Module 2: Quantitative reasoning techniques Flashcards

1
Q

What are quantitative reasoning techniques

A
  • skills that combines math and computational thinking
  • how is it applied in the real world?
  • Desired insights - steps to obtain insights
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2
Q

Steps involved in solving quantitative reasoning problem

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

Identify your data

A
  • 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
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4
Q

What is step 2

A

Formulate your question

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5
Q

Data distribution

A
  • 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
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6
Q

Analyse result and make informed decisions

A
  • 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
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