Thirty-seven percent of all Americans drink bottled water more than once a week (Natural resources Defense Council, December 4, 2015). Suppose you have been hired by he Natural Resources Defence Council to investigate bottled water consumption in St. Paul. You plan to select a sample of St. Paulites to estimate the proportion who drink ottled water more than once a week. Assume the population proportion of St. Paulites who drink bottled water more than once a week is 0.37, the same as the overall proportion of Americans who drink bottled water more than once a week. Use z-table. a. Suppose you select a sample of 540 St.Paulites. Show the sampling distribution of p (to 4 decimals). E(p) = 0.3700 F = 0.0208 p. Based upon a sample of 540 st. Paulites, what is the probability that the sample proportion will be within 0.01 of the population proportion (to 4 decimals). probability = 1.0000 . Suppose you select a sample of 200 St.Paulites. Show the sampling distribution of p (to 4 decimals). E(p) = 0.3700 F = 0.6083 d. Based upon a smaller sample of only 200 St. Paulites, what is the probability that the sample proportion will be within 0.01 of the population proportion (to 4 decimals). probability = 0.0279

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Thirty-seven percent of all Americans drink bottled water more than once a week (Natural resources Defense Council, December 4, 2015). Suppose you have been hired by
the Natural Resources Defence Council to investigate bottled water consumption in St. Paul. You plan to select a sample of St. Paulites to estimate the proportion who drink
bottled water more than once a week. Assume the population proportion of St. Paulites who drink bottled water more than once a week is 0.37, the same as the overall
proportion of Americans who drink bottled water more than once a week. Use z-table.
a. Suppose you select a sample of 540 St.Paulites. Show the sampling distribution of p (to 4 decimals).
E(p)
0.3700
OF = 0.0208
b. Based upon a sample of 540 St. Paulites, what is the probability that the sample proportion will be within 0.01 of the population proportion (to 4 decimals).
probability =
1.0000
c. Suppose you select a sample of 200 St.Paulites. Show the sampling distribution of p (to 4 decimals).
E(p)
0.3700
OF = 0.6083
d. Based upon a smaller sample of only 200 St. Paulites, what is the probability that the sample proportion will be within 0.01 of the population proportion (to 4 decimals).
probability = 0.0279
e. As measured by the increase in probability, how much do you gain in precision by taking the larger sample in parts (a) and (b) rather than the smaller sample in parts (c)
and (d)?
Reduced by
80
Have gain in precision by increasing the sample. v
Transcribed Image Text:Thirty-seven percent of all Americans drink bottled water more than once a week (Natural resources Defense Council, December 4, 2015). Suppose you have been hired by the Natural Resources Defence Council to investigate bottled water consumption in St. Paul. You plan to select a sample of St. Paulites to estimate the proportion who drink bottled water more than once a week. Assume the population proportion of St. Paulites who drink bottled water more than once a week is 0.37, the same as the overall proportion of Americans who drink bottled water more than once a week. Use z-table. a. Suppose you select a sample of 540 St.Paulites. Show the sampling distribution of p (to 4 decimals). E(p) 0.3700 OF = 0.0208 b. Based upon a sample of 540 St. Paulites, what is the probability that the sample proportion will be within 0.01 of the population proportion (to 4 decimals). probability = 1.0000 c. Suppose you select a sample of 200 St.Paulites. Show the sampling distribution of p (to 4 decimals). E(p) 0.3700 OF = 0.6083 d. Based upon a smaller sample of only 200 St. Paulites, what is the probability that the sample proportion will be within 0.01 of the population proportion (to 4 decimals). probability = 0.0279 e. As measured by the increase in probability, how much do you gain in precision by taking the larger sample in parts (a) and (b) rather than the smaller sample in parts (c) and (d)? Reduced by 80 Have gain in precision by increasing the sample. v
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