A newly hired telemarketer is told he will probably make a sale on about 12% of his phone calls. The first week he called 200 people, but only made 10.

Slides:



Advertisements
Similar presentations
Probability: The Study of Randomness
Advertisements

Warm-up: A junk box in your room contains a dozen old batteries, five of which are totally dead. You start picking batteries one at a time and testing.
Genetic Statistics Lectures (5) Multiple testing correction and population structure correction.
A Survey of Probability Concepts
W HICH OF THE FOLLOW STATISTICS IS NOT TRUE ? Slide More than 50% of American adults are single. 2. For the average individual, the number of years.
A.P. STATISTICS LESSON 6 – 2 (DAY2) PROBABILITY RULES.
Randomness and Probability
Chapter 4 Probability and Probability Distributions
From Randomness to Probability
Do you know when Exam 1 is? Yes No I need a break.
1 Business 90: Business Statistics Professor David Mease Sec 03, T R 7:30-8:45AM BBC 204 Lecture 13 = Finish Chapter “ Basic Probability” (BP) Agenda:
Learning Goal 13: Probability Use the basic laws of probability by finding the probabilities of mutually exclusive events. Find the probabilities of dependent.
Chapter 17 – AP Statistics
If P(A) = 0.24 and P(B) = 0.52 and events A and B are independent, what is P(A or B)? E) The answer cannot be determined from the information given. C)
Mutually Exclusive: P(not A) = 1- P(A) Complement Rule: P(A and B) = 0 P(A or B) = P(A) + P(B) - P(A and B) General Addition Rule: Conditional Probability:
© Buddy Freeman, 2015Probability. Segment 2 Outline  Basic Probability  Probability Distributions.
Probability : Combined events 2
Copyright © 2011 Pearson Education, Inc. Probability Chapter 7.
CHAPTER 5 PROBABILITY. CARDS & DICE BLACKRED CLUBSPADEDIAMONDHEARTTOTAL ACE11114 FACE CARD (K, Q, J) NUMBERED CARD (1-9) TOTAL13 52.
Chapter 15: Probability Rules!
Special Topics. Definitions Random (not haphazard): A phenomenon or trial is said to be random if individual outcomes are uncertain but the long-term.
Probability Denoted by P(Event) This method for calculating probabilities is only appropriate when the outcomes of the sample space are equally likely.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Basic Principle of Statistics: Rare Event Rule If, under a given assumption,
1 Probability. 2 Today’s plan Probability Notations Laws of probability.
Probability(C14-C17 BVD) C14: Introduction to Probability.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Some Probability Rules Compound Events
Copyright © 2014, 2011 Pearson Education, Inc. 1 Chapter 7 Probability.
Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.
Probability Probability is the measure of how likely an event is. An event is one or more outcomes of an experiment. An outcome is the result of a single.
Simulation Conditional Probability Venn Diagrams Tree Diagrams
Dr. Omar Al Jadaan Probability. Simple Probability Possibilities and Outcomes Expressed in the form of a fraction A/B Where A is the occurrence B is possible.
Week 21 Conditional Probability Idea – have performed a chance experiment but don’t know the outcome (ω), but have some partial information (event A) about.
Copyright © 2010 Pearson Education, Inc. Chapter 6 Probability.
Recap from last lesson Compliment Addition rule for probabilities
Copyright © 2010 Pearson Education, Inc. Slide
From Randomness to Probability Chapter 14. Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen,
12.4 Probability of Compound Events. Vocabulary Compound Event: the union or intersection of two events. Mutually Exclusive Events: events A and B are.
Probability Rules. We start with four basic rules of probability. They are simple, but you must know them. Rule 1: All probabilities are numbers between.
Conditional Probability and Multiplication Rule Section 3.2.
POD #5012/2/ B #6b Is this model appropriate? Write the equation of the LSRL.
Chapter 4 Probability, Randomness, and Uncertainty.
1.Addition Rule 2.Multiplication Rule 3.Compliments 4.Conditional Probability 5.Permutation 6.Combinations 7.Expected value 8.Geometric Probabilities 9.Binomial.
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
To find the probability of two events occurring together, you have to decide whether one even occurring affects the other event. * Dependent Events—the.
Probability. 3.1 Events, Sample Spaces, and Probability Sample space - The set of all possible outcomes for an experiment Roll a die Flip a coin Measure.
Week 21 Rules of Probability for all Corollary: The probability of the union of any two events A and B is Proof: … If then, Proof:
Chapter 14 From Randomness to Probability. Dealing with Random Phenomena A random phenomenon: if we know what outcomes could happen, but not which particular.
Probability. Randomness When we produce data by randomized procedures, the laws of probability answer the question, “What would happen if we did this.
Probability Class Homework Check Assignment: Chapter 7 – Exercise 7.5, 7.7, 7.10 and 7.12 Reading: Chapter 7 – p
Probability Models Section 6.2.
Basic statistics Usman Roshan.
Statistics 200 Lecture #11 Tuesday, September 27, 2016
Elementary Probability Theory
International Studies Charter School.
Business Statistics Topic 4
Although winning the Texas Lottery Jackpot is a very unlikely event, there are still other prizes you can win. What is the Expected winnings on a $1 bet?
Probability.
3.4 The Binomial Distribution
If P(A) = 0.24 and P(B) = 0.52 and events A and B are independent, what is P(A or B)? E) The answer cannot be determined from the information given. C)
Probability Models Section 6.2.
True False True False True False Starter – True or False
Chapter 14 – From Randomness to Probability
Section 6.2 Probability Models
How to Interpret Probability Mathematically, the probability that an event will occur is expressed as a number between 0 and 1. Notationally, the.
Chapter 4 Probability 4.2 Basic Concepts of Probability
Section 14.5 – Independent vs. Dependent Events
Dan’s Diner employs three dishwashers
An Introduction to….
Presentation transcript:

