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How would to solve this statistics question. In a gallop pill of 1,038 adults ,540 said that second-hand smoke is very harmful. What percentage of adults who said second-hand smoke is very harmful?
Uniformly distributed over the set of integers in the range [a, b], where a and b are integers with a
Perform a posthoc test that is suitable if we assume that group 7 is a control group and that the other are different treatment groups and that we are only interested in finding significant treatments, not to compare them.
The Quick Change Oil Company has a number of outlets in the Seattle area. The daily number of oil changes at outlet in past twenty days are:
The 99% confidence interval estimate for a population variance when a sample standard deviation of 12 is obtained from a sample of 10 items is:
Ace Machine Works estimates that the probability its lathe tool is properly adjusted is 0.8. When the lathe is properly adjusted, there is a 0.9 probability that the parts produced pass inspection.
A stationery store to estimate the mean retail value of greeting cards purchased by its customers when they visit the store. A random sample of 15 customers indicates a mean amount of $2.55 with a standard deviation of $0.44 per customer per visi..
Suppose that weights of bags of potato chips coming from a factory follow a normal distribution with mean 12.8 ounces and standard deviation .6 ounces.
Set up the null and alternative hypotheses, and perform the hypothesis test with a significance level of 0.05.
What is the probability that the mean weight of sixteen randomly chosen men would exceed the individual weight from part (1)?
Describe what assumptions must be met to use this test. Finally, where in your course project data set might you employ a paired t-Test?
Do you think that these types of statistics can ever be accurate? How could this statistic be biased? In what ways could scientists misinterpret the results of their studies and come up with an incorrect statistic? What are your thoughts?
Suppose the waiting time at a restaurant is normally distributed with a mean of 12 minutes and a standard deviation of 6 minutes.
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