# Assignment: Statistics for Geography & Planning Lab Report

## Assignment: Statistics for Geography & Planning Lab Report

Assignment: Statistics for Geography & Planning Lab Report ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Assignment: Statistics for Geography & Planning Lab Report The final project is an opportunity to synthesize what we will learn across the entire semester. You are asked to complete a statistical analysis of selected variables from our class survey data from start to finish, beginning with articulating one or more hypotheses and generating descriptive statistics, and ending with conclusions based on inferential statistical testing. Your grade on the final project will be based on the extent to which you can demonstrate mastery of the concepts we have learned in class. The exact manner in which you design your project is up to you, but the ideal project will demonstrate mastery of at least four of the following topics: Descriptive statistics One-sample means tests Two-sample means tests Analysis of variance tests Correlation Regression. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report gis270_finalprojects.fall2020__7_.pdf GIS 270 Statistics for Geography and Planning FINAL PROJECTS FALL 2020 Introduction The final project is an opportunity to synthesize what we will learn across the entire semester. You are asked to complete a statistical analysis of selected variables from our class survey data from start to finish, beginning with articulating one or more hypotheses and generating descriptive statistics, and ending with conclusions based on inferential statistical testing. Your grade on the final project will be based on the extent to which you can demonstrate mastery of the concepts we have learned in class. The exact manner in which you design your project is up to you, but the ideal project will demonstrate mastery of at least four of the following topics: Descriptive statistics One-sample means tests Two-sample means tests Analysis of variance tests Correlation Regression Logistics You may discuss and review your work with other students in the class, but each student is responsible to submit an independent final project reflecting their original effort. All analyses should include a mixture of categorical, ordinal, and scale variables. The final project represents 35% of your semester grade. Most students have already completed two components of the project (1) developing a research question and project plan, and (2) processing and preparing class survey data. Each of those components accounts for 5% of the semester grade. We have modified the expectations for the remaining components of the final project based on the ASUadjusted timeline for course completion given the Covid-19 pandemic. Each student should be prepared to submit: One R file in which a collection of statistical analyses are performed that investigate your individual research questions and hypotheses using the class survey. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report The R file should demonstrate mastery of at least four of the six analytical techniques listed above, and include sufficient comments to help the instructor understand your goals and intentions. You are welcome and encouraged to compile portions of relevant code from the class assignments, but please be certain that you have resolved any errors or inconsistencies in that code. Your code, with its comments, should tell a coherent story of the portion of the class survey you have chosen to analyze, to the best extent possible. All statistical tests should be accompanied by interpretation of results, including accepting/rejection of null hypotheses, determination of statistical significance, and reporting of test statistics. Your code will be evaluated for (1) the range of statistical and visualization techniques you attempt to implement, (2) your success in implementing those techniques using appropriate code, (3) providing sufficient comments, and (4) successfully interpreting the results of your statistical tests and assembling a coherent, concise summary of your results. Submit your code via Canvas to the Final Project R Code assignment. Your final project script will account for 15% of your semester grade. GIS 270 Statistics for Geography & Planning, Final Projects Fall 2020, page 1 One 3-4 minute video recording in which you provide a narrated summary of your results with appropriate visualization. In your video presentation, you should provide an introduction to your topic(s) of interest, an overview of the variables you examined with appropriate descriptive statistics, the hypotheses and outcomes of your statistical tests, and a concluding summary of your results. The presentation should NOT include a detailed explanation of your code, but instead focus on what you were investigating and what you found. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report To create your video recording, first prepare a PowerPoint presentation (or similar software) with representative graphics (generated in R) that illustrate your analysis (e.g., a boxplot, or bar plots, if you are running means tests or analysis of variance). There should be very few, if any, words on any of your slides, other than figure legends and labels, and one title slide with a project title and your name. Once your slides are complete, open a Zoom session and share your screen with the presentation in Presentation mode. (You will be the only person in your Zoom room). Then, start a recording and choose Record to the Cloud. Once recording has started, begin your presentation. Zoom will automatically send you a link to the recording of your video shortly after you end the meeting. Submit the link via Canvas to the Final Project Video Recording assignment. Your video recording will account for 7% of your semester grade. A short peer evaluation of three classmates video recordings, using a Google Form link that will be provided via Canvas. You will be able to choose the recordings that you view from a list provided by the instructor approximately one hour after the submission deadline. Each peer evaluation completed will account for 1% of your semester grade, and feedback will be compiled and returned to your classmates anonymously. Outside of the final project deliverables, a reflective statement worth 5% of your semester grade is also due by the end of the semester. Instructions will be provided in a separate assignment on Canvas. Deadlines are as follows: Track 1 students who wish to complete semester obligations by December 4. Submit code and video recording Submit peer evaluations Submit reflective statement December 3, noon December 4, 11pm December 4, 11pm Track 2 students who wish to complete semester obligations by December 11. Submit code and video recording Submit peer evaluations Submit reflective statement December 8, noon December 10, 11pm December 11, 11pm GIS 270 Statistics for Geography & Planning, Final Projects Fall 2020, page 2 Final Code and Presentation Content The list below reflects possible content to include in your final materials. More items are listed than any one student is expected to complete for their individual presentation. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report 1. Project Title and Student Name 2. Research question(s) 3. Description of independent and dependent variables Type of variables Expected distribution of variables Potential unusual cases/difficulties Specific hypotheses about the relationships between the independent and dependent variables Measurement type/unit/mode (for each variable) Descriptive statistics Metadata, missing data codes, other necessary coding 4. Data analysis Descriptive statistics for each variable Graphical summaries for each variable and combinations of variables Comparison of distribution for each variable to expected distributions One sample tests for certain variables against expected values Two sample tests for certain variables based on groups Analysis of variance tests for certain variables based on 3+ groups Correlation analysis for certain variables Regression analysis for certain variables 5. Interpretation Decision to accept or reject original hypotheses Potential causal explanations for observed patterns Variables excluded from the analysis that may have been important Extent to which data collected meet necessary assumptions for certain analyses Strengths and weaknesses of study design Recommendations for future projects on related topics Broader impacts/societal implications of your findings 6. Conclusions 7. External data sources/references (if necessary) Good luck! I am looking forward to seeing your work. GIS 270 Statistics for Geography & Planning, Final Projects Fall 2020, page 3 Arizona State University GIS 270 Statistics for Geography & Planning Lab Report Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10

