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Suppose you are planning another experiment like the one in Exercise 9.20. Based on that data: (1) you are willing to assume that the standard deviation of the difference in means is 1.5°F, and (2) you anticipate that the average temperature in New York tends to be 3°F lower than the corresponding tem- perature in Washington on the same day.
a. For such a one-sided paired t-test test, how many test days do you need to obtain 95% power at the specified alternative?
b. How many do you need for 99% power?
c. How many do you need for 80% power?
it is estimated that 25 of the athletes competing in a large tournament are users of an illegal drug to enhance
Perform a test to determine whether there is sufficient evidence to support a claim of a linear correlation between two variables. Find the critical values of r given the number of pairs of data n and the significance level alpha.
What is a "success" in this situation and what is probability of success on a single trial?
a shipment of 250 netbooks contains 3 defective units. determine how many ways a vending company canbuy three of these
the average age of amtrak passenger train cars is 19.4 years. if the distribution of ages is normal and 24 of the cars
How large a sample size will need to be selected if we wish to have a 99% confidence interval with a margin for error of .10 oz?
suppose that certain electronic components have lifetimes that are exponentially distributed fttau 1tauexp-ttaut gt 0.
there are 30 tennis balls in a box of which 18 are new and have never been used. three of the 30 balls are selected at
Do the independent variables correlate statistically significantly and practically with the dependent variable?
If an analysis of variance is used for the following data, what would be the effect of changing the value of M1 to 20?
1) What is the best way to handle manufacturing overhead costs in order to get the most timely job cost information? 2) At the end of the year, manufacturing overhead has been over applied. What occurred to create this situation?
in a game you have a 20 chance of winning 20 a 10 chance of winning 15 a 20 chance of winning 10 and a 50 chance of
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