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Makers of generic drugs are required to show that their generic drugs do not differ significantly from the “reference” or brand name drugs that they imitate. One aspect in which the generic drugs might differ is their extent of absorption in the blood. Twelve subjects were available for the study. Six were randomly selected to receive the generic drug first and then, after a washout period, receive the “reference” drug. The remaining six received the “reference” drug first, followed by the generic drug after the washout period.
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- Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. F-ratio: Low Moderate p-value: 2.2 3.1 0.6 2.6 0.5 0 High Moderate 1.5 2.1 3.3 2.3 2.1 4.6 Moderately Severe 2.7 4.7 4.7 4.6 3.7 3.3 From this table, conduct ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Severe 3.8 2.4 5.3 4.7 4.2 4 What is your final conclusion? Use a significance level of a = 0.02. O There is sufficient evidence that there exists a significant difference between treatments. O There is not enough evidence to determine a difference…arrow_forwardRoy's Texaco wants to keep the price of its unleaded gasoline competitive with that of other stations in the area. Roy's is currently charging $1.29 per gallon. To check that the average price for this gasoline for all stations within 12-mile radius is higher than his price, Roy randomly samples the price of unleaded gasoline at ten stations located in this area. He obtains the following data for the price per gallon (in dollars): 1.7, 1.5, 2.6, 2.2, 2.4, 2.3, 2.6, 3.0, 1.4, 2.3 Set up appropriate hypotheses and test them using a significant level of .01.arrow_forwardThe stated goal of a chain of service stores is to provide a lube and oil change for anyone's automobile in 15 minutes. The manager at one store thinks that there is a growing disparity among his workers in the time it takes to lube and change the oil of an automobile. To monitor this, the manager has selected a sample of 20 days and has recorded the time it took five randomly selected employees to service an automobile. The data are found below. Complete parts a through d Click the icon to view the data. a. The manager noticed that the longest time it took to service a car was 25.73 minutes. Suppose the distribution of fimes to service a car was normal, with a mean of 15. Without analyzing the sample data, use your knowledge of a normal distribution to give the manager an estimate for the population standard deviation for the time it takes to service a car. The standard deviation is minutes. (Round to two decimal places as needed.) b. Use the data to construct an x- and an R-chart.…arrow_forward
- A recruiter at Salisbury University is interested in comparing the percents of high school seniors who plan to go to college in two different regions of the country. The boxplots of the distributions of the percents of seniors who plan to go to college are shown below. Compare the distributions of the percents of seniors who plan to go to college in the two regions. The recruiter combined the data from the two regions to produce a single histogram. Describe the shape of the distribution of the combined data.arrow_forwardA group of disabled women ages 65 and older were followed for several years. It was found that those who had a vitamin B12 deficiency were twice as likely to suffer from severe depressions than those who did not.a. Describe the type of study being performed.b. Describe the explanatory variable(s) and response variable(s).arrow_forwardSuppose we are interested in comparing the proportion of male students who smoke to the proportion of female students who smoke. We have a random sample of 150 students (60 males and 90 females) that includes two variables: Smoke = "yes" or "no" and Gender = "female (F)" or "male (M)". The two-way table below summarizes the results. Smoke = Yes Smoke = No Sample Size 60 90 Gender = M Gender = F Reference: 3-15-No Tech 9 9 51 81 Describe how to use the data to construct a bootstrap distribution. What value should be recorded for each of the bootstrap samples.arrow_forward
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