Question
1Z > 1.64
2|Z| > 1.96
3Z > 1.96
4None of the above
Correct Answer: 2
19There are 23 defective screws in a random sample of 100 screws. Can you conclude the population proportion of defective screws to be 15 in 100? Given alpha = 0.05; The Ho should be rejected.
0I do not want to answer this Question
1True
2False
Correct Answer: 1
20In a sample of 36 observations from a normal distribution with mean 98 and standard deviation of 12, what is the probability that the sample mean will be between 95 and 102..............................................................[2 MARKS]
0I do not want to answer this Question
10.4332
20.4772
30.9104
4None of the above
Correct Answer: 3 Your Answer: 3 Points Awarded: 2
