The coursework will be posted on Moodle on 18th December 2020 at 6pm, and is due on 11th January 2021 at 2pm. Please follow all designated SPP submission guidelines for online submission as detailed on the PUBl0055 Moodle page. Standard late submission pe

statistics

Description

Instructions 

• The coursework will be posted on Moodle on 18th December 2020 at 6pm, and is due on 11th January 2021 at 2pm. Please follow all designated SPP submission guidelines for online submission as detailed on the PUBl0055 Moodle page. Standard late submission penalties apply. 

• This is an assessed piece of coursework (worth 75% of your final module mark) for the PUBL0055 module; collaboration and/or discussion of the coursework with anyone is strictly prohibited. The rules for plagiarism apply and any cases of suspected plagiarism of published work or the work of classmates will be taken seriously. 

• As this is an assessed piece of work, you may not email/ask the course tutors or teaching fellows questions about how to complete the essay. If you believe that there may be an error in the questions posed, please email both b.lauderdale@ucl.ac.uk and j.blumenau@ucl.ac.uk to request clarification/correction. 

• Along with the essay questions, the provided datasets for the essay can be found in the PUBL0055 page on Moodle. 

• The final essay should be submitted via the ‘Turnitin Submission: PUBL0055 Essay 2’ link on the course Moodle page. You will need to click the ‘Submit Paper’ link at the bottom of the page. When presented with the ‘Submit Paper’ box, the ‘Submission Title’ should be your candidate number, and you should upload your document into the box provided. Please remember to state ONLY your candidate number on your coursework (your candidate number is made up of four letters and one number e.g. ABCD5). Your name and/or student number MUST NOT appear on your coursework. 

• The coursework consists of three sections, each based on a different data set. There are five total questions across those three sections. Each question will receive equal weight in your final exam mark. 

• Unless otherwise stated, answers should be written in complete sentences. Be sure to answer all parts of the questions posed and interpret the results. 

• The word count for this assessment is 3000 words. This does not include the code, or any words (or numbers) contained within tables or figures. 

• Please submit your type-written (numbered) answers in a single document (as a .pdf, .doc, or .docx file). You should create an appendix section at the end which contains all the R code needed to reproduce your results. 

• You may assume the methods you have used (e.g. difference-in-means, linear regression, etc) are understood by the reader and do not need definitions, but you do need to explain how they apply to answering the question. 

• Round all numbers to two digits after the decimal point. 

• Do not screenshot or copy and paste brute R output (e.g. lm(y ∼ x)) into your answers. Create a formatted table that is easy to read. The one exception to this rule is that you may use screenreg() to format a table of regression coefficients. 

• Assign every table and figure a title and a number and refer to the number in the text when discussing a specific figure or table. 1

Instruction Files

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