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Question: Fienberg (1980) says, "We know of no justification whatsoever for applying standard multivariate methods to weighted data the automatic insertion of a matrix of sample-based weights into a weighted least-squares analysis is more often than not misleading, and possibly even incorrect." Which approach to regression inference does Fienberg advocate? What is your reaction?
electric charge is distributed over the rectangle 1 x 2 0 y 2 so that the charge density at x y is sx y 2xy y2
1.i have three groups for which i want to perform an anova. they have standard deviations s1 2.5 s2 3.4 s3 6.4 and
q1. the population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a
in a typical sports playoff series two teams play a sequence of games until one team the eventual winner has won four
Identify the parameter when converting a problem statement from verbal to numerical? Why do null and alternative hypotheses have to be mutually exclusive?
For the growth-oriented funds the mean increase is $1,090 with a standard deviation of $55. At the 0.01 significance level is there a difference in the mean yield of the two funds?
Find a 98% confidence interval for the difference in the population proportions for the two age groups.
What is the purpose of the F test in a multiple regression? What is a qualitative independent variable? How would we/what technique would we use to include a qualitative independent variable in a regression model.
study the following minitab output from a regression analysis to predict y from x.a. what is the equation of the
A particle moves in the plane according to a two-dimensional symmetric random walk (see p. 75). That is, the particle has a probability equal to 1/4 of moving from its current position, (Xn,Fn), to any of its four nearest
The average price of a personal computer is 949 assuming that the prices are normally distributed with a standard deviation of 100 what is the price that corresponds to the least expensive 10%.
Fill in the P (X=x) values in the table to give legitimate probability distribution for the discrete random variable X, whose possible values are -4, 1,2,3 and 6.
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