One of the military Exchange’s ware houses ships an average of 20 cases per day of soda to its stores located at forward operating locations; the standard deviation of demand for the so dais 5 cases. The cost of holding a case of so dais 30¢ per year. The cost of placing an order forth esoda with the manufacturer is \$100.The ware house operates 300days in a year. a) Suppose the ware house were to adopt a continuous review system of inventory replacement .What should the order size be?

## One of the military Exchange’s ware houses ships an average of 20 cases per day of soda to its stores located at forward operating locations; the standard deviation of demand for the so dais 5 cases. The cost of holding a case of so dais 30¢ per year. The cost of placing an order forth esoda with the manufacturer is \$100.The ware house operates 300days in a year. a) Suppose the ware house were to adopt a continuous review system of inventory replacement .What should the order size be?

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http://www.econlib.org/library/Smith/smWN1.html#B.I,%20Ch.1,%20Of%20the%20Division%20of%20Labor What does Smith mean by division of labor, and … Read More...
Using the Earnings_and_Height dataset, perform the following exercises. 1. Test whether the difference in mean height for men and women is statistically significant? Is it? 2. Does the distribution of height for men and women in the US follow the normal distribution? Answer by looking at detailed summary statistics and high order moments of the data. 3. If you were to select one al observation from the data at random, what is the probability that individual is than sixty seven inches tall? 4a. Run the following regressions and interpret the coefficient on the height variable. I. Regress earnings on height II. Regress log of earning on height III. Regress log earnings on log of height 4b. which model is preferred? 5a. Regress log of earnings on height and height² 5b. is there a non-linear relationship between height and log earnings? 5c. Give a-formula for the effect of a change in height on the change in log earnings. 6. Create the following variables: I. A dummy variable for being-Hispania. ii. A dummy variable for being black. iii. A dummy variable for being female. iv. A set of region dummy variables. 7a. Run the following regression separately by gender: Regress log earnings on height education age black Hispanic 7b. Is there a difference in the estimated effect of height on earnings by gender? 8. Run the following regression: Regress log earnings on height education age black Hispanic female and a set of region indicators, and perform the following tests (and interpret the results): I. Test for the equality of coefficients on the Hispanic and black variables. ii. Test the hypothesis that the coefficients on female, black and Hispanic are all zero. 9a. Run the following regression for men: Regress log earnings on height height² education age black Hispanic and a set of region indicators. Is there evidence of a non-linear relationship between height andlog earnings for men? 9b. Estimate the effect of a one inch increase in height on log earnings for a man starting an average height) 10. Discuss the following threats to internal validity regarding the model in (8): I. measurement error focusing on earnings and height) ii. Omitted variables bias

## Using the Earnings_and_Height dataset, perform the following exercises. 1. Test whether the difference in mean height for men and women is statistically significant? Is it? 2. Does the distribution of height for men and women in the US follow the normal distribution? Answer by looking at detailed summary statistics and high order moments of the data. 3. If you were to select one al observation from the data at random, what is the probability that individual is than sixty seven inches tall? 4a. Run the following regressions and interpret the coefficient on the height variable. I. Regress earnings on height II. Regress log of earning on height III. Regress log earnings on log of height 4b. which model is preferred? 5a. Regress log of earnings on height and height² 5b. is there a non-linear relationship between height and log earnings? 5c. Give a-formula for the effect of a change in height on the change in log earnings. 6. Create the following variables: I. A dummy variable for being-Hispania. ii. A dummy variable for being black. iii. A dummy variable for being female. iv. A set of region dummy variables. 7a. Run the following regression separately by gender: Regress log earnings on height education age black Hispanic 7b. Is there a difference in the estimated effect of height on earnings by gender? 8. Run the following regression: Regress log earnings on height education age black Hispanic female and a set of region indicators, and perform the following tests (and interpret the results): I. Test for the equality of coefficients on the Hispanic and black variables. ii. Test the hypothesis that the coefficients on female, black and Hispanic are all zero. 9a. Run the following regression for men: Regress log earnings on height height² education age black Hispanic and a set of region indicators. Is there evidence of a non-linear relationship between height andlog earnings for men? 9b. Estimate the effect of a one inch increase in height on log earnings for a man starting an average height) 10. Discuss the following threats to internal validity regarding the model in (8): I. measurement error focusing on earnings and height) ii. Omitted variables bias

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For a balanced wye load with a phase voltage of 120 Vrms, a phase current of 30 Arms and a phase difference of 6° between voltage and current, what is the total average power? (2 decimals in kW)

## For a balanced wye load with a phase voltage of 120 Vrms, a phase current of 30 Arms and a phase difference of 6° between voltage and current, what is the total average power? (2 decimals in kW)

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The element X has two naturally occurring isotopes. The masses (amu) and % abundances of the isotopes are given in the table below. The average atomic mass of the element is __________ amu. A) 30.20 B) 33.20 C) 34.02 D) 35.22 E) 32.73

## The element X has two naturally occurring isotopes. The masses (amu) and % abundances of the isotopes are given in the table below. The average atomic mass of the element is __________ amu. A) 30.20 B) 33.20 C) 34.02 D) 35.22 E) 32.73

B) 33.20
b. On average, how many doctors are necessary to evaluate soldiers at any given time?(Assume doctors don’t work part time for deployment processing,so round your answer if necessary.)

## b. On average, how many doctors are necessary to evaluate soldiers at any given time?(Assume doctors don’t work part time for deployment processing,so round your answer if necessary.)

Numberofdoctors:8
4. The average life of a certain type of motor is 10 years, with a standard deviation of 2 years. If the manufacturer is willing to replace only 3% of the motors that fail, how long a guarantee should he offer? Assume that the lives of the motors follow a Normal distribution

## 4. The average life of a certain type of motor is 10 years, with a standard deviation of 2 years. If the manufacturer is willing to replace only 3% of the motors that fail, how long a guarantee should he offer? Assume that the lives of the motors follow a Normal distribution

μ=10, σ=2 P(X<x) = 0.03 x=6.23841 years (from Minitab)