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A population parameter is used to estimate a confidence interval.

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TABLE 8-10 The president of a university is concerned that illicit drug use on campus is higher than the 5% targeted level. A random sample of 250 students from a population of 2,000 revealed that 7 of them had used illicit drugs during the last 12 months. -Referring to Table 8-10, the president can be 90% confident that no more than 5% of the students at the university had used illicit drugs during the last 12 months.

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TABLE 8-14 A poll was conducted by the marketing department of a video game company to determine the popularity of a new game that was targeted to be launched in three months. Telephone interviews with 1,500 young adults were conducted which revealed that 49% said they would purchase the new game. The margin of error was ±3 percentage points. -Referring to Table 8-14, what is the needed sample size to obtain a 95% confidence interval in estimating the percentage of the targeted young adults who will purchase the new game to within ±5% if you do not have the information on the 49% in the interviews who said that they would purchase the new game?

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The head librarian at the Library of Congress has asked her assistant for an interval estimate of the mean number of books checked out each day. The assistant provides the following interval estimate: from 740 to 920 books per day. What is an efficient, unbiased point estimate of the number of books checked out each day at the Library of Congress?


A) 740
B) 830
C) 920
D) 1,660

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A sample size of 5 provides a sample mean of 9.6. If the population variance is known to be 5 and the population distribution is assumed to be normal, the lower limit for a 90% confidence interval is 7.96.

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Which of the following is not true about the Student's t distribution?


A) It has more area in the tails and less in the center than does the normal distribution.
B) It is used to construct confidence intervals for the population mean when the population standard deviation is known.
C) It is bell shaped and symmetrical.
D) As the number of degrees of freedom increases, the t distribution approaches the normal distribution.

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TABLE 8-14 A poll was conducted by the marketing department of a video game company to determine the popularity of a new game that was targeted to be launched in three months. Telephone interviews with 1,500 young adults were conducted which revealed that 49% said they would purchase the new game. The margin of error was ±3 percentage points. -Referring to Table 8-14, the report contains all the essential components for an ethical reporting of poll results.

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TABLE 8-8 The president of a university would like to estimate the proportion of the student population that owns a personal computer. In a sample of 500 students, 417 own a personal computer. -Referring to Table 8-8, we are 99% confident that the mean numbers of student population who own a personal computer is between 0.7911 and 0.8769.

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The county clerk wants to estimate the proportion of voters who will need special election facilities. The clerk wants to construct a 95% confidence interval for the population proportion which extends at most 0.07 to either side of the sample proportion. How large a sample must be taken to assure these conditions are met?

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For a t distribution with 12 degrees of freedom, the area between -2.6810 and 2.1788 is 0.980.

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The t distribution is used to develop a confidence interval estimate of the population proportion when the population standard deviation is unknown.

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A university dean is interested in determining the proportion of students who receive some sort of financial aid. Rather than examine the records for all students, the dean randomly selects 200 students and finds that 118 of them are receiving financial aid. If the dean wanted to estimate the proportion of all students receiving financial aid to within 3% with 99% reliability, how many students would need to be sampled?


A) n = 1,844
B) n = 1,784
C) n = 1,503
D) n = 1,435

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TABLE 8-11 A university wanted to find out the percentage of students who felt comfortable reporting cheating by their fellow students. A survey of 2,800 students was conducted and the students were asked if they felt comfortable reporting cheating by their fellow students. The results were 1,344 answered "Yes" and 1,456 answered "No." -Referring to Table 8-11, the parameter of interest is the proportion of the student population who feel comfortable reporting cheating by their fellow students.

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TABLE 8-8 The president of a university would like to estimate the proportion of the student population that owns a personal computer. In a sample of 500 students, 417 own a personal computer. -Referring to Table 8-8, a 90% confidence interval calculated from the same data would be narrower than a 99% confidence interval.

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A university dean is interested in determining the proportion of students who receive some sort of financial aid. Rather than examine the records for all students, the dean randomly selects 200 students and finds that 118 of them are receiving financial aid. The 95% confidence interval for π is 0.59 ± 0.07. Interpret this interval.


A) We are 95% confident that the true proportion of all students receiving financial aid is between 0.52 and 0.66.
B) 95% of the students get between 52% and 66% of their tuition paid for by financial aid.
C) We are 95% confident that between 52% and 66% of the sampled students receive some sort of financial aid.
D) We are 95% confident that 59% of the students are on some sort of financial aid.

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A confidence interval was used to estimate the proportion of statistics students who are females. A random sample of 72 statistics students generated the following 90% confidence interval: (0.438, 0.642) . Based on the interval above, is the population proportion of females equal to 0.60?


A) No, and we are 90% sure of it.
B) No. The proportion is 54.17%.
C) Maybe. 0.60 is a believable value of the population proportion based on the information above.
D) Yes, and we are 90% sure of it.

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TABLE 8-7 A hotel chain wants to estimate the mean number of rooms rented daily in a given month. The population of rooms rented daily is assumed to be normally distributed for each month with a standard deviation of 24 rooms. During February, a sample of 25 days has a sample mean of 37 rooms. -Referring to Table 8-7, a 90% confidence interval calculated from the same data would be narrower than a 99% confidence interval.

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TABLE 8-8 The president of a university would like to estimate the proportion of the student population that owns a personal computer. In a sample of 500 students, 417 own a personal computer. -Referring to Table 8-8, the critical value for a 99% confidence interval for this sample is ________.

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The difference between the sample mean and the population mean is called the sampling error.

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The difference between the upper limit of a confidence interval and the point estimate used in constructing the confidence interval is called the sampling error.

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