Module 2: Quantitative reasoning techniques

Question 1

What are quantitative reasoning techniques

Answer 1

• skills that combines math and computational thinking
• how is it applied in the real world?
• Desired insights - steps to obtain insights

Question 2

Steps involved in solving quantitative reasoning problem

Answer 2

1. Framing concrete numerical questions
2. identifying tools and data for analysis
3. Building models to analyse data
4. analysing the results you obtained

Question 3

Identify your data

Answer 3

• Binary (yes or no) vs continuous data (how long did it take… etc)
• How much data would be sufficient
• Do you want an estimate (as final answer) or do you want a comparison
  1. What base case would you compare with/ is it possible to get data for both cases
  2. What features/ elements are needed to estimate/ is it possible to get data for all these elements

Question 4

What is step 2

Answer 4

Formulate your question

Question 5

Data distribution

Answer 5

• line graphs or histograms
• comparing distributions (based on likelihood/ chance that they will be similar)
• tools for analysis: normal distribution, standard deviation and mean
• standard deviation = the deviance of data points from the average

Question 6

Analyse result and make informed decisions

Answer 6

• Regression is a statistical method used to determine the strength and character of the relationship between a dependent variable and other independent variables
• If normal distribution is assumed, the range mean + - Standard deviation will be 68% of total data points
• Standard error “ margin of error” to determine the confidence interval (reliability) for estimation (estimated of SD of sampling distribution)
• Correlation is inversely related with SE
• High correlation = lower SE and vice versa