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We know many types of data fall into a normal distribution with most of the observations falling toward the middle. However, sometiems data are outliners or data that are very different- larger or smaller- from the rest of the members of the sample. Think of an example in the real world of an outlier and discuss its effect
An industrial engineer at Lyons Products would like to determine whether there are more units produced on the afternoon shift than on the morning shift.
heights of women have a bell-shaped distribution with a mean of 156 cm and a standard deviation of 8cm using the
The old equipment? based on the results, does the new equipment appears to be effective in reducing the variation of the weights?
the common fruit fly drosophila melanogaster is the most studied organism in genetic research because it is small easy
A researcher believes that the percentage of people who exercise in California is greater than the national exercise rate. The national rate is 20%. The researcher gathers a random sample of 120 individuals who live in the California and finds tha..
The structure of a two factor study can be presented as a matrix with levels of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the mean differences that are evalua..
determine the most conservative critical value for a one sided smith-satterthwaite test at alpha0.05 given var14 n14
A consumer is contemplating the purchase of a new compact disc player. A consumer magazine reports data on the major brands. Brand A has lifetime (TA) which is exponentially distributed with m=.02; and Brand B has lifetime
The average monthly gasoline purchase for a family with 2 cars is 90 gallons. This statistic has a normal distribution with a standard deviation of 10 gallons. A family is chosen at random.
assume that adults have iq scores that are normally distributed with a mean of u105 and a standard deviation o15. find
question 1 the temperature in january is estimated to have a mean of 34 and a standard deviation of 6 in degrees
Instead, it is expected to increase by only r SDs. For a given value of x, how do we estimate the average value of y we would expect?
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