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Characteristics of lead users. Refer to the Creativity and Innovation Management (February 2008) study of lead users of children's computer games. Recall that the researchers modeled lead-user rating (y, measured on a 5-point scale) as a function of gender (x1 = 1 if female, 0 if male), age (x2, years), degree of centrality (x3, measured as the number of direct ties to other peers in the network), and between-ness centrality (x4, measured as the number of shortest paths between peers). The least squares prediction equation was
yˆ = 3.58 + .01x1 - .06x2 - .01x3 + .42x4
(a) Compute the predicted lead-user rating of a 10-year-old female child with five direct ties to other peers in her social network and with two shortest paths between peers.
(b) Compute an estimate for the mean lead-user rating of all 8-year-old male children with 10 direct ties to other peers and with four shortest paths between peers.
Among 100 vacuum tubes tested, 41 had lifetimes of less than 30 hours, 31 had lifetimes between 30 and 60 hours, 13 had lifetimes between 60 and 90 hours, and 15 had lifetimes of greater than 90 hours. Are these data consistent with the hypothesis..
She obtains a random sample of 34 students who do not plan to take a tutor and a random sample of 38 students who do plan to take a tutor and obtains the following results.
So where can we start the internal analysis? Which of the capabilities is most likely to meet the criteria for a rare, inimitable, sustainable and valuable competitive advantage of those in your employer's industry? Where do you stand on that..
I calculate the residuals from a regression line predicting weight from height. I nd that all the residuals are negative. This is impossible; I must have made a mistake in my calculations.
What is the probability that all three lines experience a surface finish problem between 20 and 40 hours of operation? Why is the joint probability density function not needed to answer the previous questions?
determine the null and alternative hypotheses b explain what it would mean to make a type i error and c explain what it
in exercise 7 a sales manager collected the following data on xannual sales and yyears of experience. the estimated
let x be the amount of time in minutes that a particular san francisco commuter must wait for a bart train. suppose
What is the probability that a randomly selected respondent has a goal of getting rich?
Given this, compute the following probabilities for demand during lead time(DDLT).
Joe wants to sell his car. He receives one offer each month and must decide immediately whether to accept the offer. Once rejected, the offer is lost. The possible offers are $600, $800, and $1,000, made with probabilities 5/8, ¼ and 1/8 respectiv..
What are the relevant hypotheses? Perform an appropriate parametric statistical procedure to test these hypotheses and briefly explain your results (a level = 0.05).
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