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LSA.303 Introduction to Computational Linguistics
LSA.303 Introduction to Computational Linguistics

... • A way to reason about the outcome of an experiment based on partial information  In a word guessing game the first letter for the word is a “t”. What is the likelihood that the second letter is an “h”?  How likely is it that a person has a disease given that a medical test was negative?  A spot ...
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... (b) getting a number less than 7. (c) Getting a number greater than 2 or an odd number. 7. Two dice are rolled one time, find the probability of (a) getting a sum of 8. (b) getting a sum less than or equal to 4. (c) getting doubles. (d) getting a sum of 7 or 11. 8. If one card is drawn from a deck o ...
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... Office Hours by Instructor (3433 A.V. Williams Bldg): M, W 4-5:30, and by email appointment. Additional office hours will be offered by the TAs. Contact Information: [email protected]; 301-405-1925. The University of Maryland, College Park has a nationally recognized Code of Academic Integrity, ...
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Basic Concepts of Discrete Probability

... Probability Measure • Let us consider an event of interest A as the set of outcomes ak. • Let a real function m(ak ) be the probability measure of the outcome ak. • The probability measure of an event is defined as the sum of the probability measures associated with all the outcomes ak of that even ...
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Democritus (460

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Math109Quiz2Fall2011

... Indentify the sample space and the number of elements in the sample space of the probability experiment and determine the number of outcomes in the event. Draw a tree diagram. Experiment: Guessing the gender of the three children in a family Event: The family has two boys. ...
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syllabus - ProbStat2012

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Homework 1

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1. Introduction

... outcome is yet unknown to us but for which we know the possible set of outcomes in advance. The sample space is the set of possible outcomes. An event is a subset of the sample space. For example: • Tossing a coin twice is an experiment with sample space equal to ...
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Page 1 Math 141 - Exam 3 Review 1. A bag contains 2 red, 1 blue

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6.2 Probability Models

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CHAPTER 2--PROBABILITY

... Answer the two questions below if the instructor rolls a six-sided die. a. The probability of getting a “2” on the top face is _________ b. What assumption did you make in answering 2a ? ________________________________ ________________________________ 3. The FREQUENTIST Method How would you answer ...
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Probability

Probability is the measure of the likeliness that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher the probability of an event, the more certain we are that the event will occur. A simple example is the toss of a fair (unbiased) coin. Since the two outcomes are equally probable, the probability of ""heads"" equals the probability of ""tails"", so the probability is 1/2 (or 50%) chance of either ""heads"" or ""tails"".These concepts have been given an axiomatic mathematical formalization in probability theory (see probability axioms), which is used widely in such areas of study as mathematics, statistics, finance, gambling, science (in particular physics), artificial intelligence/machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems.
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