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1. R has built-in datasets. One such dataset is called trees. Run the following code to access that dataset: data(trees). 2. Use the head() command to see the first 6 observations. 3. How many observations and variables are in the dataset? 4. Use attach() so that you do not have to use two-level names to call the variables. 5. Find the mean, median, variance, standard deviation of each of the three variables, Height, Girth, and Volume using the individual commands (mean(), var(), etc.) 6. Use the command summary() to find the same basic summary as the individual commands. For syntax help, type ?summary for the help file. 7. Now use the stat.desc() command in the pastecs package for all three variables. 8. Create histograms and boxplots of all three variables (either separate or 3 per panel). Briefly describe the graphs. 9. Create a scatterplot (with points only) of Girth and Height, placing Girth on the x-axis and Height on the y-axis. Briefly describe the graph (the main things to mention is whether or not there appears to be an association and if there is, state whether positve or negative). 10. Read in the dataset from the class website called farmacres.csv. Use read.table(), read.csv() or use the Import Dataset options in the Environment Window. Call the dataset farm. 11. Use the histogram() command in the Lattice package to create a histogram of the acres by stratum. Briefly describe the distributions. 1

## 1. R has built-in datasets. One such dataset is called trees. Run the following code to access that dataset: data(trees). 2. Use the head() command to see the first 6 observations. 3. How many observations and variables are in the dataset? 4. Use attach() so that you do not have to use two-level names to call the variables. 5. Find the mean, median, variance, standard deviation of each of the three variables, Height, Girth, and Volume using the individual commands (mean(), var(), etc.) 6. Use the command summary() to find the same basic summary as the individual commands. For syntax help, type ?summary for the help file. 7. Now use the stat.desc() command in the pastecs package for all three variables. 8. Create histograms and boxplots of all three variables (either separate or 3 per panel). Briefly describe the graphs. 9. Create a scatterplot (with points only) of Girth and Height, placing Girth on the x-axis and Height on the y-axis. Briefly describe the graph (the main things to mention is whether or not there appears to be an association and if there is, state whether positve or negative). 10. Read in the dataset from the class website called farmacres.csv. Use read.table(), read.csv() or use the Import Dataset options in the Environment Window. Call the dataset farm. 11. Use the histogram() command in the Lattice package to create a histogram of the acres by stratum. Briefly describe the distributions. 1

List three different individuals who were influential in the development of the field of industrial engineering and manufacturing engineering. Describe their primary contribution to the disciplines of industrial and/or manufacturing engineering. Link the primary contribution of each individual with one of the areas of specialization discussed in class (Simulation, Operations research, Human factors/ergonomics, Information systems, Process engineering/control, Automation/Materials handling, Facilities/storage design, Management systems, and Engineering economics). Learning Outcome #1. List three different individuals who were influential in the development of the field of industrial engineering and manufacturing engineering. Describe their primary contribution to the disciplines of industrial and/or manufacturing engineering. Link the primary contribution of each individual with one of the areas of specialization discussed in class (Simulation, Operations research, Human factors/ergonomics, Information systems, Process engineering/control, Automation/Materials handling, Facilities/storage design, Management systems, and Engineering economics). Learning Outcome #1 check the file page #23 and choose 3 people and answer this question. time is one hr i will pay \$20 you have to do a little search about the 3 chosen people.

## List three different individuals who were influential in the development of the field of industrial engineering and manufacturing engineering. Describe their primary contribution to the disciplines of industrial and/or manufacturing engineering. Link the primary contribution of each individual with one of the areas of specialization discussed in class (Simulation, Operations research, Human factors/ergonomics, Information systems, Process engineering/control, Automation/Materials handling, Facilities/storage design, Management systems, and Engineering economics). Learning Outcome #1. List three different individuals who were influential in the development of the field of industrial engineering and manufacturing engineering. Describe their primary contribution to the disciplines of industrial and/or manufacturing engineering. Link the primary contribution of each individual with one of the areas of specialization discussed in class (Simulation, Operations research, Human factors/ergonomics, Information systems, Process engineering/control, Automation/Materials handling, Facilities/storage design, Management systems, and Engineering economics). Learning Outcome #1 check the file page #23 and choose 3 people and answer this question. time is one hr i will pay \$20 you have to do a little search about the 3 chosen people.

