- Discuss a mini case for using data analytics life cycle on real problem (like the one discussed in the class) study to solving a real-life problem, including business, health, etc. (10 Marks)
- Define the major tasks done in the following phases and examples of tools would be used in the these phases? (15 Marks)
- Phase 1:
- Phase 4:
Programming Section: (Include the code and the outputs for each part)
Q3) Write an R code to: (20 Marks)
- Generate 60 random integer ages between 10 and 50
- Use par-blot to show these values and how they change randomly in each run
Q4) One hundred randomly selected students were asked the number of movies they watched the previous week. The results are presented in the table: (35 Marks)
4 points each question + 3 for the full code
| # of Movies | Frequency |
| 0 | 20 |
| 1 | 36 |
| 2 | 24 |
| 3 | 16 |
| 4 | 4 |
- Find the sample mean, median, and range of the sample.
- Find the standard deviation and the variance.
- Construct a bar plot of the data.
- Find the first quartile.
- Find the second quartile. To which value it corresponds?
- Find the third quartile.
- Construct a box plot of the data.
- What percent of the students saw fewer than three movies?
Q5) Research question: Use ZU library or google scholar search to get my research page to find three recent articles using data analytics. For each article describe in short: (20 marks)
- title
- article objective
- comment on how data analytics can contribute to be a solution for real life problems
- Recommend how new idea to this paper or how this paper can be improved
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