Mathematics for Computers Assignment Help

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Mathematics for Computers

Faculty of Science and Engineering

Assignment - Questionnaire Design, Data Collection & Analysis.

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Learning Objective 1: Solve computer algorithmic problems by isolating out its separate parts and subjecting them to logical analysis.

Answer: Solving computer algorithmic problems effectively involves breaking down complex problems into smaller, more manageable subproblems. This technique, known as decomposition, allows for a systematic analysis of each component. By isolating these parts, we can apply logical reasoning and problem-solving techniques to each subproblem independently. This approach simplifies the overall problem and makes it easier to identify patterns, devise solutions, and ultimately construct an efficient algorithm.

Learning Objective 2: Use computer software and standard techniques to solve less predictable algorithmic problems.

Answer: For less predictable algorithmic problems, we often rely on computer software and standard techniques to explore potential solutions. By utilizing tools like programming languages, algorithms, and data structures, we can systematically analyze problem constraints and generate various approaches. These tools enable us to simulate different scenarios, test hypotheses, and identify patterns that might not be immediately apparent. Through iterative refinement and experimentation, we can gradually converge on an effective solution, even for problems that lack a straightforward analytical approach.

Learning Objective 3: Evaluate and use relevant data in the solution of a problem.

Answer: Evaluating and utilizing relevant data is a crucial step in problem-solving. It involves carefully examining the available data, identifying its strengths, weaknesses, and potential biases. By understanding the context and limitations of the data, we can make informed decisions about its applicability to the problem at hand. Once the relevant data is identified, it can be processed, analyzed, and interpreted to extract valuable insights. These insights can then be used to inform the development of effective solutions, allowing us to make data-driven decisions and improve the accuracy and reliability of our problem-solving approaches.

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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?

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Problem 1
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.

Problem 2
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.

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Problem 3
Create a 1500-2000 word written report which is to include the following:
i) Introduction.
ii) Interpretation of the descriptive data with graphical illustrations.
iii) Interpretation of the hypothesis testing with graphical illustrations where appropriate.
iv) A comparison of the use of R and Excel, along with reasoned justification for your choice of tests.
v) 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.
vi) Appendices should include the results from your quantitative analysis copied from your R output files and Excel sheets.

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