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Find the mean and the median for each list of values:
a. 64, 68, 72, 76, 80, 86
b. 10, 6, 2, 7, 100
c. 30, 10, 40, 30
Explain the difference between regression and correlation using one of the examples below. What information do we obtain from regression that is different from the information we obtain from correlation? Be as specific as you can!
in a hypotheses of h0 mu 7 against the alternative ha mu lt 7 from a normal population with known standard deviation
Run an analysis of variance by estimating the missing value. Use a = .05. Make treatment comparisons by using Fisher's least significant difference, with a = .05.
1. nbspif the mean number of hours of television watched by teenagers per week is 12 with a standard deviation of 2
Suppose that the average annual salary for a worker in the United States is $30,000 and that annual salaries for Americans are normally distributed with a standard deviation equal to $7,000. Determine the following:
according to an almanac 60 of adult smokers started smoking before turning 18 years olda compute the mean and standard
Write the definition of a function named quadratic that receives three double parameters a, b, c. If the value of a is 0 then the function prints the message "no solution for a=0" and returns. If the value of "b squared" - 4ac is negative
If you were to roll a single die 10 times, the result of each roll would be __________. A) Mutually exclusive of the other nine rolls B) Proportional to the other nine rolls C) Dependent upon the other nine rolls D) Independent of the other nine roll..
Draw a sketch of the standard normal distribution curves, one for the current process and another one for the recentered process. Label the spec limits and shade the area of the curve that corresponds to your answer.
when ben looks at the keyboard he sees fingerprints on the following lettersa e f g l o r v yhow many different
Suppose an engineer proposes a new model that will weigh 3100 pounds. What could we expect the miles per gallon in the city performance would be?
You take a random sample of 100 pins from the lot supplied by the vendor and test them. You find 8 of them defective. What is the 95% confidence interval for percentage defective in the lot?
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