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A total of 800 students responded to the MATH1530 class survey during the spring semester of 2015. The name of the data file is Sp15Math1530CSTPData.MTW. The Minitab worksheet is set up as follows: C1: ID (an identification number given to each student in the data file) C2: GENDER C3: AGE (yrs) C4: WEIGHT (lbs) C5: HEIGHT (in) C6: NUCLEAR SAFETY C7: TALK POLITICS C8: WASH HANDS C9: L E CAMERAS C10: CLOTHING ARTICLES C11: CLOTHING PURCHASE (\$) C12: LOWEST GAS PRICE (\$) C13: FITNESS C14: SEXUAL PREDATOR MATH-1530 CAPSTONE TECHNOLOGY PROJECT SPRING SEMESTER 2015 Problem 1: Identify Variable Type. Which of these questions from the class survey measured variables that are categorical and which are quantitative? Use your word processor to underline the best option (or you may highlight in yellow if you are using a color printer). a. AGE Categorical Quantitative Neither b. NUCLEAR SAFETY Categorical Quantitative Neither c. WASH HANDS Categorical Quantitative Neither d. CLOTHING PURCHASE Categorical Quantitative Neither e. FITNESS Categorical Quantitative Neither Problem 2: Sampling. In the survey data, the variable “AGE” is the current age reported by each student. a. Type the first 10 observations from the column representing the variable AGE into the table below, and use this as your sample data for part (a). Then calculate the mean age of these first 10 observations and report the value below. n 1 2 3 4 5 6 7 8 9 10 AGE (yrs) The mean age of the first 10 students is years. (Type the value into the space provided) Identify the type of sampling method you have just used: b. Next, select a random sample of size n = 10 (Go to Calc > Random Data > Sample from Columns). Type the number 10 in the “Number of rows to Sample” slot. Enter the variable “ID” and “AGE” into the “From columns” slot. Enter C17-C18 into the “Store samples in” slot. Record the data for your sample in the table below. n 1 2 3 4 5 6 7 8 9 10 ID AGE (yrs) Calculate and report the mean age for your random sample of 10 students. The sample mean age is years. Identify the type of sampling method you have just used: c. Let’s treat all the students who responded to the survey as a population for the purposes of this problem. Use Minitab to calculate the mean age for all 800 observations included in the data set and report this value below. The mean age of the population is years. d. Compare the population mean you found in Part (c) to the sample means you found in Parts (a) and (b). Which sample provided a closer estimate of the population mean age in this case?

## A total of 800 students responded to the MATH1530 class survey during the spring semester of 2015. The name of the data file is Sp15Math1530CSTPData.MTW. The Minitab worksheet is set up as follows: C1: ID (an identification number given to each student in the data file) C2: GENDER C3: AGE (yrs) C4: WEIGHT (lbs) C5: HEIGHT (in) C6: NUCLEAR SAFETY C7: TALK POLITICS C8: WASH HANDS C9: L E CAMERAS C10: CLOTHING ARTICLES C11: CLOTHING PURCHASE (\$) C12: LOWEST GAS PRICE (\$) C13: FITNESS C14: SEXUAL PREDATOR MATH-1530 CAPSTONE TECHNOLOGY PROJECT SPRING SEMESTER 2015 Problem 1: Identify Variable Type. Which of these questions from the class survey measured variables that are categorical and which are quantitative? Use your word processor to underline the best option (or you may highlight in yellow if you are using a color printer). a. AGE Categorical Quantitative Neither b. NUCLEAR SAFETY Categorical Quantitative Neither c. WASH HANDS Categorical Quantitative Neither d. CLOTHING PURCHASE Categorical Quantitative Neither e. FITNESS Categorical Quantitative Neither Problem 2: Sampling. In the survey data, the variable “AGE” is the current age reported by each student. a. Type the first 10 observations from the column representing the variable AGE into the table below, and use this as your sample data for part (a). Then calculate the mean age of these first 10 observations and report the value below. n 1 2 3 4 5 6 7 8 9 10 AGE (yrs) The mean age of the first 10 students is years. (Type the value into the space provided) Identify the type of sampling method you have just used: b. Next, select a random sample of size n = 10 (Go to Calc > Random Data > Sample from Columns). Type the number 10 in the “Number of rows to Sample” slot. Enter the variable “ID” and “AGE” into the “From columns” slot. Enter C17-C18 into the “Store samples in” slot. Record the data for your sample in the table below. n 1 2 3 4 5 6 7 8 9 10 ID AGE (yrs) Calculate and report the mean age for your random sample of 10 students. The sample mean age is years. Identify the type of sampling method you have just used: c. Let’s treat all the students who responded to the survey as a population for the purposes of this problem. Use Minitab to calculate the mean age for all 800 observations included in the data set and report this value below. The mean age of the population is years. d. Compare the population mean you found in Part (c) to the sample means you found in Parts (a) and (b). Which sample provided a closer estimate of the population mean age in this case?

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