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Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2016 Room 150 Harvill Building 10: :50 Mondays, Wednesdays & Fridays. Welcome
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By the end of lecture today 10/17/16
Approaches to probability: Empirical, Subjective and Classical Law of Large Numbers Central Limit Theorem
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Before next exam (November 18th)
Please read chapters in OpenStax textbook Please read Chapters 2, 3, and 4 in Plous Chapter 2: Cognitive Dissonance Chapter 3: Memory and Hindsight Bias Chapter 4: Context Dependence
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Homework On class website: Please print and complete homework worksheet #12 Approaches to Probability and Dispersion. Due: Wednesday, October 19th Preview
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. Homework On class website: Please print and complete homework worksheet #12 Approaches to Probability and Dispersion. Due: Wednesday, October 19th Preview .1915 .3944 .4332 .3944 .3944 .2029 44 50 55 50 55 52 55 4 = -1.5 4 4 = +.5 = +1.25 z of 1.5 = area of .4332 z of .5 = area of .1915 1.25 = area of .3944 4 4 = +1.25 = +1.25 = .1056 z of 1.25 = area of .3944 z of 1.25 = area of .3944 = .8276 = .2029
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Lab sessions Everyone will want to be enrolled
in one of the lab sessions Labs continue With Project 1 Presentations
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Presentation Skills
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Presentation Skills
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Presentation Skills
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Lab sessions Everyone will want to be enrolled
in one of the lab sessions Labs continue With Project 1 Presentations
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66% chance of getting admitted
What is probability 1. Empirical probability: relative frequency approach Number of observed outcomes Number of observations Probability of getting into an educational program Number of people they let in 400 66% chance of getting admitted Number of applicants 600 Probability of getting a rotten apple Number of rotten apples 5 5% chance of getting a rotten apple Number of apples 100
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1. Empirical probability: relative frequency approach
What is probability 1. Empirical probability: relative frequency approach “There is a 20% chance that a new stock offered in an initial public offering (IPO) will reach or exceed its target price on the first day.” “More than 30% of the results from major search engines for the keyword phrase “ring tone” are fake pages created by spammers.” 10% of people who buy a house with no pool build one. What is the likelihood that Bob will? Number of observed outcomes Number of observations Probability of hitting the corvette Number of carts that hit corvette Number of carts rolled 182 = .91 200 91% chance of hitting a corvette
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= = 2. Classic probability: a priori probabilities based on logic
rather than on data or experience. All options are equally likely (deductive rather than inductive). Likelihood get question right on multiple choice test Chosen at random to be team captain Lottery Number of outcomes of specific event Number of all possible events In throwing a die what is the probability of getting a “2” Number of sides with a 2 1 16% chance of getting a two = Number of sides 6 In tossing a coin what is probability of getting a tail Number of sides with a 1 1 50% chance of getting a tail = Number of sides 2
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3. Subjective probability: based on someone’s personal
judgment (often an expert), and often used when empirical and classic approaches are not available. Likelihood that company will invent new type of battery Likelihood get a ”B” in the class 60% chance that Patriots will play at Super Bowl There is a 5% chance that Verizon will merge with Sprint Bob says he is 90% sure he could swim across the river
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Approach Example Empirical Classical Subjective
There is a 2 percent chance of twins in a randomly-chosen birth Classical There is a 50 % probability of heads on a coin flip. Subjective There is a 5% chance that Verizon will merge with Sprint
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The probability of event A [denoted P(A)], must lie
The probability of an event is the relative likelihood that the event will occur. The probability of event A [denoted P(A)], must lie within the interval from 0 to 1: 0 < P(A) < 1 If P(A) = 0, then the event cannot occur. If P(A) = 1, then the event is certain to occur.
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The probabilities of all simple events must sum to 1
P(S) = P(E1) + P(E2) + … + P(En) = 1 For example, if the following number of purchases were made by credit card: 32% debit card: 20% cash: 35% check: 13% Sum = 100% P(credit card) = .32 P(debit card) = .20 P(cash) = .35 P(check) = .13 Sum = 1.0 Probability
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Probability of getting into an educational program
What is the complement of the probability of an event The probability of event A = P(A). The probability of the complement of the event A’ = P(A’) A’ is called “A prime” Complement of A just means probability of “not A” P(A) + P(A’) = 100% P(A) = 100% - P(A’) P(A’) = 100% - P(A) Probability of getting a rotten apple 5% chance of “rotten apple” 95% chance of “not rotten apple” 100% chance of rotten or not Probability of getting into an educational program 66% chance of “admitted” 34% chance of “not admitted” 100% chance of admitted or not
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Two mutually exclusive characteristics: if the occurrence of any one of them automatically implies the non-occurrence of the remaining characteristic Two events are mutually exclusive if they cannot occur at the same time (i.e. they have no outcomes in common). Two propositions that logically cannot both be true. No Warranty Warranty For example, a car repair is either covered by the warranty (A) or not (B).
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Satirical take on being “mutually exclusive”
No Warranty Warranty Recently a public figure in the heat of the moment inadvertently made a statement that reflected extreme stereotyping that many would find highly offensive. It is within this context that comical satirists have used the concept of being “mutually exclusive” to have fun with the statement. Decent , family man Arab Transcript: Speaker 1: “He’s an Arab” Speaker 2: “No ma’am, no ma’am. He’s a decent, family man, citizen…”
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Collectively Exhaustive Events
Events are collectively exhaustive if their union is the entire sample space S. Two mutually exclusive, collectively exhaustive events are dichotomous (or binary) events. For example, a car repair is either covered by the warranty (A) or not (B). No Warranty Warranty
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∩ Union versus Intersection Union of two events means
Event A or Event B will happen ∩ P(A B) Intersection of two events means Event A and Event B will happen Also called a “joint probability” P(A ∩ B)
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The union of two events: all outcomes in the
sample space S that are contained either in event A or in event B or both (denoted A B or “A or B”). may be read as “or” since one or the other or both events may occur.
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The union of two events: all outcomes contained either in event A or in event B or both (denoted A B or “A or B”). What is probability of drawing a red card or a queen? what is Q R? It is the possibility of drawing either a queen (4 ways) or a red card (26 ways) or both (2 ways).
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P(Q) = 4/52 (4 queens in a deck) 2/52
Probability of picking a Queen Probability of picking a Red 4/52 26/52 P(Q) = 4/52 (4 queens in a deck) 2/52 P(R) = 26/52 (26 red cards in a deck) P(Q R) = 2/52 (2 red queens in a deck) Probability of picking both R and Q When you add the P(A) and P(B) together, you count the P(A and B) twice. So, you have to subtract P(A B) to avoid over-stating the probability. P(Q R) = P(Q) + P(R) – P(Q R) = 4/ /52 – 2/52 = 28/52 = or 53.85%
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∩ Union versus Intersection Union of two events means
Event A or Event B will happen ∩ P(A B) Intersection of two events means Event A and Event B will happen Also called a “joint probability” P(A ∩ B)
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The intersection of two events: all outcomes contained in both event A and event B (denoted A B or “A and B”) What is probability of drawing red queen? what is Q R? It is the possibility of drawing both a queen and a red card (2 ways).
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Thank you! See you next time!!
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