Difference between revisions of "Some notes on quantitative literacy topics"
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:1 What is a measure? (see [[Quantitative Information in Knowledge Claims]]) | :1 What is a measure? (see [[Quantitative Information in Knowledge Claims]]) | ||
:2 Percentages and rates | :2 Percentages and rates | ||
+ | |||
+ | ::Ways of reporting a tuition increase. | ||
+ | ::Percentage increase vs. rate of increase | ||
+ | ::Smith Barney case (p. 163 old text) | ||
+ | |||
:3 Linear vs. Non-linear relationships | :3 Linear vs. Non-linear relationships | ||
+ | |||
+ | ::Linear relationship in a function: increases in x result in proportional increases in y. | ||
+ | ::Non-linear: proportion variable. | ||
+ | ::Taking aspirin every other day reduces your chances of getting a hear attack by 47%. | ||
+ | ::Compounding: Would you rather have a million dollars or get a penny one day, double that the next, for 30 days? | ||
+ | |||
+ | |||
:4 Baseline | :4 Baseline | ||
+ | |||
+ | ::Definition: A baseline is a standard of comparison for looking at the change in some quantity. Baselines are established by controlling for particular variables that distort quantitative comparisons. | ||
+ | ::Nominal vs. Real wages | ||
+ | ::How can an increase in nominal income and a decrease in real income occur simultaneously? | ||
+ | |||
:5 Surveys | :5 Surveys | ||
− | :6 Cognitive Bias | + | |
+ | ::Read Section on this in [[Quantitative Information in Knowledge Claims]] | ||
+ | |||
+ | :6 Cognitive Bias (Read in Discipline 3 of textbook) | ||
+ | |||
::1 Confirmation bias | ::1 Confirmation bias | ||
::2 Fundamental attribution error | ::2 Fundamental attribution error | ||
::3 Anchoring | ::3 Anchoring | ||
::4 Framing | ::4 Framing | ||
+ | |||
:7 Probability | :7 Probability | ||
+ | |||
::1 Definition, | ::1 Definition, | ||
::2 Gambler's fallacy, | ::2 Gambler's fallacy, | ||
::3 Predictive dreams | ::3 Predictive dreams | ||
::4 SI jinx | ::4 SI jinx | ||
+ | |||
:8 Causation | :8 Causation | ||
+ | |||
::1 Regression analysis | ::1 Regression analysis | ||
::2 Multiple regression analysis | ::2 Multiple regression analysis |
Revision as of 16:22, 12 April 2010
These are topics that I'm working on for the next version of the textbook.
- 1 What is a measure? (see Quantitative Information in Knowledge Claims)
- 2 Percentages and rates
- Ways of reporting a tuition increase.
- Percentage increase vs. rate of increase
- Smith Barney case (p. 163 old text)
- 3 Linear vs. Non-linear relationships
- Linear relationship in a function: increases in x result in proportional increases in y.
- Non-linear: proportion variable.
- Taking aspirin every other day reduces your chances of getting a hear attack by 47%.
- Compounding: Would you rather have a million dollars or get a penny one day, double that the next, for 30 days?
- 4 Baseline
- Definition: A baseline is a standard of comparison for looking at the change in some quantity. Baselines are established by controlling for particular variables that distort quantitative comparisons.
- Nominal vs. Real wages
- How can an increase in nominal income and a decrease in real income occur simultaneously?
- 5 Surveys
- Read Section on this in Quantitative Information in Knowledge Claims
- 6 Cognitive Bias (Read in Discipline 3 of textbook)
- 1 Confirmation bias
- 2 Fundamental attribution error
- 3 Anchoring
- 4 Framing
- 7 Probability
- 1 Definition,
- 2 Gambler's fallacy,
- 3 Predictive dreams
- 4 SI jinx
- 8 Causation
- 1 Regression analysis
- 2 Multiple regression analysis