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You wish to conduct an ANOVA (one way/omnibus). In order to insure you have enough power to detect differences in your sample, you need to run a power analysis in G*Power. Assume that you are expecting a medium effect size, α = 0.05, and a minimum power of 0.80. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How many data points should exist in each group?
Compare a three-month moving average forecast with an exponential smoothing fore-cast for a = 0.2. Which provides the better forecasts using MSE as the measure of model accuracy?
in a soccer game 35 of the players use normal cleats a1 40 of the players use newer cleats a2 and 25 use old cleats a3.
Use a 0.05 significance level to test the claim of a cereal lobbyist that the mean for all cereals is less than 0.3g.
When 6 telephones are received, all of them are free of defects. What is the written description of the complement of the above event?
What is the difference between expected value and mean? In other words, what would be difference between the expected value of something, as opposed to the mean of that something? And how do I know when I should be finding the expected value and n..
Tests it and then puts it to one side. this is repeated 5 times. What is the probabilty that none of the five tested were faulty?
suppose that 14 of all steel shafts produced by a certain process are nonconforming but can be reworked rather than
British airways employs you as cunsultant to analyse the departure time of flight leaving Cape Town International Airport. The acceptance time frame for departures is 0 for on-time plus or minus 15 minutes. During a typical week the following flights..
Compute the probability for the given frequency distribution.
a psychologist has developed a new method designed to help people taking an exam. the method requires the person to
a recent survey asked adults about their beliefs about premarital sex and whether they thought birth control should be
Can you provide some pros and cons of using descriptive and inferential statistics to make managerial decisions.
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