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Descriptive Statistics of Quantitative Data - PDF

   

Added on  2021-06-17

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MODULE 7 UNIT 2Activity submission©2017UCT/GetSmarterAllRightsReserved(notauthorisedforcommercialuse).
Descriptive Statistics of Quantitative Data - PDF_1
Learning outcomes:LO2: Use descriptive statistics to analyse quantitative data.LO3: Use inferential statistics to analyse quantitative dataName:1. Instructions and guidelines (Read carefully)Instructions1.Insert your name and surname in the space provided above, as well as in the file name.Save the file as: First name Surname UCT BRA M7 U2 Activity Submission – e.g. LillySmith UCT BRA M7 U2 Activity Submission.NB!Please ensure that you use the namethat appears in your student profile on the Online Campus.2.Write all your answers in this document. There is an instruction that says, “Start writinghere” under each question. Please type your answer there. 3.Submit your assignment in Microsoft Word only. No other file types will be accepted. 4.Do not delete the plagiarism declaration or the assignment instructions andguidelines. They must remain on your assignment when you submit. PLEASE NOTE:Plagiarism cases will be penalised according to the Head Tutor andGetSmarter's discretion.IMPORTANT NOTICE: Please ensure that you have checked your course calendar for the duedate for this assignment. This calendar is available on the Online Campus and has also beensent to you by your Course Coach. Guidelines1.There are six pages and five questions in this assignment. 2.Make sure that you have carefully read and fully understood the questions beforeanswering them. Answer the questions fully but concisely, and as directly as possible.Follow all specific instructions for individual questions (e. g. “list”, “in point form”). 3.Answer all questions in your own words. Do not copy any text from the notes, readingsor other sources. The assignment must be your own work only.Plagiarism declaration:Tel: +27 21 447 7565 | Fax: +27 21 447 8344 Website: www.getsmarter.com| Email: info@getsmarter.com© 2017 UCT / GetSmarter All Rights Reserved (not authorised for commercial use)Page 2 of 8
Descriptive Statistics of Quantitative Data - PDF_2
1. I know that plagiarism is wrong. Plagiarism is to use another’s work and pretend thatit is one’s own.2. This assignment is my own work.3. I have not allowed, and will not allow, anyone to copy my work with the intention ofpassing it off as his or her own work.4. I acknowledge that copying someone else’s assignment (or part of it) is wrong, anddeclare that my assignments are my own work.2. Mark allocationEach question receives a mark allocation. However, you will only receive a final percentagemark and will not be given individual marks for each question. The mark allocation is thereto show you the weighting and length of each question.Question 14 Question 28 Question 38 Question 44 Question 56 TOTAL30 3. Assignment questions Note:Ensure that you have downloaded the Microsoft Excel data set (available in the ModuleDownloads folder) and have it available before you attempt this assignment. In addition,you can use Excel to complete your calculations and then transfer your answers in thespaces provided in this document.Note for Macintosh users: If you are using Microsoft Excel 2011, the data analysis toolkit isunavailable to you. You need to update your version of Excel or use another spreadsheetapplication.The questions in this activity submission are based on the following case study. Tel: +27 21 447 7565 | Fax: +27 21 447 8344 Website: www.getsmarter.com| Email: info@getsmarter.com© 2017 UCT / GetSmarter All Rights Reserved (not authorised for commercial use)Page 3 of 8
Descriptive Statistics of Quantitative Data - PDF_3

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