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65. Critical value What critical valuet*from Table Bwould you use for a 99%confidence interval for the population mean based on an SRS of size 58? If possible, use technology to find a more accurate value of t*. What advantage does the more accurate dfprovide?

Short Answer

Expert verified

The critical value is 2.678, then the critical value with technology is 2.665, with the advantage of being more exact because 99%of the confidence interval includes the population mean.

Step by step solution

01

Given information

To determine the critical valuet*from Table Bwith 99%confidence interval for the population mean.

02

Explanation

The sample size was reduced by 1degree of freedom.

Where, sample size n is58.
df=n-1=58-1=57
Because there is no row withdf=57in table B,use the row with the smallest degrees of freedom that is closest todf=57:
df=50
Table Bcontains the critical value t*in the row with df=50and the column with(1-c)/2=0.005:
t*=2.678

03

Explanation

A less accurate degrees of freedom will lead to significant in the confidence interval being more than 99%confident of containing the true population mean as the critical value is larger. Using technology ( sample like Student's t-Distribution calculator) withdf=57and 2P(X>x)=0.01, then users receive x=2.665, and therefore the more accurate critical value is t*=2.665.
The benefit of more accurate degrees of freedom is that the confidence interval will be more accurate as well, so the 99%confidence interval will be 99%confident of containing the true population mean of an SRS of size 58.

Therefore, 99%of the confidence interval contains the true population mean.

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Most popular questions from this chapter

Power lines and cancer (4.2,4.3)Does living near power lines cause leukemia in children? The

National Cancer Institute spent 5 years and $5million gathering data on this question. The researchers compared 638children who had leukemia with620who did not. They went into the homes and actually measured the magnetic fields in children's bedrooms, in other rooms, and at the front door. They recorded facts about power lines near the family home and also near the mother's residence when she was pregnant. Result: no connection between leukemia and exposure to magnetic fields of the kind produced by power lines was found.

(a) Was this an observational study or an experiment? Justify your answer.

(b) Does this study show that living near power lines doesn't cause cancer? Explain.

I collect an SRS of size n from a population and compute a 95%confidence interval for the population proportion. Which of the following would produce a new confidence interval with larger width (larger margin of error) based on these same data?

(a) Use a larger confidence level.

(b) Use a smaller confidence level.

(c) Increase the sample size.

(d) Use the same confidence level, but compute the interval n times. Approximately5% of these intervals will be larger.

(e) Nothing can guarantee absolutely that you will get a larger interval. One can only say that the chance of obtaining a larger interval is 0.05.

Interpret your interval in context.

Reporting cheating What proportion of students are willing to report cheating by other students? A student project put this question to an SRS of 172 undergraduates at a large university: “You witness two students cheating on a quiz. Do you go to the professor?” Only 19 answered “Yes.”3

Running red lights A random digit dialing telephone survey of880drivers asked, "Recalling the last ten traffic lights you drove through, how many of them were red when you entered the intersections?" Of the 880respondents, 171admitted that at least one light had been red.15

(a) Construct and interpret a95%confidence interval for the population proportion.

(b) Nonresponse is a practical problem for this survey-only 21.6%of calls that reached a live person were completed. Another practical problem is that people may not give truthful answers. What is the likely direction of the bias: do you think more or fewer than 171of the 880respondents really ran a red light? Why? Are these sources of bias included in the margin of error?

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