MGMT 322 T UTORIAL 4 QUIZ 4 2013-11-14. Q UESTION 1 A) Define Statistically Dependent and Independent Events. B) Give 2 examples for independent events.

Slides:



Advertisements
Similar presentations
Multiplication Rule: Basics
Advertisements

EXAMPLE 1 Standardized Test Practice SOLUTION Let events A and B be getting the winning ticket for the gift certificate and movie passes, respectively.
Section 3 Conditional Probability, Intersection, and Independence
Dependent and Independent Events. If you have events that occur together or in a row, they are considered to be compound events (involve two or more separate.
Independent Events Let A and B be two events. It is quite possible that the percentage of B embodied by A is the same as the percentage of S embodied by.
Probability Concepts Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College Publishing.
Union… The union of two events is denoted if the event that occurs when either or both event occurs. It is denoted as: A or B We can use this concept to.
Bayes’ Rule Anchors: Olyvia Dean Viral Patel Eric Van Beek Group: Helium δ November 6, 2007.
Probability Concepts and Applications
Probability (cont.). Assigning Probabilities A probability is a value between 0 and 1 and is written either as a fraction or as a proportion. For the.
Key Concepts of the Probability Unit
3.2 Conditional Probability & the Multiplication Rule Statistics Mrs. Spitz Fall 2008.
Adapted from Walch Education The conditional probability of B given A is the probability that event B occurs, given that event A has already occurred.
Chapter 2 Probability Concepts and Applications
5.3B Conditional Probability and Independence Multiplication Rule for Independent Events AP Statistics.
Chapter 8 Probability Section R Review. 2 Barnett/Ziegler/Byleen Finite Mathematics 12e Review for Chapter 8 Important Terms, Symbols, Concepts  8.1.
6.3 Conditional Probability.  Calculate Conditional Probabilities  Determine if events are independent.
A.P. STATISTICS LESSON 6.3 ( DAY 2 ) GENERAL PROBABILITY RULES ( EXTENDED MULTIPLICATION RULES )
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Dependent and Independent Events. Events are said to be independent if the occurrence of one event has no effect on the occurrence of another. For example,
Introductory Statistics Lesson 3.2 B Objectives: SSBAT use the multiplication rule to find the probability of 2 events occurring in sequence. SSBAT use.
Chapter 12 Probability. Chapter 12 The probability of an occurrence is written as P(A) and is equal to.
AP STATISTICS LESSON 6.3 (DAY 1) GENERAL PROBABILITY RULES.
Warm-up A statistical report states that 68% of adult males in China smoke. What is the probability that five randomly selected adult males from China.
Section 3.2 Notes Conditional Probability. Conditional probability is the probability of an event occurring, given that another event has already occurred.
Copyright © Cengage Learning. All rights reserved. Elementary Probability Theory 5.
Probability You’ll probably like it!. Probability Definitions Probability assignment Complement, union, intersection of events Conditional probability.
12/7/20151 Math b Conditional Probability, Independency, Bayes Theorem.
Chapter 4 (continued) Nutan S. Mishra Department of Mathematics and Statistics University of South Alabama.
Probability. Rules  0 ≤ P(A) ≤ 1 for any event A.  P(S) = 1  Complement: P(A c ) = 1 – P(A)  Addition: If A and B are disjoint events, P(A or B) =
Conditional Probability: the likelihood that an event will occur GIVEN that another event has already occurred. A two way table & tree diagrams can represent.
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
Conditional Probability and Intersection of Events Section 13.3.
11.7 Continued Probability. Independent Events ► Two events are independent if the occurrence of one has no effect on the occurrence of the other ► Probability.
9-7Independent and Dependent Events 9-7 Independent and Dependent Events (pg ) Indicator: D7.
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
Starter P(A) = ½, P(B) = ⅓ and P(A B) = p Find p if:
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
© 2013 Pearson Education, Inc. Reading Quiz For use with Classroom Response Systems Introductory Statistics: Exploring the World through Data, 1e by Gould.
16.2 Probability of Events Occurring Together
Conditional Probability If two events are not mutually exclusive, the fact that we know that B has happened will have an effect on the probability of A.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 4 Probability.
CHAPTER 12 General Rules of Probability BPS - 5TH ED.CHAPTER 12 1.
Chapter 8 Probability Section 3 Conditional Probability, Intersection, and Independence.
Probability Probability Day 3 Introduction to Probability Probability of Independent Events.
Independent, not independent???
Conditional Probability & the Multiplication Rule
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman
Chapter 3 Probability.
Chapter 4 Probability.
Sec. 5-4: Multiplication Rule & Conditional P(x)
Multiplication Rule and Conditional Probability
Advanced Placement Statistics
Introduction to Probability & Statistics Expectations
Independent vs. Dependent events
2 or more does NOT affects.
Wed + nes + day! Warm-Up… Quickwrite…
Introduction to Probability
General Probability Rules
Conditional Probability
12.5 Find Probabilities of (In)dependent Events
Probability Multiplication law for dependent events
Review: Mini-Quiz Combined Events
Chapter 3 & 4 Notes.
Investigation Write down the sample space for throwing a die and tossing a coin. 1T 2T 3T 4T 5T 6T 1H 2H 3H 4H 5H 6H   From the sample space calculate:
Chapter 5 – Probability Rules
Compound Events – Independent and Dependent
Probability.
Presentation transcript:

MGMT 322 T UTORIAL 4 QUIZ

Q UESTION 1 A) Define Statistically Dependent and Independent Events. B) Give 2 examples for independent events and explain why these 2 events are statistically independent. C) Give 2 examples for dependent events and explain why these 2 events are statistically dependent.

Q UESTION 1 Statistically Independent Events Two events are said to be independent of each other in statistical sense only if the probability of occurrence of an event is not affected by (or dependent upon) the occurrence of the other event. Example Events: A: Siroos goes to IRAN next Tuesday B: Istanbul stock market decreases by more than 10% next Friday. Therefore: Event A and B are Independent events because the occurrence of event “A” does not have an impact on the probability of the occurrence of event “B”.

Q UESTION 1 Statistically Dependent Events Two events are said to be dependent events if the probability of the occurrence of an event is affected by (or dependent upon) the occurrence of the other event. Example Events: A: Stock Market Index rises tomorrow B: Interest rates go down today Therefore: Event A and B are Dependent because the occurrence of event “B” is expected to increase the probability of the event “A

Q UESTION 2 If events A and B are independent How can we obtain joint probability of these two events How can we obtain probability of event A given that event B occurs? Note: Just write the formula that you need to use in each case

Q UESTION 2 A) P(AB) = P(A) * P(B) P(BA) = P(B) * P(A) B) P(A/B) = P(A) A and B are independent events.

Q UESTION 3 The probability of this year’s growth rate of Turkey to be more than 5% is 0.20 and the probability of Barcelona winning this year’s champions league is 0.4 A) Calculate the joint probability of these two events. B) Probability of Turkey’s growth to be more than 5% if Barcelona wins champions league. C) Probability of Turkeys growth rate to be less than or equal to 5% if Barcelona wins this year’s champions league

Q UESTION 3 A) Events: G: this year’s growth rate of Turkey to be more than 5% W: Barcelona winning this year’s champions league joint probability: P(GW)= P(G)P(W)= 0.4*0.2 =0.08

Q UESTION 3 B) P(G/W)= P(G)= 0.2 C) L: Turkeys growth rate to be less than or equal to 5% P(L/W)= P(L)= 1-0.2= 0.8