In Problems 22–31, for each study, explain which statistical procedure (estimating a single proportion; estimating a single mean; hypothesis test for a single proportion; hypothesis test for a single mean; hypothesis test or estimation of two proportions, hypothesis test or estimation of two means, dependent or independent) would most likely be used for the research objective given. Assume all model requirements for conducting the appropriate procedure have been satisfied.
28. Does turmeric (an antioxidant that can be added to foods) help with depression? Researchers randomly assigned 200 adult women who were clinically depressed to two groups. Group 1 had turmeric added to their regular diet for one week; group 2 had no additives in their diet. At the end of one week, the change in their scores on the Beck Depression Inventory was compared.
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Fundamentals of Statistics (5th Edition)
- Can someone please help me to solve the following question showing all workarrow_forwardIf the test value for the difference between the means of two large samples is 2.57 when the critical value is 1.96, what decision should be made? 1.96 2.57arrow_forwardThe authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement"† compared two different instruments for measuring a person's ability to breathe out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini-WrightMeter WrightMeter Subject Mini-WrightMeter WrightMeter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce different…arrow_forward
- The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement"† compared two different instruments for measuring a person's ability to breathe out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini-WrightMeter WrightMeter Subject Mini-WrightMeter WrightMeter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce…arrow_forwardWhat are the requirements for an experiment to be able to show that changes in one variable cause changes in another?arrow_forwardThe Crude Mortality Rate in Community A was higher than the Crude Mortality Rate in Community B, but the Age-Adjusted Mortality Rate was higher in Community B than in Community A. What does this information indicate? * O The investigators made a calculation error. No inferences can be made about the comparative age of the populations from these data. O The population of Community B is, on the average, older than that of Community A. O The population of Community A is, on the average, older than that of Community B.arrow_forward
- Researchers at a local public health office are interested in the difference in prevalence of sickle cell anemia by ethnicity in a population under its jurisdiction. Suppose the following table represents prevalence of sickle cell anemia reported based on a thorough survey. Ethnicity Prevalence of Sickle Cell African-American =242/1049 Other =165/1864 Calculate the risk difference between the groups.arrow_forward2. The city council is considering a law that would ban concealed weapons in all public facilities. A sample has been selected from the community and surveyed about support for the proposed ordinance. Is there a statistically significant relationship between age and support for the law against carrying concealed weapons (use p=.05, χ2(critical) = 3.841)? Use the five step model as a guide and write a sentence or two interpreting your results. Age Under 40 40 and older Support For 142 77 219 Against 106 170 276 248 247 495arrow_forward15. A study is conducted to compare mean cholesterol conventional (low-fat, low-calorie) diet for at least 6 months. The data are summarized in Table 7-59. levels for individuals following a low-carbohydrate diet for at least 6 months to individuals following a onventional (low-fat, low-calorie) diet for at least k months. The data are summarized in Table 7-59. Test if there is a significant difference in mean cho- lesterol levels between the diet programs using a 5% level of significance. 16. Another outcome variable in the study described in Problem 15 is hypercholesterolemia, defined as total cholesterol over 220. Among the individuals who follow the low-carbohydrate diet, 56% are hypercholesterolemic, and among the individu- als who follow the conventional diet, 40% are hypercholesterolemic. Test if there is a significant difference in the proportions using a 5% level of significance. 1 characteristicsarrow_forward
- I think I'm supposed to do a hypothesis test for a difference in means on this review problem, but I'm not completely sure. I'd be very grateful for some help!arrow_forwardIndependent random samples of 17 sophomores and 13 juniors attending a large university yield the following data on grade point averages: sophomores juniors x bar 2.84 2.75 n 17 13 s 0.52 0.31 Add the 5% significance level, does the data provide sufficient evidence to conclude that the mean GPAs of sophomores at the University are better than the juniors? 1. choose the correct parameter for the problem a. Mu1: the average GPAs of all sophomores attending a large university ; Mu2: the average GPAs of all juniors attending a large university b. All sophomores attending a large university; all juniors attending a large university c. The average GPA of all students attending a large…arrow_forwardI need a solution that shows every step and includes curve.I am really bad at statistics and i will be very happy if i can understand easily :) Thank you!arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt