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A company produces two products that are processed on two assembly lines. Assembly line 1 has 100 available hours, and assembly line 2 has 42 available hours. each product requires 10 hours of processing time on line 1, while on line 2 product 1 requires 7 hours and product 2 requires 3 hours. The profit for product 1 is $6 per unit, and the product 2 is $4 per unit.
A. Formulate a linear programming model for this problem.
B. Solve this model by using graphical analysis.
The Wilcoxon rank sum of the ranks for group and The value of the Wilcoxon signed rank statistic
In order not to violate the requirements necessary to use the chi-square distribution, each expected frequency in a goodness of fit test must be:
What is the expected value and variance for the number of contacts in eight attempts?
Determine critical value for boundary of the rejection region (i.e., Zα).
In other words, both variables have the same mean but different standard deviations. Draw rough sketches of the two normal curves on the same graph.
A research analyst regresses the number of calls for service (Y) on the Fahrenheit temperature at 4:00 in the afternoon (X). The regression equation finds: Y = 62 + 2.4 X with an r 2 of .67
British scientists have developed a 15 minute brain scan they hope could be used to detect autism in children. Autism and related disorders affect up to 7 out of every 1000 individuals.
For a regional survey of suburban households to obtain data on television viewing habits, a statistical sample of suburban areas is first selected. Within the chosen areas, statistical samples of whole blocks are selected; and within the selected..
Compute the mean, median, and mode. Which of these measures of central tendency do you think most accurately describes the lifestyle variable you are looking at?
Construct ogive cure and numerical measures for the discrete data.
The estimated salary range is $4,500, the margin of error should be $100 and the desired level of confidence is 95%.
Determine the mean and standard deviation of following probability distribution.
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