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In a particular February, the mean cost for an airline round-trip with a discount fare was $258. A random sample of 15 round-trip discount fares during the month of March provided the following data:
310 260 265 255 300 310 230 250 265 280 290 240 285 250 260
a. Using α = .05, test to see whether the mean round-trip discount fare has increase in March. What is your conclusion?
b. What is the p-value?
Automobile manufacturers are interested in the difference in reaction times for drivers reacting to traditional incadescent lights and to LED lights.
One reads that a business school graduate with an undergraduate degree earns more than a high school graduate with no additional education, and a person with a master's degree or a doctorate earns even more.
Construct a 95% confidence interval for the proportion of red candies. Using your same data determine if the proportion of green candies in a package of M&Ms is differen than what is claimed by the company.
Determine the point estimate and 95% confidence interval for the mean family dental expenses of all employees of the company.
Can you please describe what I need to do to complete this? I do not understand how to plot the figures within the spreadsheet or calculate them.
How would managers find benefit in helping them to obtain valuable information in problem identification research. Discuss whether these data are secondary or primary and justify your answers
Each patient also submits the blood sample and their glucose tolerance status is determined. Determine the sensitivity of screening test?
Roll a die and record the count of spots on the up face: P(1) = 0, P(2) = 1/6, P(3) = 1/3, P(4) = 1/3, P(5) = 1/6, P(6) = 0.
According to a report by Scarborough Research, the average monthly household cellular phone bill is $73. Suppose local monthly household cell phone bills are normally distributed with a standard deviation of $11.35.
Suppose that combined verbal and math SAT scores follow a normal distribution with mean 896 and standard deviation 174. Suppose further that Peter finds out that he scored in the top 3% of SAT scores. Determine how high Peter's score must have bee..
(a) Write the fitted regression equation, (c) What is your conclusion about the slope.
Assuming the manufacturer's claim is true, what is the approximate probability of observing a sample mean of 52 months or less?
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