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In our example of research on lipstick, where E = $2 and S = $29, what sample size would we require if we desired a 99 percent confidence level? What about if we keep the 95 percent confidence level, but decide that our acceptable error is $4?
Don't quite understand the concept of computing confidence intervals. How would confidence intervals determine sampling design and data collection for information gathered.
What is the opportunity loss of spending 4 hours per week on average studying for the exam when the exam turns out to be easy?
A medical team wants to determine which form of mastectomy is most effective for prolonging life for women with breast cancer: radical mastectomy (removal of breast, chest muscles, and lymph nodes), simple mastectomy (removal of the breast only).
For the normal distribution curve with mean of 19 and a standard deviation of 6, which range of the variable shows an area under the curve corresponding to a probability of approximately 99.7%?
Develop a research question, testable hypothesis, confidence level, and degrees of freedom. Draw the appropriate conclusions with respect to female and male human resource manager salary levels.
A local health center noted that in a sample of 400 patients 80 were referred to them by the local hospital. What size sample would be required to estimate the proportion of hospital referrals with a margin of error of 0.04 or less at 95% confiden..
A statistic practitioner working for Major League Baseball determined the probability that the hitter will be out on ground balls is .75. in a game where there are 20 ground balls, find the probability that all of them were out.
At a 5% level of significance, is there evidence to conclude that the mean life is different from 375 hours?
Three children living, has assets of $156,000, has an index of health status of 141, and has 2.5 social activities a week on the average?
Determine the margin of error in estimating the population mean. a sample of 68 college students yields a mean annual income of $3248.
Certain stocks are recommended each month by a monthly magazine. If 40% of the stocks recommended advance at least 20%, what is the probability that of the five stocks most recently recommended
Do these data provide suffiient evidence to establish that the site is acceptable? Use = 0:05. What are the consequences of Type I and Type II errors? Which error is more expensive to make?
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