Researchers are interested in determining if there is a difference in the proportion of women who choose the different types of treatments for those diagnosed with Ductal Carcinoma in Situ
(DIS) breast cancer, which is a form of breast cancer that occurs in the Breast Ducts and has not spread. Following a diagnoses of DCIS, women can choose between three different treatment plans: a mastectomy or a lumpectomy followed by radiation therapy or a lumpectomy followed by Adjuvant Endocrine therapy. A random sample of 500 women diagnosed with DCIS breast cancer was obtained. Of the 500 women, 190 chose to have a mastectomy, 150 chose to have a lumpectomy followed by radiation, and 160 chose to have a lumpectomy followed by Adjuvant Endocrine therapy. At the 1% significance level, what conclusion can be reached?
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- Dr. James, a dermatologist, is creating a face wash for her patients with severe skin allergies. However, the product is not yet ready to be released to the public. Tests indicate 47% of people with "highly sensitive skin" who sampled the facial wash still exhibit an allergic reaction. Assume the test results are representative of the general population. If Dr. James released the face wash to the public now, and 51 people with "highly sensitive skin" used it, what is the probability that exactly 32 will have an allergic reaction? Use a normal distribution to approximate the answer and write it as a decimal rounded to the nearest hundredth.arrow_forwardAn epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered: Shoe size > 9 Pair Case Control 1 Yes No 2 No No 3 No Yes 4 Yes Yes 5 No Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)? Submit your thread by 11:59 p.m. (ET) on Thursday of Module/Week 3, and submit your replies by 11:59 p.m. (ET) on Sunday of the same module/week. 1arrow_forwardDean for student affairs of a small university is worried about students’ expenditure on internet expense during the period study from home since this Covid-19 outbreak. Especially she wants to know whether students of social sciences spend more compared to students from science and technology. As a quick and preliminary study, she collected a sample of 9 students from science and technology and 11 students from social sciences. Total spending for internet is in Rp0000 during the month of April 2029. The results are presented in the following table. Questions: 1. Explain whether you can or cannot use normal approach to the case. 2. Conduct the test by showing formal steps in hypothesis test (design, decision rule, statistical test, and conclusion) at α = 0.05arrow_forward
- Calcium is the most abundant mineral in the body and also one of the most important. The recommended daily allowance (RDA) of calcium for adults is 800 milligrams (mg). A random sample of 18 people with incomes below the poverty level gives the following daily calcium intakes: 686, 433, 743, 647, 734, 641, 993, 620, 574, 634, 850, 858, 992, 775, 1113, 672, 879, 609 At the 1% significance level, do the data provides sufficient evidence to conclude that the mean calcium intake of all people with income levels below the poverty level is less than the RDA of 800 mg? Step 1 : Step 2: 3.Critical Value approach: 4.Conclusion:arrow_forwardTwo different blood pressure medicines are being compared to determine if the average reduction in blood pressure is the same for each medication. The goal of the study is to determine if the medications differ. Twenty men age 50-60 years old are selected for the study. Ten men are chosen at random to receive the first medication and the other 10 men receive the second medication. Each of the 20 men is monitored for one month to determine the change in blood pressure over that time. Minitab provides the 95% confidence interval for (mu1 - mu2) (2.63, 14.18) a. Interpret this 95% CI. b. What assumptions (be specific) are necessary to construct this CI?arrow_forwardA pharmaceutical company proposed a vaccine that would combat paralytic polio. Two independent random samples were collected from the population. One random sample of 201,229 was given the placebo, and among them 100,910 contracted paralytic polio. The other random sample of 200,745 was given the vaccine, and among them 50,033 people ended up contracting paralytic polio. Let the true proportion of cases of paralytic polio given placebo be p1p1 and the true proportion of cases of paralytic polio given vaccine be p2. Calculate the upper bound of a 95% confidence interval for p1−p2. Round your answer to three decimal places.arrow_forward
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- Postpartum depression and anxiety (PPD), is a common medical condition affecting mothers and their families after the birth of a baby. The CDC estimated that 18 % of women who have recently given birth suffer from PPD. However, this research only reflected self-reported cases. Therefore, one group dedicated to helping women and their families with PPD believes that the true percentage of women who suffer from PPD is much higher. The group conducts a simple random sample of 119 women who had given birth in the last year and discovers that 28 of them report having PPD. Based on this evidence, can the group claim that the true percentage of women who have PPD is greater than 18 % ? Use a 0.10 level of significance. Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below. Ho :p = 0.18 Ha:P 0.18 Answer E Tables E Keypad Keyboard Shortcuts O > Prev Nex © 2021 Hawkes Learning JIS Aarrow_forwardPlease answer these questions thanksarrow_forwardCalculate an odds ratio A group of teens ages 13-17 with anxiety were chosen as cases in a case-control study. A second group of teens ages 13-17 without anxiety were chosen as controls for the same study. The researchers were investigating if attention deficient and hyperactivity disorder (ADHD) is a potential risk factor (exposure) for anxiety (outcome). The medical histories of cases and controls were examined to determine if participants had been diagnosed with ADHD between ages 8 and 10. Among cases (teens with anxiety), 77 had been diagnosed with ADHD between ages 8 and 10 and 34 had not been diagnosed with ADHD between ages 8 and 10. Among controls (teens without anxiety), 18 had been diagnosed with ADHD between ages 8 and 10 and 124 had not been diagnosed with ADHD between ages 8 and 10. Calculate the odds ratio to measure the association between being ADHD and anxiety in teens. Express your answer to the nearest tenth or 1 place past the decimal (example: 15.4).arrow_forward
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