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Introduction to Probability Ginger Holmes Rowell, Middle TN State University MSP Workshop June 2007.

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Presentation on theme: "Introduction to Probability Ginger Holmes Rowell, Middle TN State University MSP Workshop June 2007."— Presentation transcript:

1 Introduction to Probability Ginger Holmes Rowell, Middle TN State University MSP Workshop June 2007

2 Objectives Understand the concepts ofUnderstand the concepts of sample space and probability distribution and construct sample spaces and distributions in simple casessample space and probability distribution and construct sample spaces and distributions in simple cases conditional probability and independent events; understand how to compute the probability of a compound eventconditional probability and independent events; understand how to compute the probability of a compound event Use simulations to construct empirical probability distributions and to make informal inferences about the theoretical probability distributionUse simulations to construct empirical probability distributions and to make informal inferences about the theoretical probability distribution

3 Probability Review DefinitionsDefinitions Classical ProbabilityClassical Probability Relative Frequency ProbabilityRelative Frequency Probability Probability Fundamentals and Probability RulesProbability Fundamentals and Probability Rules

4 What is Probability? ProbabilityProbability the study of chance associated with the occurrence of events the study of chance associated with the occurrence of events Types of ProbabilityTypes of Probability Classical (Theoretical)Classical (Theoretical) Relative Frequency (Experimental)Relative Frequency (Experimental)

5 Classical Probability Classical Probability Rolling dice and tossing a coin are activities associated with a classical approach to probability. In these cases, you can list all the possible outcomes of an experiment and determine the actual probabilities of each outcome. Rolling dice and tossing a coin are activities associated with a classical approach to probability. In these cases, you can list all the possible outcomes of an experiment and determine the actual probabilities of each outcome.

6 Listing All Possible Outcomes of a Probabilistic Experiment There are various ways to list all possible outcomes of an experimentThere are various ways to list all possible outcomes of an experiment EnumerationEnumeration Tree diagramsTree diagrams Additional methods – counting fundamentalsAdditional methods – counting fundamentals

7 Three Children Example A couple wants to have exactly 3 children. Assume that each child is either a boy or a girl and that each is a single birth.A couple wants to have exactly 3 children. Assume that each child is either a boy or a girl and that each is a single birth. List all possible orderings for the 3 children.List all possible orderings for the 3 children.

8 Enumeration 1 st Child 2 nd Child 3 rd Child

9 Enumeration 1 st Child 2 nd Child 3 rd Child BBB GBB BGB BBG GGB GBG BGG GGG

10 Tree Diagrams 1 st Child 2 nd Child 3 rd Child BBB B B G B G B G BBG BGB BGG GBB GBG GGB GGG G B G B G B G

11 Definitions Sample Space - the list of all possible outcomes from a probabilistic experiment.Sample Space - the list of all possible outcomes from a probabilistic experiment. 3-Children Example: S = {BBB, BBG, BGB, BGG, GBB, GBG, GGB, GGG}3-Children Example: S = {BBB, BBG, BGB, BGG, GBB, GBG, GGB, GGG} Each individual item in the list is called a Simple Event or Single Event.Each individual item in the list is called a Simple Event or Single Event.

12 Probability Notation P(event) = Probability of the event occurring Example: P(Boy) = P(B) = ½ Example: P(Boy) = P(B) = ½

13 Probability of Single Events with Equally Likely Outcomes Probability of Single Events with Equally Likely Outcomes If each outcome in the sample space is equally likely, then the probability of any one outcome is 1 divided by the total number of outcomes.If each outcome in the sample space is equally likely, then the probability of any one outcome is 1 divided by the total number of outcomes.

14 Three Children Example Continued A couple wants 3 children. Assume the chance of a boy or girl is equally likely at each birth.A couple wants 3 children. Assume the chance of a boy or girl is equally likely at each birth. What is the probability that they will have exactly 3 girls?What is the probability that they will have exactly 3 girls? What is the probability of having exactly 3 boys?What is the probability of having exactly 3 boys?

15 Probability of Combinations of Single Events An Event can be a combination of Single Events.An Event can be a combination of Single Events. The probability of such an event is the sum of the individual probabilities.The probability of such an event is the sum of the individual probabilities.

16 Three Children Example Continued P(exactly 2 girls) = __ P(exactly 2 boys) = __ P(at least 2 boys) = __ P(at most 2 boys) = __ P(at least 1 girl) = __ P(at most 1 girl) = __ Sample space =Sample space =

17 Types of Probability Classical (Theoretical)Classical (Theoretical) Relative Frequency (Experimental, Empirical)Relative Frequency (Experimental, Empirical)

18 Relative Frequency Probability Uses actual experience to determine the likelihood of an outcome.Uses actual experience to determine the likelihood of an outcome. What is the chance of making a B or better?What is the chance of making a B or better? GradeFrequency A20 B30 C40 Below C 10

19 Relative Frequency Probability is Great Fun for Teaching Rolling DiceRolling Dice Flipping CoinsFlipping Coins Drawing from Bags without Looking (i.e. Sampling)Drawing from Bags without Looking (i.e. Sampling) Sampling with M&M's (http://mms.com/cai/mms/faq.html #what_percent)Sampling with M&M's (http://mms.com/cai/mms/faq.html #what_percent)http://mms.com/cai/mms/faq.html #what_percenthttp://mms.com/cai/mms/faq.html #what_percent

20 Empirical Probability Given a frequency distribution, the probability of an event, E, being in a given group isGiven a frequency distribution, the probability of an event, E, being in a given group is

21 Two-way Tables and Probability FindFindP(M)P(A) P(A and M) Made A Made < A Total Male3045 Female6065 Total

22 Teaching Idea Question: How Can You Win at Wheel of Fortune?Question: How Can You Win at Wheel of Fortune? Answer: Use Relative Frequency Probability (see handout)Answer: Use Relative Frequency Probability (see handout) Source. Krulik and Rudnick. “Teaching Middle School Mathematics Activities, Materials and Problems.” p. 161. Allyn & Bacon, Boston. 2000.

23 Probability Fundamentals What is wrong with the statements?What is wrong with the statements? The probability of rain today is -10%.The probability of rain today is -10%. The probability of rain today is 120%.The probability of rain today is 120%. The probability of rain or no rain today is 90%.The probability of rain or no rain today is 90%.

24 Probability Rules Let A and B be events Complement Rule: P(A) + P(not A) = 1

25 Set Notation Union: A or B (inclusive “or”) Intersection: A and B

26 Probability Rules Union P(AUB) = P(A or B) Union P(AUB) = P(A or B)

27 Venn DiagramsVenn Diagrams Kyle Siegrist’s Venn Diagram AppletKyle Siegrist’s Venn Diagram Applet http://www.math.uah.edu/stat/appl ets/index.xml http://www.math.uah.edu/stat/appl ets/index.xml Teaching Idea

28 Two-way Tables and Probability FindFindP(M)P(A) P(A and M) P(A if M) Made A Made < A Total Male304575 Female6065125 Total90110200

29 Conditional Probability P(A|B) = the conditional probability of event A happening given that event B has happened “probability of A given B” “probability of A given B”

30 Independence Events A and B are “Independent” if and only ifEvents A and B are “Independent” if and only if Using the data in the two-way table, is making an “A” independent from being male?Using the data in the two-way table, is making an “A” independent from being male?

31 Homework


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