A company is going to introduce a new task management and communication system and allemployees will need to be trained to use this software. In order to select the most efficient trainingmethod, the management decides to run a small scale pilot experiment. 15 employees are recruitedfor the experiment and they are randomly assigned to 3 groups so that 5 employees belong to eachgroup. Members of Group 1 attend a series of training sessions in person, those is Group 2participate in training sessions online and employees in Group 3 receive a copy of the manual and areasked to read it on their own. The average performance scores of the three groups on a final test arecompared to determine whether there are significant differences between the training methods interms of efficiency.Identify the two variables in this experiment.

The objective is to define the variables of interest for the provided experiment. The variable, in…

Answered: A company is going to introduce a new…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A national study found that treating people appropriately for high blood pressure reduced their overall mortality by 20%. Treating people adequately for hypertension has been diffcult because it is estimated that 50% of hypertensives do not know they have high blood pressure, 50% of those who do know are inadequately treated by their physicians, and 50% who are appropriately treated fail to follow this treatment by taking the right number of pills. Answer the following questions ( please answer all the parts 1,2 and 3): 1) What is the probability that among 10 true hypertensives at least 50% are being treated appropriately and are complying with this treatment?2) What is the probability that at least 7 of the 10 hypertensives know they have high blood pressure? 3) If the preceding 50% rates were each reduced to 40% by a massive education program, then what effect would this change have on the overall mortality rate among true hypertensives; that is, would the mortality rate decrease…
Two 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?
Although a research study is typically conducted with a relatively small group of participants known as a most researchers hope to generalize their results to a much larger group known as a
A researcher wants to conduct an experimental study on the effect of learning strategies (cooperative and conventional) and learning interest (low, medium, and high) on learning outcomes. The total number of research samples is 90 students and each cell is 15 students. You determine the research data on the learning outcomes yourself. Interpret the results of the research data analysis.
Several epidemiologists conducted a cohort study of the effect of mercury exposure on the development of brain cancer. Subjects were followed for ten years. There were a total of 150,000 people in the study. Among the subjects, 76,000 were exposed to mercury and the rest were not. 52,000 of those exposed to mercury developed brain cancer, and only 1,200 of those unexposed to mercury developed brain cancer. Please create a two-by-two table. Calculate the relative risk and interpret it in a sentence. Calculate the attributable risk and interpret. Calculate the percent attributable risk and interpret. Assume that 30% of people in Rhode Island are exposed to mercury, calculate and interpret the population attributable risk and calculate and interpret the percent population attributable risk.
There are 64% of US adults who own a smartphone, up from 35% in 2011. Smartphones have become an important way for Americans to communicate, go online, access and share information. The Pew Research Center surveyed 1635 people in November, 2014 on smartphone ownership. Their goal was to learn how Americans use their smartphone devices. Identify the population and the sample.
Sarah believes that completely cutting caffeine out of a person's diet will allow him or her more restful sleep at night. In fact, she believes that, on average, adults will have more than two additional nights of restful sleep in a four-week period after removing caffeine from their diets. She randomly selects 8 adults to help her test this theory. Each person is asked to consume two caffeinated beverages per day for 28 days, and then cut back to no caffeinated beverages for the following 28 days. During each period, the participants record the numbers of nights of restful sleep that they had. The following table gives the results of the study. Test Sarah's claim at the 0.05 level of significance assuming that the population distribution of the paired differences is approximately normal. Let the period before removing caffeine be Population 1 and let the period after removing caffeine be Population 2. Numbers of Nights of Restful Sleep in a Four-Week Period With Caffeine 24 22 24 20…
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An interdepartmental task force is being formed to investigate an increase in violent crimes. 1/5 of the task force will be police officers from the local precinct. 1/4 will be ATF agents, and the remaining 22 will be from the FBI. How many people are participating in the task force?
A doctor wanted to study the effect of four different treatments on mental health. A group of 100 adults experiencing depression volunteered for the study. The doctor randomly assigned one-fourth of them to each of four groups. Group 1 followed a specific exercise plan, group 2 followed a specific diet plan, group 3 followed an exercise and diet plan, and group 4 did not follow any plan. After 4 weeks, the doctor contacted each participant and asked them if they felt any better. The results are displayed in the table. The doctor would like to know if these data provide convincing evidence that the distribution of responses differs across the treatment groups in the population of all patients like these. The random condition is met. The 10% condition is not needed because random sampling did not take place. This table of expected counts shows that all expected counts are at least 5. What is the value of the chi-square test statistic? χ‑2 = 5.03 χ‑2 = 6.26 χ‑2 = 25.33 χ‑2 = 39.22

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