Reference no: EM131087136
Econ 310, Spring 2014- Week 13:
Problem 1-
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Table 1 - Statistics for 3 treatment
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Statics
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1
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2
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3
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n
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5
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5
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5
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x-
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10
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15
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20
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s2
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50
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50
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50
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(1) Compute the ANOVA table
(2) Test whether the 3 treatment have the same mean.
Problem 2- Attempting to analyze the relationship between advertising(X) and sales(Y), the owner of a furniture store recorded the monthly advertising budget(in thousand) and the sales(in millions) for a sample of 12 months. The data are summarized as follows: x¯ = 50, y¯ = 10.8, sx = 5.6, sxy = 56.7, s∈ = 18.3
1. Calculate the leat squares line and interpret the coefficients.
2. Determine the Standard error of the estimate.
3. Estimate a confidence interval for β1 with 95% confidence.
4. Test H0: β1 = 0, H1: β1 ≠ 0 at 5% significance level.
5. Calculate and interpret the coefficient of determination.
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Suppose the sum of the resulting sample ranges
: Subgroups of power supply units are selected once each hour from an assembly line, and the high-voltage output of each unit is determined.
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Will this system meet the requirements
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Guerilla marketing-permission marketing
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What do you expect to happen in pre-trial negotiations
: What will happen if the case goes to trial after the defendant (injurer) offers to settle for $10,001? Is the plaintiff (victim) better off accepting this offer or going to trial - What do you expect to happen in pre-trial negotiations?
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Calculate and interpret the coefficient of determination
: Attempting to analyze the relationship between advertising(X) and sales(Y), the owner of a furniture store recorded the monthly advertising budget(in thousand) and the sales(in millions) for a sample of 12 months. Calculate and interpret the coeff..
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Pricing or placement in the market
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What is the resolution in degrees per state
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A manufacturer of dustless chalk instituted
: A manufacturer of dustless chalk instituted a quality control program to monitor chalk density. The sample standard deviations of densities for 24 different subgroups, each consisting of n = 8 chalk specimens, were as follows:
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Linear programming model for the problem
: The selling price of casting X is Rs 300 per unit and that of Y is360 per unit. There are no limitations on the number of X and Y casting that can be sold. The company wishes to maximize its profit. Formulate a linear programming model for the pro..
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