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The Tycron Company produces three electrical products-clocks, radios, and toasters. These products have the following resource requirements: Resource Requirements Product Cost/Unit Labor Hours/Unit Clock $ 7 2 Radio 10 3 Toaster 5 2 The manufacturer has a daily production budget of $2000 and a maximum of 660 hours of labor. Maximum daily customer demand is for 200 clocks, 300 radios, and 150 toasters. Clocks sell for $15, radios, for $20, and toasters, for $12. The company desires to know the optimal product mix that will maximize profit. Formulate and solve a linear programming model for this problem.
He argues that the regression effort says people who perform very poorly in their previous job tend to perform well in their next job. Is this what the regression effect says? Explain.
As a part of their testing program Sony tests samples of 25 batteries. What can you say about the shape of the distribution of sample mean?
Let A be the event that a randomly chosen employee has a college degree and B the event that the chosen employee's income is more than $50,000.
Use the normal distribution of women's total cholesterol levels in Exercise 9 for which the mean is 186 milligrams per deciliter and the standard deviation is 37.2 milligrams per deciliter.
Describe a series of steps that could be used to write fractions like 3/4, 2/5, 5/6, 11/8, 3/10, 19/15, 7/20, 8/25, 9/40, or 17/50 in decimal form.
Compute mean absolute percentage error (MAPE) of the forecasts.
A manufacturer claims that the mean lifetime, , of its light bulbs is 49 months. The standard deviation of these lifetimes is 9 months. Seventy bulbs are selected at random, and their mean lifetime is found to be 46 months.
If the airline sells 160 tickets for a flight that has only 155 seats, what is probability that a seat will be available for every person holding a reservation and planning to fly?
He is twice as likely to visit city X than the other city. Obtain the transition probability matrix. Also determine the proportionate visits by him to each of the cities in the long run.
Which variable would you use as the explanatory variable and which as the response variable? Why? What would you expect to see in the scatterplot? Discuss the likely direction, form, and strength.
The width of a confidence interval is equal to twice the value of the margin of error. Explain your answer. What is the first step in hypothesis testing?
A sample of 60 night-shift workers showed that the mean number of units produced was 351. At the .05 significance level, is the number of units produced on the night shift larger?
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