Chapter 14-Fundamentals of Probability

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CHS Statistics
Chapter 14: Fundamentals of
Probability
Objective: To understand and apply the
basic probability rules and theorems
Inferential Statistics
• Inferential statistics involve making predictions about a
population, given a sample. In probability we use
population information to infer the probability.
Key Definitions
• Theoretical Probability – what the probability should be
• Ex) The probability of flipping a coin and getting a
tails should always be ½ or 0.5.
• Experimental Probability – the actual probability found
after an experiment
• Ex) You got 6 tails after flipping a coin 8 times, so
your experimental probability is 6/8 or 0.75.
Key Definitions (continued)
• Event – a trial of an experiment
• Often notes as P(A) – “the probability of Event A”
• Ex) flipping a coin
• Outcome – result of a single trial
• Ex) not getting tails
• Simple event – an outcome or event that cannot be
further broken down into simpler components.
• Ex) The outcome of ‘5’ after rolling one die.
• Ex) The outcome of ‘8’ as the sum of rolling two dice
is not a simple event, because there are various
ways to get 8 (4-4, 5-3, 2-6).
Key Definitions (continued)
• Sample Space – the set of all possible simple event
outcomes
• Ex) The sample space for flipping a coin is: {H, T}
• Ex) The sample space for rolling a die is:
• Ex) The sample space for flipping two coins is:
Notation for Probabilities
• P denotes a ______________.
• A, B, C, etc. denote ________________.
• P(A) denotes _________________________________.
Calculating Probabilities
# 𝒐𝒇 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔 𝒇𝒂𝒗𝒐𝒓𝒂𝒃𝒍𝒆 𝒕𝒐 𝒂𝒏 𝒆𝒗𝒆𝒏𝒕
𝑷 𝑨 =
𝒕𝒐𝒕𝒂𝒍 # 𝒐𝒇 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔
• Example of an event that will never occur:
• Example of an event that will always occur:
Law of Large Numbers
• The more an experiment is repeated,
the closer the experimental probability
will get to the theoretical probability.
• Virtual Representation of Law of
Large Numbers
Basic Probability Examples:
1) On an SAT and ACT test, a typical multiple choice question
has 5 possible answers. If you make a random guess on
one such question, what is the probability that your response
is wrong?
2) Consider the SAT and ACT test again, but now consider that
a 1/5 point penalty is assessed for incorrect answers and 1
point is assessed for correct answers. You are not penalized
for skipping questions. If there are 5 answers to choose from
and 20 questions, should you guess?
Basic Probability Examples (continued):
3) A couple has 3 children. Find the probability that:
• they will have exactly 2 boys
• they will have at least 1 boy
• they will have no boys
Complementary Events
• The complement of event A, denoted by 𝐴, consists of all
outcomes in which event A does not occur.
P(𝑨) = 1 – P(A)
• Example: The General Motors Corporation wants to
conduct tests of a new model of the Corvette. A pool of
50 drivers has been recruited, 20 of whom are men.
When the first person is selected from this pool, what is
the probability of not getting a male driver?
Fundamental Counting Principle
• If one event occurs m ways and a second event occurs n
ways, the number of events that both events can occur is
(m)(n)
• Example: The access code for a car’s security system
consists of four digits. How many codes are possible if:
• Each code can be used only once and not repeated?
• Each digit can be repeated?
•
• Each digit can be repeated but the first digit cannot be 0 or
1?
Odds
• Odds Against – The actual odds against event A are the
ratio P(𝑨) : P(A) in reduced form.
• Odds in Favor – The actual odds in favor of event A are the
reciprocal of the odds against that event, P(A) : P(𝑨) in
reduced form.
• Payoff odds – The payoff odds against A represent the
ratio of the net profit (if you win) to the amount bet.
Payoff odds against event A = (net profit) : (amount bet)
Odds Examples
• What are the odds against rolling a 5 when a single die is
rolled?
Odds Examples (continued)
If you bet $5 on the number 13 in roulette, your probability of
winning is 1/38 and the payoff odds are given by the casino
35:1.
• Find the actual odds against the outcome of 13.
• How much net profit would you make if you win by betting 13?
• If the casino were operating just for fun of it, and the payoffs odds were
changed to match the actual odds against 13, how much would you win
if the outcome were 13?
Assignment:
• Chapter 14 Practice
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