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Question 1. There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug.
State the Test Statistic of: Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data indicate that the mean remission time using the new drug is different from 12.5 week at a level of significance of 0.01?
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
Calculate the standard deviation of the number of available rooms in that sample. Construct a frequency distribution of the sample mean, and plot a histogram of this distribution.
The computed value of chi-square: Which of the following is true about the F distribution:
Scrap rates per thousand (parts whose defects cannot be reworked) are compared for 5 randomly selected days at three plants. Does the data prove a significant difference in mean scrap rates?
Most individuals are aware of the fact that the average annual repair cost for an automobile depends on the age of the automobile. A researcher is interested in finding out whether the variance of the annual repair costs also increases with the ag..
Probability that the flavor will be carried by Appleton or Beacon is 15/16. Determine the probability a flavor is carried by both Appleton and Beacon.
Below you are given a partial computer output based on a sample of 21 observations, relating an independent variable (x) and a dependent variable (y).
In 2007, the IRS audited 1.77% of individual tax returns with income greater than $100,000. What is the probability that two randomly selected returns with income greater than $100,000 will be audited?
How would you interpret the findings of a correlation study that reported a linear correlation coefficient of -1.34? a) strong linear correlation b) weak linear correlation c) impossible, d) calculation error no linear correlation
Using this information, calculate Blpha risk (probability of Type II error) if the true population mean really is 81.
This test result prompts a state administrator to declare that the mean score for the sate's eighth graders on the examination is more than 275. at a=.04, is there enough evidence to support the claim.
He asks you to develop a proposal for the study and submit it to him. Develop the management-research question hierarchy that will help you to develop a specific proposal.
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