I have included how to write paper in the file (attached)I Basic description: choose an analytical technique within the scope of this course. Demonstrate the analytical technique using example/real data. Show how to perform the analytical technique using R. Organize the project material along the lines of a 15-minute presentation of the data analysis, explanation of the methods used, and a discussion of the results. Summarize the material in the form of a handout, preferably Word document or Power Point presentation. Projects will be posted on Canvas.Use the following helpful writing guide to help with the content of the minimum sections to include (abstract, methods, results, discussion, literature cited):(Accessed on March 3, 2020)http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWsections.htmlThe sections appear in a journal style paper in the following prescribed order:Experimental processSection of PaperWhat did I do in a nutshell? Abstract just need ~ 3 sentences*What is the problem?IntroductionHow did I solve the problem?Materials and Methods*What did I find out?Results*What does it mean?Discussion* Who helped me out?Acknowledgments (optional)Whose work did I refer to?Literature Cited (give credit for anyone’s work you use) * Extra InformationAppendices (optional)* required section for Project. Also include a cover page/slide with title, members of the project team, and date.See next page for examples of projects completed during previous years. Be creative. You can choose a topic we covered, will cover, or will not cover. Google “tutorial” on www.rseek.org for examples. There are over 226,000,000 hits.
March 10, 2020COMPUTING & GRAPHICS IN APPLIED STATISTICSListing of Sample Student Projects Completed Previously1Analysis of Automobile Accident Rates in Minnesota2Robust Regression in R3Model Selection in R for the 2014 NFL Draft 4Finding Influential Observations5Testing for Collinearity6Birthrate and Economic Development7Model Selection8Statistical Analysis of Prostate Data using R9Robust Regression10Diagnostics11Univariate Displays and Model Selection12Creating a Prediction of Time Series Data Using R13Univariate Displays of Data14Monte Carlo Simulation of Craps Using R15Linear Regression16Modeling Arsenic Level in Bangladesh’s Groundwater17Scatter, Stem-and-Leaf, Histogram, Box and Whisker, Ellipse, Residual, Quantile-Quantile Plots in R18Wine Quality19Univariate Displays of Data in both R20Scatter Plot Matrices in R21MPG of Cars in Response to Horsepower and Weight22Model Selection and Regression Diagnostics23Monte Carlo Simulation of Craps24Means-Based Permutation Test25Model Selection26t-test SAS procedures 27Monte Carlo Simulations28Bootstrapping: An Introduction29Model Selection in R 30Regression Model Building31Resampling Methods32Outlier Detection and its Statistical Considerations33What are the determinants of face-to face medical visits?34Regression Analysis—Highway Accident Rate35A Study of Residual Analysis36Bootstrapping by Resampling Residuals
Basic description: choose an analytical technique within the scope of this course. Demonstrate the analytical technique using example/real data. Show how to perform the analytical technique using R. Organize the project material along the lines of a 15-minute presentation of the data analysis, explanation of the methods used, and a discussion of the results. Summarize the material in the form of a handout, preferably Word document or Power Point presentation. Projects will be posted on Canvas.Use the following helpful writing guide to help with the content of the minimum sections to include (abstract, methods, results, discussion, literature cited):(Accessed on March 3, 2020)http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWsections.htmlThe sections appear in a journal style paper in the following prescribed order:Experimental processSection of PaperWhat did I do in a nutshell? Abstract just need ~ 3 sentences*What is the problem?IntroductionHow did I solve the problem?Materials and Methods*What did I find out?Results*What does it mean?Discussion* Who helped me out?Acknowledgments (optional)Whose work did I refer to?Literature Cited (give credit for anyone’s work you use) * Extra InformationAppendices (optional)* required section for Project. Also include a cover page/slide with title, members of the project team, and date.See next page for examples of projects completed during previous years. Be creative. You can choose a topic we covered, will cover, or will not cover. Google “tutorial” on www.rseek.org for examples. There are over 226,000,000 hits.
March 10, 2020COMPUTING & GRAPHICS IN APPLIED STATISTICSListing of Sample Student Projects Completed Previously1Analysis of Automobile Accident Rates in Minnesota2Robust Regression in R3Model Selection in R for the 2014 NFL Draft 4Finding Influential Observations5Testing for Collinearity6Birthrate and Economic Development7Model Selection8Statistical Analysis of Prostate Data using R9Robust Regression10Diagnostics11Univariate Displays and Model Selection12Creating a Prediction of Time Series Data Using R13Univariate Displays of Data14Monte Carlo Simulation of Craps Using R15Linear Regression16Modeling Arsenic Level in Bangladesh’s Groundwater17Scatter, Stem-and-Leaf, Histogram, Box and Whisker, Ellipse, Residual, Quantile-Quantile Plots in R18Wine Quality19Univariate Displays of Data in both R20Scatter Plot Matrices in R21MPG of Cars in Response to Horsepower and Weight22Model Selection and Regression Diagnostics23Monte Carlo Simulation of Craps24Means-Based Permutation Test25Model Selection26t-test SAS procedures 27Monte Carlo Simulations28Bootstrapping: An Introduction29Model Selection in R 30Regression Model Building31Resampling Methods32Outlier Detection and its Statistical Considerations33What are the determinants of face-to face medical visits?34Regression Analysis—Highway Accident Rate35A Study of Residual Analysis36Bootstrapping by Resampling Residuals