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14.32 Women diagnosed with breast cancer whose tumors have not spread may be faced with a decision between two surgical treatments-mastectomy (removal of the breast) or lumpectomy (only the tumor is removed). In a long-term study of the effectiveness of these two treatments, 701 women with breast cancer were randomly assigned to one of two treatment groups. One group received mastectomies, and the other group received lumpectomies and radiation. Both groups were followed for 20 years after surgery. It was reported that there was no statistically significant difference in the proportion surviving for 20 years for the two treatments (Associated Press, October 17,2002 ). Suppose that this conclusion was based on a \(90 \%\) confidence interval for the difference in treatment proportions. Which of the following three statements is correct? Explain why you chose this statement. Statement 1: Both endpoints of the confidence interval were negative. Statement 2: The confidence interval included \(0 .\) Statement 3 : Both endpoints of the confidence interval were positive.

Short Answer

Expert verified
Statement 2 is correct because a confidence interval that includes 0 indicates that there is no statistically significant difference in the proportions, consistent with the study's reported findings.

Step by step solution

01

Understanding Confidence Intervals

A confidence interval provides a range of values that likely contains the true parameter value in the population. In this case, the parameter is the difference in survival proportions between women receiving different treatments. A 90% confidence interval means that the difference in proportions can lie within this range 90% of the time if the study were to be repeated many times under the same conditions.
02

Analyzing the Problem Statement

According to the problem, it was reported that there was no statistically significant difference in the proportion surviving for 20 years for the two treatments. This means that the confidence interval for the difference in treatment proportions must include 0. Because if 0 is in the confidence interval, it says that there is a chance that the true difference in proportions is 0, which means there is no difference.
03

Making the Final Decision

With an understanding of confidence intervals and the problem statement, it is possible to determine which statement is correct. Only Statement 2: 'The confidence interval included 0.' is correct because it indicates that there was no statistically significant difference in the survival proportions.

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Most popular questions from this chapter

The article "An Alternative Vote: Applying Science to the Teaching of Science" (The Economist, May 12,2011 ) describes an experiment conducted at the University of British Columbia. A total of 850 engineering students enrolled in a physics course participated in the experiment. Students were randomly assigned to one of two experimental groups. Both groups attended the same lectures for the first 11 weeks of the semester. In the twelfth week, one of the groups was switched to a style of teaching where students were expected to do reading assignments prior to class, and then class time was used to focus on problem solving, discussion, and group work. The second group continued with the traditional lecture approach. At the end of the twelfth week, students were given a test over the course material from that week. The mean test score for students in the new teaching method group was \(74,\) and the mean test score for students in the traditional lecture group was \(41 .\) Suppose that the two groups each consisted of 425 students. Also suppose that the standard deviations of test scores for the new teaching method group and the traditional lecture method group were 20 and 24 , respectively. Estimate the difference in mean test score for the two teaching methods using a \(95 \%\) confidence interval. Be sure to give an interpretation of the interval.

The article "Why We Fall for This" (AARP Magazine, May/June 2011 ) describes an experiment investigating the effect of money on emotions. In this experiment, students at University of Minnesota were randomly assigned to one of two groups. One group counted a stack of dollar bills. The other group counted a stack of blank pieces of paper. After counting, each student placed a finger in very hot water and then reported a discomfort level. It was reported that the mean discomfort level was significantly lower for the group that had counted money. In the context of this experiment, explain what it means to say that the money group mean was significantly lower than the blank- paper group mean.

14.31 The online article "Death Metal in the Operating Room" (www.npr.org, December 24,2009 ) describes an experiment investigating the effect of playing music during surgery. One conclusion drawn from this experiment was that doctors listening to music that contained vocal elements took more time to complete surgery than doctors listening to music without vocal elements. Suppose that \(\mu_{1}\) denotes the mean time to complete a specific type of surgery for doctors listening to music with vocal elements and \(\mu_{2}\) denotes the mean time for doctors listening to music with no vocal elements. Further suppose that the stated conclusion was based on a \(95 \%\) confidence interval for \(\mu_{1}-\mu_{2},\) the difference in treatment means. Which of the following three statements is correct? Explain why you chose this statement. Statement 1: Both endpoints of the confidence interval were negative. Statement 2: The confidence interval included \(0 .\) Statement 3: Both endpoints of the confidence interval were positive.

In the paper "Happiness for Sale: Do Experiential Purchases Make Consumers Happier than Material Purchases?" (Journal of Consumer Research [2009]: \(188-197\) ), the authors distinguish between spending money on experiences (such as travel) and spending money on material possessions (such as a car). In an experiment to determine if the type of purchase affects how happy people are after the purchase has been made, 185 college students were randomly assigned to one of two groups. The students in the "experiential" group were asked to recall a time when they spent about \(\$ 300\) on an experience. They rated this purchase on three different happiness scales that were then combined into an overall measure of happiness. The students assigned to the "material" group recalled a time that they spent about \(\$ 300\) on an object and rated this purchase in the same manner. The mean happiness score was 5.75 for the experiential group and 5.27 for the material group. Standard deviations and sample sizes were not given in the paper, but for purposes of this exercise, suppose that they were as follows: \begin{tabular}{|ll|} \hline Experiential & Material \\ \hline\(n_{1}=92\) & \(n_{2}=93\) \\ \(s_{1}=1.2\) & \(s_{2}=1.5\) \\ \hline \end{tabular} Using the following Minitab output, carry out a hypothesis test to determine if these data support the authors' conclusion that, on average, "experiential purchases induced more reported happiness." Use \(\alpha=0.05\) Two-Sample T-Test and Cl Sample \(\begin{array}{rrrrr}\text { ple } & \text { N } & \text { Mean } & \text { StDev } & \text { SE Mean } \\ 1 & 92 & 5.75 & 1.20 & 0.13 \\ 2 & 93 & 5.27 & 1.50 & 0.16\end{array}\) Difference \(=\operatorname{mu}(1)-\operatorname{mu}(2)\) Estimate for difference: 0.480000 \(95 \%\) lower bound for difference: 0.149917 T-Test of difference \(=0(\mathrm{vs}>): \mathrm{T}\) -Value \(=2.40 \mathrm{P}\) -Value \(=\) \(0.009 \mathrm{DF}=175\)

The article "A "White' Name Found to Help in Job Search" (Associated Press, January 15,2003 ) described an experiment to investigate if it helps to have a "white-sounding" first name when looking for a job. Researchers sent resumes in response to 5,000 ads that appeared in the Boston Globe and Chicago Tribune. The resumes were identical except that 2,500 used "white-sounding" first names, such as Brett and Emily, whereas the other 2,500 used "black- sounding" names such as Tamika and Rasheed. The 5,000 job ads were assigned at random to either the white-sounding name group or the black-sounding name group. Resumes with whitesounding names received 250 responses while resumes with black sounding names received only 167 responses. a. What are the two treatments in this experiment? b. Use the data from this experiment to estimate the difference in response proportions for the two treatments.

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