6. Elon Corporation manufactures parts for an aircraft company. It uses a computerized numerical controlled (CNC) machining center to produce a specific part that has a design (nominal) target of 1.275 inches with tolerances of ±.024 inch. The CNC process that manufacturers these parts has a mean of 1.281 inches and a standard deviation of 0.008 inch. Determine the proportion of parts outside the specifications. Assume Normal Distribution.

## 6. Elon Corporation manufactures parts for an aircraft company. It uses a computerized numerical controlled (CNC) machining center to produce a specific part that has a design (nominal) target of 1.275 inches with tolerances of ±.024 inch. The CNC process that manufacturers these parts has a mean of 1.281 inches and a standard deviation of 0.008 inch. Determine the proportion of parts outside the specifications. Assume Normal Distribution.

P(defect) = P(X<1.251) + P(X>1.299) = P(X<1.251) +1- P(X<1.299) = … Read More...
CIV ENG 280 Computer-based Engineering Analysis Assignment for Lab 5 1. The number of annual precipitation days of one-half of the 50 largest U.S. cities is listed below. Find the mean, mode, median, range, standard deviation and variance of the data. 135 128 78 116 77 111 79 44 97 116 123 88 102 26 82 156 133 107 35 112 98 45 122 125 2. Please go through the steps described in the instruction manual (from page 112 to 136). Your lab report should include the following exercises in the manual. a) Binomial distribution (Page 112) b) Poisson distribution (page 119) c) Normal distribution (page 125) d) t distribution (page 132) 3. A math exam contains 10 multiple-choice questions, each with four choices. Since you have not spent any time preparing the exam, you decided to guess at each question by flipping a coin twice (i.e., two heads for A, head and tail for B, tail and head for C, two tails for D). Let X = the number of questions answered correctly. a) Plot the probability mass function (pmf) of the random variable X. (using the chart type “column”). b) If you have to get at least 5 questions answered correctly to pass the exam, what is the probability that you will pass.

## CIV ENG 280 Computer-based Engineering Analysis Assignment for Lab 5 1. The number of annual precipitation days of one-half of the 50 largest U.S. cities is listed below. Find the mean, mode, median, range, standard deviation and variance of the data. 135 128 78 116 77 111 79 44 97 116 123 88 102 26 82 156 133 107 35 112 98 45 122 125 2. Please go through the steps described in the instruction manual (from page 112 to 136). Your lab report should include the following exercises in the manual. a) Binomial distribution (Page 112) b) Poisson distribution (page 119) c) Normal distribution (page 125) d) t distribution (page 132) 3. A math exam contains 10 multiple-choice questions, each with four choices. Since you have not spent any time preparing the exam, you decided to guess at each question by flipping a coin twice (i.e., two heads for A, head and tail for B, tail and head for C, two tails for D). Let X = the number of questions answered correctly. a) Plot the probability mass function (pmf) of the random variable X. (using the chart type “column”). b) If you have to get at least 5 questions answered correctly to pass the exam, what is the probability that you will pass.

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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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How do differences of culture between countries or within a country affect the operations of your chosen organization or of firms in your chosen industry sector? (10 marks) UNIT 5.The Socio-Cultural Environment Elements of culture: language, religion, values, customs, education, diversity.cultural changesBusiness ethics and the concept of corporate social responsibility.Aging or age distribution, population size changes, demographic changes, ethical argument in favour of CSR

## How do differences of culture between countries or within a country affect the operations of your chosen organization or of firms in your chosen industry sector? (10 marks) UNIT 5.The Socio-Cultural Environment Elements of culture: language, religion, values, customs, education, diversity.cultural changesBusiness ethics and the concept of corporate social responsibility.Aging or age distribution, population size changes, demographic changes, ethical argument in favour of CSR

The number of companies functioning globally is mounting continually. The … Read More...