A newly hired telemarketer is told he will probably make a sale on about 12% of his phone calls. The first week he called 200 people, but only made 10 sales. Should he suspect he was misled about the true success rate?

Scientists wish to test the mind-reading ability of a person who claims to “have ESP.” They use five cards with different and distinctive symbols (square, circle, triangle, line, squiggle). Someone picks a card at random and thinks about the symbol. The “mind reader” must correctly identify which symbol was on the card. If the test consists of 100 trials, how many would this person need to get right in order to convince you that ESP may actually exist? Explain.

A lecture hall has 200 seats with folding arm tablets, 30 of which are designed for left-handers. The average size of classes that meet there is 188, and we can assume that about 13% of students are left-handed. What’s the probability that a right-handed student in one of these classes is forced to use a lefty arm tablet?

A grocery supplier believes that in a dozen eggs, the mean number of broken ones is 0.6 with a standard deviation of 0.5 eggs. You buy 3 dozen eggs without checking them. How many broken eggs do you expect to get? What’s the standard deviation?

TEST TOPICS What is probability? Law of Large Numbers – In the long run . . . Independent Events (Multiplication Rule) Complement Rule Disjoint Events (mutually exclusive)

General Addition Rule P(A U B) = P(A) + P (B) – P(A ∩ B) General Multiplication Rule Tree Diagrams Drawing With/Without Replacement Expected Value Problem Bernoulli Trials Binom (n,p) Link to the Normal Model n = number of trials Mean/Standard Deviation p = probability of success X = number of successes in n trials Permutations/Combinations

Dishwashers Dan’s Diner employs three dishwashers, Al washes 40% of the dishes and breaks only 1% of those he handles. Betty and Chuck each wash 30% of the dishes, and Betty breaks only 1% of hers, but Chuck breaks 3% of the dishes he washes. You go to Dan’s for supper one night and hear a dish break at the sink. What’s the probability that Chuck is on the job?