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Module 3 Quiz

You can submit your answers to these questions via the Module 3 Quiz on Canvas. Questions are listed here with hyperlinks to the relevant section of the lab if you need help finding answers.

Rubric

Written answers and maps will be evaluated using the rubric below and your TA will provide brief comments where applicable.

  • If you need more feedback you can follow up with your TA via email or in lab.
  • Categories are just general guides
    • Your TA may assign scores between these levels
Category Written Answers Map/Chart Submissions Score
Missing N/A N/A 0%
Insufficient Missing major key points or serious logical flaws Serious errors in analysis, missing data, or major stylistic issues 25%
Below Expectations Missing a few key points or minor logical flaws Minor errors in analysis or multiple stylistic issues 50%
Meets Expectations Hits key points and mostly well constructed Error free analysis, minor stylistic issue 75%
Exceeds Expectations Clearly thought out, concise, and astute Error free analysis and clean, aesthetically pleasing map 100%

Written Answers

Written answers can be brief but they should adequately answer the question.

  • Bullet point format is okay unless otherwise specified

File Submissions

Map/charts/figures will be evaluated for completeness and aesthetics.

  • Files should be saved as using the file type specified (.pdf, .png, etc.)
    • Make sure to double check the file before uploading!

Quiz Questions

Unless otherwise specified, numeric answers have a margin of error of 0.01, so give all responses to at least the hundredths place.

1 Which projection did we choose for the BC_Census_Data feature dataset and why? Why can’t we just work with the simply analytics data as is?

2 We used the clip tool to ensure we don’t __ population density in the coastal Subdivisions.

  • Overestimate
  • Underestimate
  • Correctly Calculate

3 What was the reasoning behind Stats Canada updating from the old Rural/Urban to the Population Centre and Rural Area classification method?

4 The Select by __ tool lets us use SQL (Structured Query Language) to define expressions for querying vector data.

5 What measurement scale would population density attribute be on? Hint

  • Nominal
  • Ordinal
  • Interval
  • Ratio

6 What best describes the Population Center and Rural Area Classification attribute we created?

  • Quantitative data
  • Qualitative data
  • both
  • neither

7 Box plots are most useful for looking at frequency distributions. [T/F]

8 In which Population Centre and Rural Area class does the the largest proportion of BC’s population live?

  • Large Urban Population Centre
  • Rural
  • Small Population Centre
  • Medium Population Centre

9 What percent of BC’s overall population lives in Rural Areas? Round your answer to the nearest percent. Hint Sum the four classes to get the total population.

10 What is the median value for the percentage of income that people in Rural areas spend on food? Round to the nearest tenth percent.

11 How does classifying the data help us reveal patterns compared to what we see in the scatter plot? Does the r2 score indicate a relationship in the scatter plot? What conclusions can you draw about the proportion of income spent on food by people in different regions from looking at the box plot?

12 Submit your Bar Chart.

13 Submit your Box plot.