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A physicians' group is interested in testing to determine whether more people in small towns choose a physician by word of mouth in comparison with people in large metropolitan areas. A random sample of 1,000 people in small towns reveals that 850 chose their physicians by word of mouth; a random sample of 2,500 people living in large metropolitan areas reveals that 1,950 chose a physician by word of mouth.
Conduct a one-tailed test aimed at proving that the percentage of popular recommendation of physicians is larger in small towns than in large metropolitan areas. Use α = 0.01.
Prepare a histogram for the data on high temperatures and comment on the shape of the distribution as observed from these graphs.
Determine which of the four levels of measurement is most appropriate and how much money does the average senior male at Normal Community High School have in his pockets at the end of the school day on Friday
sample surveys conducted in a large county in a certain year and again 20 years later showed that originally the
suppose that certain tool bits are package 20 to a box and the following sampling plan is used. a sample of three tool
obtain the general solution of a non-homogeneous ode y2y-5y-6y100e3x 18e-x. verify your solutions using matlab.yyhyp
Determine the range of values containing 50% of the population of x. From a large sampling (N>5000), we find that x has a mean value of 5.2 units and a standard deviation of 1.0 units.
The management at Black Angus is considering hiring 8 additional servers. Currently 12 servers are serving 4 tables each per hour. Servers make $11.25 on overtime per hour.
determine the sample proportions.bdecide whether using the two-proportions z-procedures is appropriate.if soalso do
Did you find any outliers on the dependent variables that were due to errors of coding? If so, what and why? How would you correct an error of coding?
Estimate mean and variance using the method of moments estimators - Find an unbiased estimate for variance and calculate the standard deviation and variance for this sample.
What is the probability that a simple random sample of auto insurance policies will have a sample mean within $25 of the population mean for each of the following sample sizes: 30, 50, 100, and 400.
A ski resort collects data on the number of days
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