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Your company manufactures turbine blades for engines in production batches for each type. For one type of blade, the A39T, you have an annual demand of 10,000 units. It costs you $1000 and takes four days to set up each manufacturing run. Holding (storage) cost is $0.50 per unit per year. Once production is set up, 80 units can be produced per day. Daily demand rate for the units is 60 per day.
a. What is the most economical number to produce per production run?
b. How long is each production cycle?
c. How many days, exclusive of setup time are you manufacturing A39T blades?
d. What is the annual holding cost?
Both days have sample standard deviations of 3.4. Is the average mean of size different from day 1 to day 2?
Perform the 5 steps of hypothesis testing procedure. Please present the calculations and results and Graphs. Make all possible observations and interpret the results
The probability of a bulb lasting less than 2300 is .1573. The maximum probability of a bulb lasting less than 2300 hours should be only 5%. What must change specifically? How would that change be obtained practically?
Calculate the correlation coefficient and prediction equation.
Formulate a linear programming model that can be used to determine the number of units each model that should be produced in order to maximize the total contribution to profit
David Gallano, a wine merchant, has collected opinions on grape wine quality from a sample of his customers. These customers tasted wine made from grapes grown in three regions of the country.
According to a recent survey, the probability that a passengerfiles a complaint with the Department of Transportation about aparticular U.S. airline is .000014. Suppose 100,000 passengers whoflew with this particular airline are randomly contacted..
A nutritionist conducted an experiment on memory for dreams. She wanted to test whether it really was true that eating cheese before going to bed made you have bad dreams. Over three nights, the nutritionist fed people different foods before bed.
What is the underlying variable that indirectly correlates these 2 variables? What other variables could you identify as having an indirect relationship?
The data are number of trials to learn to go left at the first turn in a maze for each of their 20 rats. Answer each of the four questions and don't forget to include a verbal statement of your interpretation of the outcomes.
The sample information is reported below. At the .10 significance level can we conclude that there is a difference in the amounts quoted?
Is there a relationship between sales and newspaper advertising? Support your answer?
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