Questionnaire Design, Data Collection & Analysis.

University of Chester - Undergraduate Programmes Assignment Specification Faculty of Science and Engineering Department of Computer Science & EEE
Module No CO4202	Module Title Mathematics for Computers	Academic Year 2019-20	Assessment No 1 (50%)
Submission date Noon on Thursday, 13th February, 2020			Feedback due by 12th March, 2020
Assignment Title Questionnaire Design, Data Collection & Analysis.
Learning Objectives Assessed 3.     Solve computer algorithmic problems by isolating out its separate parts and subjecting them to logical analysis. 4.     Use computer software and standard techniques to solve less predictable algorithmic problems. 5.     Evaluate and use relevant data in the solution of a problem.
Submission Information This assignment is worth 50% of the overall module mark – equivalent to 2000 words approximately The deadline for submission is 12.00 noon on Thursday, 13th February, 2020. You must submit a single Word document via the CO4202 Assessment Submission facility of Sharepoint. This file should contain your full report and all appendices as one document (in MS .doc format).
Extensions and Plagiarism Extensions   Extensions should be requested through the online system available on the Registry services pages on Portal. Late work is penalised at the rate of 5% per day or part thereof. Plagiarism The material you submit must be your own work.  The penalties for plagiarism are severe.  The minimum penalty is usually zero for that piece of work. Further information is available at Portal > Support Departments > Academic Quality Support Services > Academic Integrity.

 

 

Assignment Brief

 

 

Research Topics

• Is the Internet “dumbing down” western society?
• How is superfast broadband impacting upon the UK economy?
• Why have Apple computers grown in popularity?
• Has the “globalised economy” finally destroyed those of the western world?
• Should the government offer greater incentives for students studying computing subjects at university?
• Are certain sections of society disadvantaged by our increasing reliance upon the Internet?
• Are computer games becoming too addictive?
• Is “sofalising” killing the way we live our lives?
• Are threats of ID theft over-exaggerated?
• Should we be worried about the growth of GPS?
• Will the Internet kill off TV?
• Should prisoners be allowed Internet access?
• Is cloud computing the future or is it already here?
• Has the Internet changed marketing practises forever?
• How can politicians exploit the Internet?
• Should Google, Facebook and other social media be allowed to store data for no more than six months?

 

Task 1 (20%)

In order to assist with research for one of the topics listed above, or any other subject matter that you consider suitable enough from your course of study, design an online questionnaire, that can be used via an appropriate social media site (e.g. Google forms), along with three hypotheses. Describe what sampling technique might best be suitable, if the survey were being performed on a very large population.

Task 2 (40%)

Analyse the data you have collected, using both Excel and R. As a minimum, your analysis should include:

·         Questionnaire design with appropriate coding.

·         Appropriate Graphs and basic statistical analysis to summarize results.

·         Measures of central tendency and dispersal (mean and standard deviation).

·         Correlation and/or measures of association.

·         Appropriate Inferential statistics.

 

Task 3 (40%)

Create a 1500-2000 word written report which is to include the following:

a)    Introduction.

b)    Interpretation of the descriptive data with graphical illustrations.

c)    Interpretation of the hypothesis testing with graphical illustrations where appropriate.

d)    A comparison of the use of R and Excel, along with reasoned justification for your choice of tests.

e)    Conclusion (include what your findings indicate from the data collected). A strong argument has been convincingly delivered. Interpretation of analysis and conclusion - what the results actually mean.            

f)     Appendices should include the results from your quantitative analysis copied from your R output files and Excel sheets.