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A study of cell phones and the risk of brain cancer looked at a group of 469 people who have brain cancer. The investigators matched each cancer patient with a person of the same sex, age, and race who did not have brain cancer, then asked about use of cell phones. What are the explanitory and response variables?
With the fluctuation of gas prices today, the mileage ratings of vehicles
For each of the 50 states and Washington, D.C., a number of statistics related to education are available for 1992
the following data were collected in a clinical trial to compare a new drug to a placebo for its effectiveness in
A restaurant claims that its speed of service time is less than 18 minutes. A random selection of 36 service times was collected, and their mean was calculated to be 17.1 minutes.
In addition, record the values for the UCL, center line, and LCL. Also, record any points that are out of control. Use a z-value of three.
A random sample of 180 individuals had their blood sugar level measured. The 5-number summary was. How many of the people in the sample had glucose levels above 119?
Construct a hypothesis test to determine whether the average weight of a Smoky Bear moving van is more that 12,000 lb. Us a 5% level of significance.
suppose a population has mean micro 100 and the population standard deviation s 25. also suppose a random sample of
using a significance level of .05, test the hypothesis that the intake of linoleic acid in this group is lower than that of the general population. Also, compute a p-value for the hypothesis test.
Any state auto insurance company took a random sample of 370 insurance claims paid out during a 1-year period. the average claim was $750 with a standard deviation of $150. find .99 confidence interval for the mean claim payment.
Differentiate between the levels of measurement by providing an example of data which can be transformed from one level of measurement to another and another example of data that cannot be transformed.
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?
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