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In each of the following situations, discuss whether it would be appropriate to construct a one-sample tinterval to estimate the population mean.

(a) We want to estimate the average age at which U.S. presidents have died. So we obtain a list of all U.S. presidents who have died and their ages at death.

(b) How much time do students spend on the Internet? We collect data from the 32members of our AP Statistics class and calculate the mean amount of time that each student spent on the Internet yesterday.

(c) Judy is interested in the reading level of a medical journal. She records the length of a random sample of 100words from a multipage article. The Minitab histogram below displays the data.

Short Answer

Expert verified

(a) We do not use t-procedure.

(b) We do not use t-procedure.

(c) We can uset-procedure.

Step by step solution

01

Part(a) Step 1: Given Information

02

Part(a) Step 2: Explanation

The sample contains the entire population, thus we can calculate the population mean directly and this means that it is not necessary to use the t-procedure.

03

Part(b) Step 1: Given Information

04

Part (b) Step 2: Explanation

The sample is a convenience sample because the individuals were conveniently selected as the members of the class.

A convenience sample is NOT a random sample and thus the RANDOM requirement for the t-procedure is not satisfied.

05

Part(c) Step 1: Given Information

06

Part(c) Step 2: Explanation

There are 3requirements to use the t-procedure: Random, Independent, Normal

Random: The sample is given to be a random sample

Independent: Can be assumed, because the sample size of 100is less than 10%of the population size.

Normal: Can be assumed, because the sample size of 100is larger than 30.

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Most popular questions from this chapter

A quality control inspector will measure the salt content (in milligrams) in a random sample of bags of potato chips from an hour of production. which of the following would result in the smallest margin of error in estimating the mean salt content M?

(a) 90% confidence; n=25.

(b) 90% confidence; n=50.

(c) 95% confidence; n=25.

(d) 95%confidence; n=50.

(e) n=100 at any confidence level.

A telephone poll of an SRS of 1234 adults found that 62% are generally satisfied with their lives. The announced margin of error for the poll was 3%. Does the margin of

error account for the fact that some adults do not have telephones?

(a) Yes. The margin of error includes all sources of error in the poll.

(b) Yes. Taking an SRS eliminates any possible bias in estimating the population proportion.

(c) Yes. The margin of error includes under coverage but not nonresponse.

(d) No. The margin of error includes nonresponse but is not under coverage.

(e) No. The margin of error only includes sampling variability.

How common is SAT coaching? A random sample of students who took the SAT college entrance examination twice found that 427of the respondents had paid for coaching courses and that the remaining 2733 had not. 1+ Construct and interpret a 99% confidence interval for the proportion of coaching among students who retake the SAT. Follow the four-step process.

Can you taste PTC? PTC is a substance that has a strong bitter taste for some people and is tasteless for others. The ability to taste PTC is inherited. About 75% of Italians can taste PTC, for example. You want to estimate the proportion of Americans who have at least one Italian grandparent and who can taste PTC.

(a) How large a sample must you test to estimate the proportion of PTC tasters within 0.04with 90% con铿乨ence? Answer this question using the 75% estimate as to the guessed value for p.

(b) Answer the question in part (a) again, but this time use the conservative guess p=0.5. By how much do the two sample sizes differ?

26. Sisters and brothers (3.1, 3.2) How strongly do physical characteristics of sisters and brothers correlate? Here are data on the heights (in inches)
of 11 adult pairs:

Brother
71
68
66
67
70
71
70
73
72
65
66
Sister
69
64
65
63
65
62
65
64
66
59
62

(a) Construct a scatterplot using brother鈥檚 height as the explanatory variable. Describe what you see.
(b) Use your calculator to compute the least-squares regression line for predicting sister鈥檚 height from brother鈥檚 height. Interpret the slope in context.
(c) Damien is 70 inches tall. Predict the height of his sister Tonya.
(d) Do you expect your prediction in (c) to be very accurate? Give appropriate evidence to support your answer.

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