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Foject1 - Stats Data Analysis for X + content/2332838/viewContent/37118691/View КА Ky MATH 2050 - Project 1 Due: 11:59pm Friday, 9/17/2021 Project Overview The purpose of this project is to utilize R to explore the characteristics of a data set. The data set that is being explored is chickwts, which is a built-in dataset in Rand is data from an experiment that was conducted to measure and compare the effectiveness of various feed supplements on the growth rate of chickens. Tasks include calculating descriptive statistics and preparing graphical summaries, In addition, you will store your R commands in a script file. A template R script file is located in the Projects folder on D2L. Project Description This project can be divided into three parts: 1. Extracting a subset of data from a data frame. O Project1 - Stats Dat... DE Sara R.

® Project1 - Stats Data Analysis for X + Hu/d21/le/content/2332838/viewContent/37118691/View D an experiment that was conducted to measure and compare the effectiveness of various feed supplements on the growth rate of chickens. Tasks include calculating descriptive statistics and preparing graphical summaries. In addition, you will store your R commands in a script file. A template R script file is located in the Projects folder on D2L. Project Description This project can be divided into three parts: 1. Extracting a subset of data from a data frame. 2. Calculating descriptive statistics and generating appropriate graphs or charts for the variables in the data frame, both quantitative and qualitative. 3. Answering questions about the data in the data frame. Tasks 1. Download the R file XXX Project1.R from D2L in the Projects folder and store in vour Rstudio default working directory. 2. Rename the script file by replacing the XXX with your initials. 3. Make changes to the comments at the beginning of the file to make the file yours. 4. Replace the seed number in the set.seed (12345) function statement with the last 5 digits of our 900 number This will ensure that vour random sample of the data frame i Project! - Stats Dat. search O GEI G H

Project1 - Stats Data Analysis for X + le/content/2332838/viewContent/37118691Niew - This project can be divided into three parts: 1. Extracting a subset of data from a data frame. 2. Calculating descriptive statistics and generating appropriate graphs or charts for the variables in the data frame, both quantitative and qualitative, 3. Answering questions about the data in the data frame. Tasks 1. Download the R file XXX Project1.R from D2L in the]Projects folder and store in your Rstudio default working directory. 2. Rename the script file by replacing the XXX with your initials. 3. Make changes to the comments at the beginning of the file to make the file yours. 4. Replace the seed number in the set.seed (12345) function statement with the last 5 digits of your 900 number. This will ensure that your random sample of the data frame is unique to your project. 5. For quantitative variables, print out the following descriptive statistics: Length of the vector variable. Mean of the variable. • Standard Deviation of the variable. • Variance of the variable. • The live number summary of the variable. ch o Project - Stats Dat. FIO F12 Sysko 6 K

O 3. Make changes to the comments at the beginning of the file to make the file your's , 4. Replace the seed number in the set.seed (12345) function statement with the last 5 digits of your 900 number. This will ensure that your random sample of the data frame is unique to your project. 5. For quantitative variables, print out the following descriptive statistics: Length of the vector variable, • Mean of the variable. • Standard Deviation of the variable. • Variance of the variable, • The five number summary of the variable, 6. For qualitative variables print out the frequency counts. 7. For quantitative variables, print out the following graphs: • histogram (frequency, relative frequency) boxplot, modified boxplot • stem and leaf • A modified boxplot of the data broken out by factor levels о i Project - Stats Dat... V В B. NM

Project1 - Stats Data Analysis for X + du/d21/le/content/2332838/viewContent/37118691/View D Note that each graph at a minimum should have a title and the axis labels should be clear. 8. For qualitative variables, print out the following graphs: • barplot of frequency counts • pie chart of frequency counts Note that each graph should at a minimum have a title and the axis labels should be clear. Questions 1. Describe the variables present in the data frame. 2. Describe the shape of the histogram. Does the sample data appear to be approximately normal? 3. Does the sample data appear to have any skewness? If so, does the data appear to be skewed left or right? 4. What is the mode for the qualitative data? 5. Does there appear to be any ontliers in the data? O Project1 - Stats Dat... to search INI F5 FIO

Project1 - Stats Data Analysis for X + le/content/2332838/viewContent/37118691/View д O barplot of frequency counts pie chart of frequency counts Note that each graph should at a minimum have a title and the axis labels should be clear Questions 1. Describe the variables present in the data frame. 2. Describe the shape of the histogram. Does the sample data appear to be approximately normal? 3. Does the sample data appear to have any skewness? If so, does the data appear to be skewed left or right? 4. What is the mode for the qualitative data? 5. Does there appear to be any outliers in the data? 6. Which of the feed types produced the highest weight in the chicks? 7. Which of the feed types produced the lowest weight in the chicks? Deliverables Submit to Gradescope your modified R script file. Note that I will be grading the project by first seeing if the submitted lile runs without errors. Answers to questions should be embedded within comments in the submitted scrit Vilr O ch Project - Stats Dat. FS svilla

Stats Data Analysis for X + Ent/2332838/viewContent/37118691Niew appear to be approximately 1. Describe the variables present in the data frame. 2. Describe the shape of the histogram. Does the sample data normal? 3. Does the sample data appear to have any skewness? If so, does the data appear to be skewed left or right? 4. What is the mode for the qualitative data? 5. Does there appear to be any out in the data? 6. Which of the feed types produced the highest weight in the chicks? 7. Which of the feed types produced the lowest weight in the chicks? Deliverables h Submit to Gradescope your modified R script file. Note that I will be grading the project by first seeing if the submitted file runs without errors. Answers to questions should be embedded within comments in the submitted script file. о c - Project - Stats Dat... DE - F10 F12