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BASIC PROBABILITY
Some terminologies
 Experimental Probability
    - is the other type of probability, which is based on
    experiments                         frequency of an
    outcome/number of trials.
    - it is the ratio of the number of times an outcome occured
    to the                      total of events or trials.
    experimental probability = frequency of an outcome/total
    number of trials.
   Theoretical Probability - mathematically determined.
   Simulation - is the process of finding the experimental
    probability
   Empirical Study - performing experiment repeatedly,
    collect, and combine the data and analyzing the results.
   Probability Histogram - a bar chart used for data
    involving probabilities
1. Counting
Arrangements/Outcomes
 one way to count the number of
  possible outcomes graphically is
  tree diagram.
 the list of all possible outcomes
  is called the sample space.
 event - a collection of one or
  more outcomes in the sample
  space
COUNTING ARRANGEMENTS = HOW MANY
    ARRANGEMENTS?  USE FACTORIAL

FACTORIAL - is the product of all positive integers
  from n counting backwards to 1, denoted by n!.
Example: find 5!
5! means 5 x 4 x 3 x 2 x 1
5! = 5 x 4 x 3 x 2 x 1
5! = 120
SAMPLE PROBLEM:
How many ways can you arrange your 10 books in
  a shelf?
Answer: USE FACTORIAL 10! = 3,628,800
2. THE FUNDAMENTAL PRINCIPLE
  OF COUNTING
Fundamental Principle of Counting says that:
   “If event M can occur in m ways and is followed by an
  event N that can occur in n ways, then the event M
  followed by event N can occur in n times m ways.”
EXAMPLE, A and B are two events. To know how many
  ways A and B can occur, multiply the number of ways
  for A by the ways for B.
SAMPLE PROBLEM: If a restaurant offers 10 different
  types of burgers, 5 different types of pizza, and 3
  different beverages, how many combinations/meals
  can you pick?
ANSWER: use FPC!
Let x = number of meals
M = 10 x 5 x 3
M = 150
Then, you can choose from 150 meals.
3. PERMUTATION AND
COMBINATION
PERMUTATION - arrangement or listing of
 numbers in which the order does matter
FORMULA:           nPr = n! / (n-r)!
where n = total number of possible outcomes
     r = number of items taken at a time
COMBINATION - arrangement or listing of numbers
 in which the order does not matter
FORMULA:          nCr = n! / (n-r)!r!
where n = total number of possible outcomes
     r = number of items taken at a time
4. some types of events
1) simple event - a single event
2) compound event - two or more simple events
3) independent event - two or more events
  wherein one event do not affect other event's
  outcome
4) dependent event - two or more events wherein
  one event affect the other's outcome
5) mutually exclusive event - two events wherein
  one event cannot happen with the second event
  at the same time
6) inclusive events - two events in which one
  event can happen at the same time with the
5. finding the probabilities.
 THE PROBABILITY OF INDEPENDENT EVENT
 - if two events are independent, then the
 probability of both A and B to occur is the product
 of the individual probabilities of the two events.
 P(A and B) = P(A) times P(B)

 THE PROBABILITY OF DEPENDENT EVENT
 - if two events are dependent, then the probability
 of both A and B to occur is the product of the
 probability of A and the probability of B after the
 event A.
 P(A and B) [dependent] = P(A) times P(B after
 A)
 THE PROBABILITY OF MUTUALLY EXCLUSIVE
 EVENTS
 - if two events are mutually exclusive events, then
 the probability that both A or B to occur is the sum of
 the probabilities of A and B.
 P(A or B) = P(A) + P(B)

 THE PROBABILITY OF INCLUSIVE EVENTS
 - if two events are inclusive events, then the
 probability for both A or B to occur is the sum of the
 probabilities of A and B decreased by the probability
 of both A and B to occur.
 P(A or B) = P(A) + P(B) - P(A and B)

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Basic Probability for Early Learners

  • 2. Some terminologies  Experimental Probability - is the other type of probability, which is based on experiments frequency of an outcome/number of trials. - it is the ratio of the number of times an outcome occured to the total of events or trials. experimental probability = frequency of an outcome/total number of trials.  Theoretical Probability - mathematically determined.  Simulation - is the process of finding the experimental probability  Empirical Study - performing experiment repeatedly, collect, and combine the data and analyzing the results.  Probability Histogram - a bar chart used for data involving probabilities
  • 3. 1. Counting Arrangements/Outcomes  one way to count the number of possible outcomes graphically is tree diagram.  the list of all possible outcomes is called the sample space.  event - a collection of one or more outcomes in the sample space
  • 4. COUNTING ARRANGEMENTS = HOW MANY ARRANGEMENTS?  USE FACTORIAL FACTORIAL - is the product of all positive integers from n counting backwards to 1, denoted by n!. Example: find 5! 5! means 5 x 4 x 3 x 2 x 1 5! = 5 x 4 x 3 x 2 x 1 5! = 120 SAMPLE PROBLEM: How many ways can you arrange your 10 books in a shelf? Answer: USE FACTORIAL 10! = 3,628,800
  • 5. 2. THE FUNDAMENTAL PRINCIPLE OF COUNTING Fundamental Principle of Counting says that: “If event M can occur in m ways and is followed by an event N that can occur in n ways, then the event M followed by event N can occur in n times m ways.” EXAMPLE, A and B are two events. To know how many ways A and B can occur, multiply the number of ways for A by the ways for B. SAMPLE PROBLEM: If a restaurant offers 10 different types of burgers, 5 different types of pizza, and 3 different beverages, how many combinations/meals can you pick? ANSWER: use FPC! Let x = number of meals M = 10 x 5 x 3 M = 150 Then, you can choose from 150 meals.
  • 6. 3. PERMUTATION AND COMBINATION PERMUTATION - arrangement or listing of numbers in which the order does matter FORMULA: nPr = n! / (n-r)! where n = total number of possible outcomes r = number of items taken at a time COMBINATION - arrangement or listing of numbers in which the order does not matter FORMULA: nCr = n! / (n-r)!r! where n = total number of possible outcomes r = number of items taken at a time
  • 7. 4. some types of events 1) simple event - a single event 2) compound event - two or more simple events 3) independent event - two or more events wherein one event do not affect other event's outcome 4) dependent event - two or more events wherein one event affect the other's outcome 5) mutually exclusive event - two events wherein one event cannot happen with the second event at the same time 6) inclusive events - two events in which one event can happen at the same time with the
  • 8. 5. finding the probabilities.  THE PROBABILITY OF INDEPENDENT EVENT - if two events are independent, then the probability of both A and B to occur is the product of the individual probabilities of the two events. P(A and B) = P(A) times P(B)  THE PROBABILITY OF DEPENDENT EVENT - if two events are dependent, then the probability of both A and B to occur is the product of the probability of A and the probability of B after the event A. P(A and B) [dependent] = P(A) times P(B after A)
  • 9.  THE PROBABILITY OF MUTUALLY EXCLUSIVE EVENTS - if two events are mutually exclusive events, then the probability that both A or B to occur is the sum of the probabilities of A and B. P(A or B) = P(A) + P(B)  THE PROBABILITY OF INCLUSIVE EVENTS - if two events are inclusive events, then the probability for both A or B to occur is the sum of the probabilities of A and B decreased by the probability of both A and B to occur. P(A or B) = P(A) + P(B) - P(A and B)