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John, a medical practitioner at a private medical facility, is discussing the problem that one of his patients, Tom, says he has been having with the medication that the doctor has prescribed. It is a new medication and the facility has been asked to gather information about the medication for the manufacturer. At a previous visit to the doctor, Tom was complaining that the medication made his stomach upset. A check of the medication reactions data shows 0% reports on stomach upset in extensive testing. The doctor has asked Tom to fill out a log sheet of when he takes the medication and when, after that, that he feels his stomach get upset.
John takes the log sheet and gives the data to his doctor. The agency he sends it to calculates a correlation coefficient for the data. The calculation shows that there is a positive 0.85 correlation between taking the medication and stomach upset.
Tom sees the number and says, "See, that proves it. The medication causes stomach upset!"
What do you have to say about Tom's statement?
The height of women at a school are basically distributed with mean 66.4 in. and standard deviation 3.7 in. Determine the range of heights centered about the mean in which:
What is the probability that 30% or fewer male employees will indicate that they have to pick up the slack for mom's working flextime ?
At the .05 level of significance, can we conclude the Middletown students stayed in their districts less time than the Brockton students? Use the five-step hypothesis testing procedure.
a) 95% of confidence intervals generated will include the sample mean X. b) 5% of the confidence intervals generated will include the true mean μ
Suppose that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 3 to be 115 or more?
There are 20 qualified applicants for 5 trainee positions in a fast-food management program. How many different groups of trainees can be selected?
Let A be the event that a randomly chosen employee has a college degree and B the event that the chosen employee's income is more than $50,000.
Imagine that these results are disseminated to the general public through publication and media coverage. Write about one possible harmful consequence that these conclusions could have in the "everyday" world.
The amount of time the university professors devote to their jobs per week is normally distributed with a mean of 52 hours and a standard deviation of 6 hours.
Does the data prove a significant difference in mean times?
In Major League Baseball there are five teams in the Western Division of the National League: Arizona, Los Angeles, San Francisco, San Diego, and Colorado. How many different orders of finish are there for these five teams?
Determine the relationships among data above? Analyze with charts/graphs/tables and a discussion.
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