## Assignment: Statistics for Geography & Planning Lab Report

Assignment: Statistics for Geography & Planning Lab Report ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Assignment: Statistics for Geography & Planning Lab Report The final project is an opportunity to synthesize what we will learn across the entire semester. You are asked to complete a statistical analysis of selected variables from our class survey data from start to finish, beginning with articulating one or more hypotheses and generating descriptive statistics, and ending with conclusions based on inferential statistical testing. Your grade on the final project will be based on the extent to which you can demonstrate mastery of the concepts we have learned in class. The exact manner in which you design your project is up to you, but the ideal project will demonstrate mastery of at least four of the following topics: Descriptive statistics One-sample means tests Two-sample means tests Analysis of variance tests Correlation Regression. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report gis270_finalprojects.fall2020__7_.pdf GIS 270 Statistics for Geography and Planning FINAL PROJECTS FALL 2020 Introduction The final project is an opportunity to synthesize what we will learn across the entire semester. You are asked to complete a statistical analysis of selected variables from our class survey data from start to finish, beginning with articulating one or more hypotheses and generating descriptive statistics, and ending with conclusions based on inferential statistical testing. Your grade on the final project will be based on the extent to which you can demonstrate mastery of the concepts we have learned in class. The exact manner in which you design your project is up to you, but the ideal project will demonstrate mastery of at least four of the following topics: Descriptive statistics One-sample means tests Two-sample means tests Analysis of variance tests Correlation Regression Logistics You may discuss and review your work with other students in the class, but each student is responsible to submit an independent final project reflecting their original effort. All analyses should include a mixture of categorical, ordinal, and scale variables. The final project represents 35% of your semester grade. Most students have already completed two components of the project (1) developing a research question and project plan, and (2) processing and preparing class survey data. Each of those components accounts for 5% of the semester grade. We have modified the expectations for the remaining components of the final project based on the ASUadjusted timeline for course completion given the Covid-19 pandemic. Each student should be prepared to submit: One R file in which a collection of statistical analyses are performed that investigate your individual research questions and hypotheses using the class survey. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report The R file should demonstrate mastery of at least four of the six analytical techniques listed above, and include sufficient comments to help the instructor understand your goals and intentions. You are welcome and encouraged to compile portions of relevant code from the class assignments, but please be certain that you have resolved any errors or inconsistencies in that code. Your code, with its comments, should tell a coherent story of the portion of the class survey you have chosen to analyze, to the best extent possible. All statistical tests should be accompanied by interpretation of results, including accepting/rejection of null hypotheses, determination of statistical significance, and reporting of test statistics. Your code will be evaluated for (1) the range of statistical and visualization techniques you attempt to implement, (2) your success in implementing those techniques using appropriate code, (3) providing sufficient comments, and (4) successfully interpreting the results of your statistical tests and assembling a coherent, concise summary of your results. Submit your code via Canvas to the Final Project R Code assignment. Your final project script will account for 15% of your semester grade. GIS 270 Statistics for Geography & Planning, Final Projects Fall 2020, page 1 One 3-4 minute video recording in which you provide a narrated summary of your results with appropriate visualization. In your video presentation, you should provide an introduction to your topic(s) of interest, an overview of the variables you examined with appropriate descriptive statistics, the hypotheses and outcomes of your statistical tests, and a concluding summary of your results. The presentation should NOT include a detailed explanation of your code, but instead focus on what you were investigating and what you found. