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A particular fast food restaurant is located near a University. 40% of the customers are students. Students prefer the spicier items. For example, a student customer will ask for extra hot sauce 75% of the time whereas a non-student will ask for extra hot sauce only 30% of the time. While waiting in line you observe a customer ask for extra hot sauce. What is the probability that this customer is not a student? The manager claims that about half the customers ask for extra hot sauce. Do you agree?
Find out 90% confidence interval for the population average µ of the percentage of hospitals providing at least some charity care.
Review the Christian year pie chart and write a summary in which you (a) describe the significance of the holy days on the chart.
The average height of american woman is distributed normally, with a mean of 63.5 inches and a standard deviation 2.5 inches. Approximately what percentage of american women are taller than 58.5 inches,
A consumer survey indicates that the average household spends m=$155 on groceries each week. The distribution of spending amounts is normal with a standard deviation of o=$25. Based on this distribution
The number of widgets produced by 9 employees in an eight hour shift is recorded as: 135, 120, 116, 119, 121, 125, 135, 131, 123. What is the median of the number of widgets produced presented above?
A random sample of 15 customers is selected, and the results are as follows: 8.02 4.08 5.79 8.73 5.47 5.64 8.01 10.49 8.35 5.9 9.66 9.91 3.82 6.68 6.17 a) calculate arithmetic mean, median, mode, first quartile and third quartile.
Describe the population of interest and calculate the numerical value of the statistic that that the EPA will use to estimate p. Construct a 95% confidence interval for the proportion of Americans who live in neighborhoods with acceptable levels of ..
A real estate builder wishes to determine how house size (house) is influenced by family income (income), family size (Size) and education of the head of household (School).
Utilizing form of Regression method which would give you highest performing model to forecast Sales. Utilizing your model forecast the sales
For the binomial sample information summarized below, indicate whether the sample size is large enough to use the large sample approximation to construct a confidence interval for p.
Elucidate this data use an appropriate statistical test to explain whether the population mean TV "on" time has declined in the past decade.
If sample mean is M=44. Is this sufficient to demonstrate significant effect? Again assume a Two-tailed test with a=0.05.
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