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Administration of the large university wishes to evaluate what proportion of their full time engineering students are female. If she gets random sample of a 100 engineering students from day campus of which 30 students are female what would her confidence interval be if she requires the confidence level of 80%?
a) Determine the point estimate (p) for percentage of engineering students that are female?
b) Determine the suitable distribution (z or t)? and its numerical value is?
c) Determine the 80% Confidence Interval based upon above data?
A particular fast food restaurant is located near a University. 40% of the customers are students. Students prefer the spicier items.
A store manager wishes to find out whether there is a relationship between the age of her employees and the number of sick days they take each year. The data for the sample are shown below:
Determine the probability that no female are hired. Determine the mean and standard deviation of X.
Find out a 95% confidence interval for the proportion p of adults who have a great deal of trust and confidence in the executive branch of government.
See if there is a difference in their means and variances.
Team Sports, Inc. sells sporting goods to high schools and colleges via a nationally distributed catalog. Management at Team Sports estimates they will sell 2,000 Wilson Model A2000 catcher's mitts next year.
If you arbitrarily grab 2 socks out of drawer determine the probability that you grab a matching pair?
The diameters of grapefruits in certain orchard are normally distributed with mean of 6.95 inches and a standard deviation of 0.75 inches. Show all work.
Is it reasonable typical worker does not miss any days during a pay period?
According to a recent study, 38% of all women will suffer a hip fracture because of osteoporosis by the age of 85. If six women aged 85 are randomly selected, what is the probability that a) None of them will suffer (or has suffered) a hip fractur..
Assume that female students' heights are normally distributed with a mean given by µ = 67.2 in. and a standard deviation given by σ = 3.6 in.
Compute mean absolute percentage error (MAPE) of the forecasts.
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