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report To create your video recording, first prepare a PowerPoint presentation (or similar software) with representative graphics (generated in R) that illustrate your analysis (e.g., a boxplot, or bar plots, if you are running means tests or analysis of variance). There should be very few, if any, words on any of your slides, other than figure legends and labels, and one title slide with a project title and your name. Once your slides are complete, open a Zoom session and share your screen with the presentation in Presentation mode. (You will be the only person in your Zoom room). Then, start a recording and choose Record to the Cloud. Once recording has started, begin your presentation. Zoom will automatically send you a link to the recording of your video shortly after you end the meeting. Submit the link via Canvas to the Final Project Video Recording assignment. Your video recording will account for 7% of your semester grade. A short peer evaluation of three classmates video recordings, using a Google Form link that will be provided via Canvas. You will be able to choose the recordings that you view from a list provided by the instructor approximately one hour after the submission deadline. Each peer evaluation completed will account for 1% of your semester grade, and feedback will be compiled and returned to your classmates anonymously. Outside of the final project deliverables, a reflective statement worth 5% of your semester grade is also due by the end of the semester. Instructions will be provided in a separate assignment on Canvas. Deadlines are as follows: Track 1 students who wish to complete semester obligations by December 4. Submit code and video recording Submit peer evaluations Submit reflective statement December 3, noon December 4, 11pm December 4, 11pm Track 2 students who wish to complete semester obligations by December 11. Submit code and video recording Submit peer evaluations Submit reflective statement December 8, noon December 10, 11pm December 11, 11pm GIS 270 Statistics for Geography & Planning, Final Projects Fall 2020, page 2 Final Code and Presentation Content The list below reflects possible content to include in your final materials. More items are listed than any one student is expected to complete for their individual presentation. Arizona State University GIS 270 Statistics for Geography & Planning Lab Report 1. Project Title and Student Name 2. Research question(s) 3. Description of independent and dependent variables Type of variables Expected distribution of variables Potential unusual cases/difficulties Specific hypotheses about the relationships between the independent and dependent variables Measurement type/unit/mode (for each variable) Descriptive statistics Metadata, missing data codes, other necessary coding 4. Data analysis Descriptive statistics for each variable Graphical summaries for each variable and combinations of variables Comparison of distribution for each variable to expected distributions One sample tests for certain variables against expected values Two sample tests for certain variables based on groups Analysis of variance tests for certain variables based on 3+ groups Correlation analysis for certain variables Regression analysis for certain variables 5. Interpretation Decision to accept or reject original hypotheses Potential causal explanations for observed patterns Variables excluded from the analysis that may have been important Extent to which data collected meet necessary assumptions for certain analyses Strengths and weaknesses of study design Recommendations for future projects on related topics Broader impacts/societal implications of your findings 6. Conclusions 7. External data sources/references (if necessary) Good luck! I am looking forward to seeing your work. GIS 270 Statistics for Geography & Planning, Final Projects Fall 2020, page 3 Arizona State University GIS 270 Statistics for Geography & Planning Lab Report Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10

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