In: Statistics and Probability
According to a survey in a country, 39% of adults do not own a credit card. Suppose a simple random sample of 200 adults is obtained. Complete parts (a) through (d) below. Click here to view the standard normal distribution table (page 1). LOADING... Click here to view the standard normal distribution table (page 2). LOADING... (a) Describe the sampling distribution of ModifyingAbove p with caret, the sample proportion of adults who do not own a credit card. Choose the phrase that best describes the shape of the sampling distribution of ModifyingAbove p with caret below. A. Not normal because n less than or equals 0.05 Upper N and np left parenthesis 1 minus p right parenthesis greater than or equals 10 B. Approximately normal because n less than or equals 0.05 Upper N and np left parenthesis 1 minus p right parenthesis less than 10 C. Approximately normal because n less than or equals 0.05 Upper N and np left parenthesis 1 minus p right parenthesis greater than or equals 10 D. Not normal because n less than or equals 0.05 Upper N and np left parenthesis 1 minus p right parenthesis less than 10 Determine the mean of the sampling distribution of ModifyingAbove p with caret. mu Subscript ModifyingAbove p with caret Baseline equals nothing (Round to two decimal places as needed.) Determine the standard deviation of the sampling distribution of ModifyingAbove p with caret. sigma Subscript ModifyingAbove p with caretequals nothing (Round to three decimal places as needed.) (b) What is the probability that in a random sample of 200 adults, more than 41% do not own a credit card? The probability is nothing. (Round to four decimal places as needed.) Interpret this probability. If 100 different random samples of 200 adults were obtained, one would expect nothing to result in more than 41% not owning a credit card. (Round to the nearest integer as needed.) (c) What is the probability that in a random sample of 200 adults, between 36% and 41% do not own a credit card? The probability is nothing. (Round to four decimal places as needed.) Interpret this probability. If 100 different random samples of 200 adults were obtained, one would expect nothing to result in between 36% and 41% not owning a credit card. (Round to the nearest integer as needed.) (d) Would it be unusual for a random sample of 200 adults to result in 72 or fewer who do not own a credit card? Why? Select the correct choice below and fill in the answer box to complete your choice. (Round to four decimal places as needed.) A. The result is not unusual because the probability that ModifyingAbove p with caret is less than or equal to the sample proportion is nothing, which is greater than 5%. B. The result is unusual because the probability that ModifyingAbove p with caret is less than or equal to the sample proportion is nothing, which is greater than 5%. C. The result is not unusual because the probability that ModifyingAbove p with caret is less than or equal to the sample proportion is nothing, which is less than 5%. D. The result is unusual because the probability that ModifyingAbove p with caret is less than or equal to the sample proportion is nothing, which is less than 5%.
(A)
C. Approximately normal because n < 0.05N and np(1-p)>= 10
Here we have
n=200, p=0.39
The sampling distribution of sample proportion will be approximately normal distribtuion with mean
and standard deviation
(B)
The z-score for is
The probability that in a random sample of 200 adults, more than 41% do not own a credit card is
P(z > 0.58) = 0.2810
If 100 different random samples of 200 adults were obtained, one would expect = 100 * 0.2810 = 28.10 or 28 to result in more than 28% not owning a credit card.
(c)
The z-score for is
The z-score for is
The probability that in a random sample of 200 adults, between 36% and 41% do not own a credit card is
P(-0.87 < z < 0.58) = 0.5269
If 100 different random samples of 200 adults were obtained, one would expect = 100 * 0.5269= 52.69 or 53 to result in between 36% and 41% not owning a credit card.
(d)
The z-score for is
So,
A. The result is not unusual because the probability that is less than or equal to the sample proportion is 0.1922, which is greater than 5%