A pharmaceutical company conducts an experiment to test the effect of a newcholesterol medication. The company selects 15 subjects randomly from a largerpopulation. Each subject is randomly assigned to one of three treatment groups. Abalanced design is used. Within each treatment group, subjects receive a different doseof the new medication. In Group 1, subjects receive 0 mg/day; in Group 2, 50 mg/day;and in Group 3, 100 mg/day. After 30 days, doctors measure the cholesterol level of eachsubject. The results for all 15 subjects appear in the table below:0 mg/day 50 mg/day 100 mg/dayAverage Cholesterol 258246210Cholesterol Variance 1170630450What is the computed value of the F test statistic for the standard CRD by one-wayANOVA? Final answer to 2 decimal places.

Anova table is used to measure the mean significance between the categorical variable. In which each…

Answered: A pharmaceutical company conducts an…

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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List the sample space of each experiment. Tossing three coins
What is an experiment?
A healthcare provider notices an outbreak of foodborne illness among individuals who attended a holiday cookout. Which study type would be most beneficial in identifying the source of the outbreak?
A pharmaceutical company tested the impact of four cholesterol-reducing medications (denoted A, B, C and D) on people at high risk of heart attack. For this clinical trial 20 volunteers with LDL (bad) cholesterol levels of 140 mg/dl were randomly assigned to one of the four medications. The subjects were instructed to take one tablet per day for a period of three months after which their LDL levels were again measured. Below are the amounts (in mg/dl) by which the LDL levels decreased after the three month trial. | Medication A | Medication B | Medication C Medication D 31 30 31 30 32 31.5 32 35 29 30.5 29.75 27 33 30.5 31.75 31 29 31.5 33 29 (a) Write an appropriate statistical model (to represent the responses using an appro- priate equation) to describe the above data. Describe all symbols/notations used in the model. (b) Estimate the (four) group means, overall mean, and error variance (²) from the data. (c) Do the data provide sufficient evidence to indicate that at least one of…
A market research group wants to find out which of two brands of shoes causes blisters more often. They are considering three methods of gathering data: Method A: Randomly choose 100 people. Ask them what shoes they typically wear and how often they tend to get blisters. Method B: Randomly choose 50 people to wear one brand of shoes and another 50 to wear the other brand. Compare the number of blisters that each group gets over the course of a month. Method C: Find a group of 50 people that own the first brand of shoes, and another 50 people that own the second brand. Monitor how many blisters each group gets. Tell whether each method of gathering data is a survey, an observational study, or an experiment. Which option would give the most reliable results?
To perform a certain type of blood analysis, lab technicians must perform two procedures.The first procedure requires either one or two separate steps, and the second procedurerequires either one, two, or three steps.a. List the experimental outcomes associated with performing the blood analysis.
A new over-the-counter medicine to treat a sore throat is to be tested for effectiveness. The makers of the medicine take two random samples of 25 individuals showing symptoms of a sore throat. Group 1 receives the new medicine and Group 2 receives a placebo. After a few days on the medicine, each group is interviewed and asked how they would rate their comfort level 1-10 (1 being the most uncomfortable and 10 being no discomfort at all). The results are below. Find the 95% confidence interval in the difference of the mean comfort level. Is there sufficient evidence to conclude that the new medicine is effective? Assume the data is normally distributed with unequal variances. (Round answers to 4 decimal places) Make sure you put the 0 in front of the decimal. Average Group 1 = 5.84, SD Group 1 = 2.211334, n1 = 25 Average Group 2 = 3.96, SD Group 2 = 2.35372, n2 = 25
This obstetrician also wanted to determine the impact that three experimental diets had on the birth weights of pregnant mothers. She was also interested if age had an impact on birth weights. She randomly selected 27 pregnant mothers in the first trimester of whom 9 were 20 to 29 years old, 9 were 30 to 39 years old, and 9 were 40 or older. For each age group, she randomly assigned the mothers to one of three diets. After delivery, she measured the birth weight (in grams) of the babies and obtained the data a) What is the blocking variable?
This obstetrician also wanted to determine the impact that three experimental diets had on the birth weights of pregnant mothers. She was also interested if age had an impact on birth weights. She randomly selected 27 pregnant mothers in the first trimester of whom 9 were 20 to 29 years old, 9 were 30 to 39 years old, and 9 were 40 or older. For each age group, she randomly assigned the mothers to one of three diets. After delivery, she measured the birth weight (in grams) of the babies and obtained the data a)How many treatments are there? b)What type of design is this? How many replications are there within each cell?
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. Suppose the actual p-value for a two-sided test is 0.140. On the basis of this p-value, what should you conclude at α = 0.05? Group of answer choices The mean difference between the absorption rate of the reference drug and the absorption rate of the generic drug is equal to zero There is insufficient evidence to conclude that the mean difference between the absorption rate of the reference drug and the absorption rate of the generic drug is not equal to…
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. Assume that all conditions are met. The mean of the differences was 1.33 and the standard deviation of those differences was 2.90. What is the test statistic for this procedure? Group of answer choices 2.35 1.59 1.90 5.50
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. Suppose the t test statistic is t = 1.72. What is the p-value for a two-sided test? Group of answer choices 0.05 < p-value < 0.10 0.40 < p-value < 0.50 0.20 < p-value < 0.25 0.10 < p-value < 0.20

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