A simple random sample of 300 was drawn from a binomial process in which the
population proportion p = 0.4. The probability P (0.38 < p ̂ < 0.42) is
Select one:
1. 0.9616.
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2. 0.4721. 0737560989
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3. 0.0283. N
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4. 0.5222.
5. 0.0446.
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,According to a company, about 3.4% of the items are wrong priced when scanned at a retail checkout
counter. A researcher randomly selected and purchased 600 items, and he found that 15 of the 600 were
incorrectly priced by the checkout scanner. The probability that more than 2.5% of the items would be
incorrectly priced when they are scanned is
Select one:
1. 0.8888.
2. 0.1151.
3. 0.0888.
4. 0.1539.
5. 0.1112.
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FORFAC,ECS,MAC,DSC,TAX,FIN,INV,QMI,STA,BNU
MN
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,A simple random sample with n = 200 is drawn from a binomial
distribution in which the population proportion is p = 0.6. Let p ̂
represent the sample proportion.
The probability P (p ̂ = 0.5) is
Select one:
1. 0.0000.
2. 0.0019.
3. 0.0183.
4. 0.9981.
5. 0.6541.
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, According to a company, about 3.4% of the items are wrong priced when
scanned at a retail checkout counter. A researcher randomly selected
and purchased 600 items, and he found that 15 of the 600 were
incorrectly priced by the checkout scanner. The test statistic for the
proportion of the items that would be incorrectly priced when they are
scanned is
Select one:
1. 1.6221.
2. 0.0074.
3. 0.0025.
4. -1.2162.
5. 0.034.
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