If Human Beings are Rational Decision Makers, Why do so Many People Have Goats - PowerPoint PPT Presentation

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If Human Beings are Rational Decision Makers, Why do so Many People Have Goats

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This means that it's more likely that the prize is behind the other doors (2/3) ... prize, the probability is still 2/3 that one of them hides the Grand Prize, but ... – PowerPoint PPT presentation

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Title: If Human Beings are Rational Decision Makers, Why do so Many People Have Goats


1
If Human Beings are Rational Decision Makers, Why
do so Many People Have Goats?
  • Investigating the Monty Hall Problem

2
How Do We Make Decisions?
  • Assumption of Rationality People make the choice
    to maximize their gains when making a decision
  • ECONOMIC MAN/WOMAN (Edwards, 1954)
  • Decision makers are fully informed of all
    possible option and outcomes, are sensitive to
    the differences between options and are
    objectively rational
  • SUBJECTIVE EXPECTED UTILITY
  • Decision makers seek to achieve
    subjectively positive outcomes and avoid
    subjectively negative outcomes based on their
    subjective estimates of how likely it is they
    will achieve their goals. People are
    subjectively rational.

3
  • Bounded Rationality Humans are not irrational,
    but are rational within limits (Simon, 1957)
  • SATISFIZING (Simon, 1957)
  • We consider the minimum number of options that
    would allow us to minimum criteria (i.e. we only
    look until we find what were looking for)
  • 2) HEURISTICS AND BIASES (Tversky Kahnemann,
    1979)
  • We make decisions based on rules of thumb of and
    personal preferences often based on preconceived
    notions (e.g. We pick Molly to play on our
    basketball team because shes tall and tall
    people are good at basketball)

4
Decision Making and Probability
  • Recent theories suggest that human beings are NOT
    always rational decision makers
  • People are particularly irrational decision
    makers when evaluating a combination of possible
    events

5
Lets Make a Deal In class demonstration
  • Underneath one of the cups is a prize, there is
    nothing under the other two cups
  • Pick a cup
  • Once youve picked, I will flip over one of the
    remaining cups that has nothing under it
  • You can then change your mind (SWITCH) or STAY

6
Explanation
  • You originally have a 1/3 chance (33) of
    selecting the right cup/door
  • You are always better over switching in the long
    run because your new pick offers you a 2/3 chance
    (66) of winning

7
That Doesnt Make Sense
  • Explanation 1
  • Your original pick gives you a 1/3 shot of
    winning
  • This means that its more likely that the prize
    is behind the other doors (2/3)
  • When Monty tells you which door does not have the
    prize, the probability is still 2/3 that one of
    them hides the Grand Prize, but now you know
    which of the two it is
  • Explanation 2
  • Imagine you have 1000 doors and behind one of
    them is a prize. When you pick a door, your odds
    are 1/1000 that youre correct
  • Monty then opens 998 / 999 doors
  • One door and your door remain Do you want to
    switch now?

8
CogLab Experiment Monty Hall
  • Hypothesis Always staying will lead to winning
    33 of the time and always switching will lead to
    winning 66 of the time
  • Method
  • Participants Fifteen undergraduate students at
    UBC enrolled in PSYC 309 901 completed the
    self-administered experiment. Only the first ten
    were selected (N10)
  • Materials Personal computer and online
    demonstration from CogLab website
    (http//coglab.wadsworth.com)

9
  • Procedure
  • Ps logged on the CogLab website and, once signed
    it, clicked on the lab entitled Monty Hall where
    instructions were provided
  • Three doors appeared on the screen and the P
    selected a door by clicking on it
  • After a door was selected a - or ? appeared above
    the other two doors (- indicated no prize and ?
    indicated there might be a prize)
  • Ps could then choose to STAY with their original
    door or SWITCH to the other door. There were 29
    trials/subject.

10
Results
  • Typically, if you always STAY with your original
    pick you will win 33 of the time (pop. mean
    .33)
  • In our study m.30, s.0541
  • t(72)-0.53, plt0.5
  • Typically, if you always SWITCH you will win 66
    of the time (pop. mean .66)
  • In our study m.67, s.0292
  • t(259)0.31, plt0.5

11
Discussion
  • The results from our experiment support our
    hypothesis Always staying lead to winning 33 of
    the time and always switching lead to winning 66
    of the time
  • Our sample is statistically identical in
    performance to the population
  • However, some subjects still chose to stay on
    every trial or stayed on at least some of the
    trials

12
Why do People Have Such a Hard Time with the
Monty Hall Problem?
  • Most people think the odds should be 50/50, that
    it shouldnt matter if they switch or stay (Burns
    Wieth)
  • Not due to lack of knowledge (Burns Wieth)
  • Illusion of control (Dorr Granberg, 1998
    Langer, 1975)

13
References
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