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A researcher is asked to determine the likelihood that a new medication for arthritis works better than a similar medication that's been around for a decade. How would the researcher approach this assignment?
State a possible research hypothesis in the space below. Frame it as specifically as possible, in a testable way (so that we could use statistics to test the hypothesis).
What sort of subjects would the researcher want in his or her study?
What are the variables of interest, as well as the possible confounds and covariates the researcher should consider?
Describe the statistics that would be most applicable to test the hypothesis.
Discuss how the results of the statistical analysis might be statistically and/or practically significant.
According to a recent survey, the probability that a passengerfiles a complaint with the Department of Transportation about aparticular U.S. airline is .000014. Suppose 100,000 passengers whoflew with this particular airline are randomly contacted..
Calculate the Pearson correlation for these data also determine whether there is a significant correlation among attitudes for husbands also wives.
The Federal Government is stepping up efforts to reduce average response times of fire departments to fire calls. The distribution of mean response times to fire calls follows a normal distribution with a mean of 12.8 minutes and a standard deviat..
The number of false alarms a building fire alarm system registers has a Poisson distribution with a mean of 6 false alarms per year. The variance of the number of false alarms is what?
A sample of size 9 is drawn at random from a Normal distribution. The experiment has a null hypothesis of μ = 0 and an alternate hypothesis of μ > 0. The mean of the sample is 7 with an s of 8. Is there a difference at the 1% level?
Find the 95% confidence interval of the mean number of ER patients treated each day at the hospital.
A major department store chain is planning to open a store in a new city. Five cities are being considered: Boston, Atlanta, Dallas, Cleveland, and Los Angeles.
In comparing two variances below, determine test value and what are degrees of freedom that must be used?
Compute mean absolute percentage error (MAPE) of the forecasts.
A shipment of crankshafts is believed to be defective. A simple random sample of 16 is drawn from a large shipment. Check to see if the sample is any different from the assumed population mean of 224.
Four different paints are advertised as having the same drying time. To check the manufacturer's claims, five samples were tested for each of the paints.
You have 4 groups that you are trying to find if there is a difference in any of the population means. In each group there are 7 observations. The given level of significance is an alpha of .005. Your MSA is 6,200 and your MSW is 1,000. Will you r..
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