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Linear programming problems
1) Problem (Maximization)?Constant 1 X + XY + Y ≥ 12Constant 2 X - 2Y ≤ 20Constant 3 X + 3Y = 48Constant 4 X + Y + Z ≤ 150a. Constant 1b. Constant 2c. Constant 3d. Constant 4e. None of these
2) Consider the following linear programming problem:Maximize subject to:5X + 6Y4X + 2Y 4201X + 2Y 120All variables 0
3) Which of the following points (X,Y) is feasible?a. (50,40)b. (30,40)c. (60,30)d. (90,20)e. None of these
If you have multiple regression output with 2 independent variables and R-Square is .9682, what does R-Square indicate?
X is a continuous random variable uniformly distributed on [20, 45] that is, the end points c = 20 and d = 45.
Find out the operating characteristics for this system.
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
Compute an F-statistic for each linear construct and determine its significance. Also, state what questions each of these contrasts address.
In an analysis of variance problem involving 3 treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is:
Create raw score predictions on criterion variable for persons with Z scores on predictor value of -2,-1,0,+1,+2.
If the standard deviation is $89.46, find the probability that a randomly selected customer spends between $550.67 and $836.94.
What is the probability that a randomly chosen eight-week old baby smiles between 2 and 18 seconds?
Increasing the confidence-interval level from .95 to .99
There were 3 defectives in the first batch and 5 in the second. Find a 95% confidence interval for the difference in the proportion of defectives.
Explain the effect outliers can have on the analysis of the center of this data set. Based on the box-plot and histogram you created for problem 1, do there appear to be any outliers?
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