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Dangers of not looking at a plot. Table 4.1 (page 189) presents four sets of data prepared by the statistician Frank Anscombe to illustrate the dangers of calculating without first plotting the data.
(a) Use x to predict y for each of the four data sets. Find the predicted values and residuals for each of the four regression equations.
(b) Plot the residuals versus x for each of the four data sets
(c) Write a summary of what the residuals tell you for each data set and explain how the residuals help you to understand these data.
waiters at finegolds restaurant and lounge earn most of their income from tips. each waiter is required to tip-out a
The width of a confidence interval will be:
A research concludes that the number of hours of exercise per week for adults is normally distributed with a mean of 3.5 hours and a standard deviation of 3 hours. Show all work. Just the answer, without supporting work, will receive no credit. (a..
define population and sampling unit for selecting a random sample in each of the following cases. a hundred voters from
The light used in the operation theater of a hospital has two bulbs. One bulb is sufficient to get the necessary lighting.
A grab bag contains 10 $1 prizes, 7 $5 prizes, and 3 $20 prizes. three are chosen at random. find the probability that exactly two $20 prizes are chosen?
Describe what the researcher must do if one of the requirements is not met and give illustrations.
What percent of the sample means will be greater than 162 seconds? What percent of the sample means will be greater than 153 but less than 162 seconds?
Suppose that n enemy aircraft are shot at simultaneously by m gunners, that each gunner selects an aircraft to shoot at independently of the other gunners.
Assume the standard deviation of the distribution is 2.5 pounds. Find the probability that the mean of a sample of 55 families will be between 17 & 18 pounds.
if you could stop time and live forever in good health what age would you pick? answers to this question were reported
The average salary for graduates entering the actuarial field is $40,000. If the salaries are normally distributed with a standard deviation of $5,000, find the probability that An individual graduate will have a salary over $45,000.
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