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Title: Today


1
Today
  • Today Course Outline, Start Chapter 1
  • Assignment 1
  • Read Chapter 1 by next Tuesday

2
Statistics
  • What is Statistics?
  • Discipline that deals with the collection,
    summary, organization and interpretation of data
  • Used to help predict and answer questions about
    real processes

3
Example
  • Dr. B. Spock was convicted of conspiracy during
    Vietnam era
  • Convicted by an all-male jury
  • Felt trial was unfair because no women were on
    the jury
  • Jury list for Spocks judge had 14.4 women
  • Jury list for 6 other judges had 29 women
  • Does this seem fair?

4
Example
  • Questions
  • What is the chance or probability that in a
    population with 29 women, we could select a jury
    pool of only 14.4 women?
  • Is 14.4 close to 29?
  • What does chance or probability mean?

5
Sample Space
  • The term experiment is used to denote an activity
    which produces an unpredictable outcome
  • Will describe and summarize experiments using
    models
  • Model describing an experiment should to take
    into account all possible outcomes
  • Collection of all possible outcomes of an
    experiment is called the sample space and is
    denoted by

6
  • Example
  • A balanced coin is flipped
  • Do not know outcome in advance
  • What if we tossed the coin 2 times?
  • Example
  • Roll of a fair die
  • Example
  • Number of people arriving in an emergency room in
    before one dies

7
Event
  • A collection of outcomes (a subset of the sample
    space) is called an event
  • An event, E, is said to occur if one of its
    outcomes occurs

8
Event
  • Example
  • A balanced coin is flipped two times
  • Let E be the event that a tails occurs
  • E
  • Example
  • Committee of two people is chosen from 5 people
    (a-e)
  • Let E be the event that person a is on the
    committee
  • E

9
Event Algebra
  • We will generally introduce these ideas as needed

10
Event Algebra
  • Example Fair Die
  • E1E3

11
Venn Diagrams
  • Can represent sample space and events using a
    Venn Diagram

12
Probability for Experiments
  • A probability model assigns probabilities to
    outcomes and/or events in the sample space
  • Simplest case is when the number of possible
    outcomes in the sample space is finite and each
    outcome is equally likely
  • If there are N outcomes in the sample space and
    each outcome is equally likely then the
    probability of any individual outcome is 1/N
  • Example Fair die is rolled. What is the
    probability of observing 6?

13
Probability for Experiments
  • An event E is a collection of outcomes from the
    sample space
  • Recall, an event, E, is said to occur if one of
    its outcomes occurs
  • So, P(E)

14
Probability for Experiments
  • Example
  • In roulette, the possible outcomes are
    00,0,1,2,36
  • Outcomes 00 and 0 are green, odd outcomes are red
    and even outcomes are black
  • Let R be the event that a red is observed in one
    spin of the roullette wheel
  • P(R)
  • Example
  • In the committees example, the probability that
    person a is on the committee is

15
Properties of Probability
  • These are called the axioms of probability

16
Consequences of the Axioms

17
  • Example
  • Small university offers 2 language courses,
    French and German
  • Everyone is required to take a language course
  • If 75 of students take French and 55 take
    German what proportion of students take both
    courses?
  • What proportion take only one course?

18
Combinatorics
  • In the equally likely case, computing
    probabilities involves counting
  • This can be hardreally
  • Combinatorics is a branch of mathematics whichs
    develops efficient counting methods

19
Combinatorics
  • Consider the rhyme
  • As I was going to St. Ives
  • I met a man with seven wives
  • Every wife had seven sacks
  • Every sack had seven cats
  • Every cat had seven kits
  • Kits, cats, sacks and wives
  • How many were going to St. Ives?
  • Answer

20
Combinatorics
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