PPT-Comparing Mutually Exclusive Alternatives
Author : calandra-battersby | Published Date : 2018-03-06
Lecture No 18 Chapter 5 Contemporary Engineering Economics Copyright 2016 Comparing Mutually Exclusive Projects Basic Terminologies Revenue Versus Service Projects
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Comparing Mutually Exclusive Alternatives: Transcript
Lecture No 18 Chapter 5 Contemporary Engineering Economics Copyright 2016 Comparing Mutually Exclusive Projects Basic Terminologies Revenue Versus Service Projects Revenue Projects. The LS42 is fabricated with the Schottky barrier diode process for high speed and is completely compatible with all Motorola TTL families Multifunction Capability Mutually Exclusive Outputs Demultiplexing Capability Input Clamp Diodes Limit High Spe Two events: “ ” or “ Independent ” or Both or N either? Assume that we are working with two non - empty events , and . That is, ܲ ( ) and ܲ ( ) . Rec M. athematicians Anymore!!. Group VIII: Math/Science. Facilitator. : David Miller. Group Members. : Scott Brothers, Kristin . Duling. , Tiffany Frey, Michael Roberts, Joseph Walsh, and Dana . Wohlbach. Statistics Notes. Mutually Exclusive Events. In the previous section, you learned how to find the probability of two events, . A and B, . occurring in sequence. Such probabilities are denoted by . P(A and B). (ex – flipping a heads and rolling a 3). CCM2 Unit 6: Probability. Mutually Exclusive Events. Suppose you have a bag of 3 red marbles, 5 blue marbles, and 7 green marbles. What is the probability that you select a blue or a red marble? . Can these both occur at the same time? Why or why not?. Examples of independent events. You . flip a coin and get a heads . and. you flip a second coin and get a tails. . The . two coins don't influence each other. .. The . probability of rain today . Hipster Venn Diagram. What if…. We wanted the probability of event A happening OR event B happening. ?. To answer this we first must define a few things. Mutually exclusive events are…. two events that have . Sixth Edition. Chapter 3. Probability. Copyright © . 2015, 2012, 2009 . Pearson Education, Inc. All Rights Reserved. Chapter Outline. 3.1. Basic Concepts of Probability. 3.2. Conditional Probability and the Multiplication . October 14, 2009. Subjective Probability. Throughout the course I have used the word probability.. Yet I have not defined it. Instead I have relied on the assumption that you all have a sense of probability.. CCM2 Unit 6: Probability. Mutually Exclusive Events. Suppose you have a bag of 3 red marbles, 5 blue marbles, and 7 green marbles. What is the probability that you select a blue or a red marble? . Can these both occur at the same time? Why or why not?. Today we will…. Recap last week and correct homework. Mutually exclusive and non mutually exclusive events. Use of Venn Diagrams to represent mutually exclusive events. Mutually Exclusive Events. 1. Tree Diagrams and Mutually Exclusive Events True/false Reflect Your Turn Rule WIN LOSE 0.5 0.5 WIN LOSE D RAW WIN LOSE 0.5 0.5 1) WIN LOSE 7 ) WIN LOSE 0.3 0.3 2) WIN LOSE Mixture of Transparencies created by:. Dr. . Eick. and Dr. Russel. Reasoning and Decision Making Under Uncertainty. Quick Review Probability Theory . Bayes’ Theorem and Naïve Bayesian Systems. Bayesian Belief Networks. Module 2.3. 5.4 The Internal Rate of Return. IRR: the discount rate that sets NPV to . zero. IRR the rate that yields a break-even NPV . Minimum Acceptance Criteria: . Accept if the IRR exceeds the required return.
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