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Information regarding random samples of annual salaries (in thousands of dollars) of doctors in three different specialties is shown below. Pediatrics Radiology Pathology
Sample size 12 10 11Average salary 120 186 240Sample variance 16 18 20
c. Show the complete ANOVA table for this test including the test statistic.d. The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
Given the following ordered data pairs (x, y), compute the value of the linear correlation coefficient r: (2,6) (3,0) (5,15) (5,5) (10,2).
If the mean number of serious accidents per year in a large factory (where the number of employees remains constant) is five, find the probability that in the current year there will be:
The current advertising campaign for a major automobile brand would be changed if fewer than 70 percent of the consumers like it.
Define irregular component in time series and explain the differences between other components as well as its effects.
A random sample of size 25 is taken from a normal population having a mean of 80 and a standard deviation of 5. A second random sample of size 36 is taken from a different normal population having a mean of 75 and a standard deviation of 3.
How large a sample should you take if you want to be 95% confident of the results and you want the error of the confidence interval to be no more than .05?
If 15 golfers check in using this process, the expected number of players who will actually show up is ______; the variance for the number of players who actually show up is ______?
Construct a 95% confidence interval estimate of their mean weight.
The university data center has two main computers. The center wants to examine whether computer 1 is receiving tasks that require processing times comparable to those of computer 2.
Sample of six car washes averaged $5.70 and had the sample standard deviation of $1.30. Suppose the normal population, use critical value method to test claim at a= 0.05.
Medical research team studied the ages of patient who had strokes caused by stress. Ages of 34 patients who suffered stress strokes. Create frequency distribution for these ages.
Let X denote number of students which were on bus carrying this arbitarily selected student. One of the 4 bus drivers is also arbitarily selected. Calculate expectations and variances of X.
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