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
2
Q
Steps involved in solving quantitative reasoning problem
A
- Framing concrete numerical questions
- identifying tools and data for analysis
- Building models to analyse data
- analysing the results you obtained
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
4
Q
What is step 2
A
Formulate your question
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
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