• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Probability of Simple, Independent, and Dependent Events (doc)
Probability of Simple, Independent, and Dependent Events (doc)

155S4.4 - Cape Fear Community College
155S4.4 - Cape Fear Community College

Probability Concepts
Probability Concepts

... Multiplicative Rule If A and b are any two events, then P(AB) = P(A) P(B|A) = P(B) P(A|B) If A and B are independent, then P(AB) = P(A)P(B) Example: Records indicate that for the parts coming out of a hydraulic repair shop at an airline rework facility, 20% will have a shaft defect, 10% will have a ...
(A – (A B)) - OLC Warehouse
(A – (A B)) - OLC Warehouse

... Part 1: Show that A  B ⊆ (A – (A  B))  (B – (A  B))  (A  B): Given any element x in A  B, x satisfies exactly one of the following three conditions: (1) x  A and x  B (2) x  A and x  B (3) x  B and x  A 1. In the first case, x  A  B, and so x  (A – (A  B))  (B – (A  B))  (A  B) ...
Document
Document

Notes 3 - Wharton Statistics
Notes 3 - Wharton Statistics

to view our Year-Long Objectives.
to view our Year-Long Objectives.

... the center of a door that is 27 1/2 inches wide, you will need to place the bar about 9 inches from each edge; this estimate can be used as a check on the exact computation. 7.EE.4 Use variables to represent quantities in a real-world or mathematical problem, and construct simple equations and inequ ...
Notes 2 - Wharton Statistics
Notes 2 - Wharton Statistics

... irrational for the person to assign P( A  B)  P( A)  P( B) . A similar argument can be made that it is irrational to assign P( A  B)  P( A)  P( B) . Similar arguments can be made that a rational person’s subjective probabilities should satisfy the other axioms of probability: (1) for an event ...
Relative Risk and Odds Ratio RR = P(disease|exposed) P(disease
Relative Risk and Odds Ratio RR = P(disease|exposed) P(disease

... distribution function of the Bernoulli random variable Y . Suppose the experiment is to select two individuals and record their smoking status. Let X denote the number of smokers in the pair. Then X = 0, 1, 2 are possible outcomes. What is the probability distribution function of X ? ...
Document
Document

... correct responses out of 5, or in other words 7 out of 100 times when calling directory assistance 5 times, we would get exactly 3 correct responses. b) Is this low? Why? Yes this is low. AT&T is correct 90% of the time, 3 out of 5 means correct 60% of the time, so not that likely, but NOT unusual s ...
P(A|B)
P(A|B)

WRL0583.tmp
WRL0583.tmp

... Suppose we have two events that can occur simultaneously, that is, can be done independently of one another. Then we can find the probability of both events occurring by using the following multiplication principle of probability. Multiplication Principle of Probability If two (ordered or labeled) e ...
Probability - Greer Middle College
Probability - Greer Middle College

Chapter 5: Regression - Memorial University of Newfoundland
Chapter 5: Regression - Memorial University of Newfoundland

... We generally denoted this event as A U B The intersection of two events A and B is the event that occurs if both A and B on a single performance of the experiment. We generally denoted this event as A  B Example: Consider the experiment of tossing a fair die in which following events are defined A ...
Combinatorics
Combinatorics

transparency of financial time series.(Topic 2)
transparency of financial time series.(Topic 2)

... only fortune but also misfortune. The man on the left personifies chance. He looks over at Fortune and holds up a stack of lottery tickets, which he is about to place inside a golden urn, a timely reference to the civic lotteries that had just become popular in Italy. The tickets may also refer to t ...
Example (cont.)
Example (cont.)

Section 2.6
Section 2.6

... Suppose we have two events that can occur simultaneously, that is, can be done independently of one another. Then we can find the probability of both events occurring by using the following multiplication principle of probability. Multiplication Principle of Probability If two (ordered or labeled) e ...
3.3 The Addition Rule
3.3 The Addition Rule

... P(A and B) = the probability of two events A and B, in sequence. Today you will learn how to find the probability that ____ __________ _____ of two events A and B will occur. In probability and statistics, the word _____ is usually used as an “inclusive OR” rather than an “exclusive OR.” For instanc ...
19.4 Mutually Exclusive and Overlapping Events Date: ______
19.4 Mutually Exclusive and Overlapping Events Date: ______

Lecture 1-2
Lecture 1-2

... In probability theory we would be dealing with random experiments and analyze their outcomes. The word ”random” means that : 1. the particular outcome of an experiment would be unknown, 2. all possible outcomes of the experiment would be known in advance, 3. the experiments can be repeated under ide ...
7th Grade Math Syllabus - Pepperell Middle School
7th Grade Math Syllabus - Pepperell Middle School

7th Grade Math Syllabus - Pepperell Middle School
7th Grade Math Syllabus - Pepperell Middle School

Statistics 512 Notes ID
Statistics 512 Notes ID

... second (cfs). An engineer wishes to compute the probability that the dam will be overtopped during the upcoming year. Over the previous 25-year period, the annual maximum flood levels of the dam had ranged from 629 to 4720 cfs and 1870 cfs had been exceeded 5 times. Modeling the 25 years as 25 indep ...
Why Statistics? - collingwoodresearch
Why Statistics? - collingwoodresearch

< 1 ... 144 145 146 147 148 149 150 151 152 ... 235 >

Ars Conjectandi



Ars Conjectandi (Latin for The Art of Conjecturing) is a book on combinatorics and mathematical probability written by Jakob Bernoulli and published in 1713, eight years after his death, by his nephew, Niklaus Bernoulli. The seminal work consolidated, apart from many combinatorial topics, many central ideas in probability theory, such as the very first version of the law of large numbers: indeed, it is widely regarded as the founding work of that subject. It also addressed problems that today are classified in the twelvefold way, and added to the subjects; consequently, it has been dubbed an important historical landmark in not only probability but all combinatorics by a plethora of mathematical historians. The importance of this early work had a large impact on both contemporary and later mathematicians; for example, Abraham de Moivre.Bernoulli wrote the text between 1684 and 1689, including the work of mathematicians such as Christiaan Huygens, Gerolamo Cardano, Pierre de Fermat, and Blaise Pascal. He incorporated fundamental combinatorial topics such as his theory of permutations and combinations—the aforementioned problems from the twelvefold way—as well as those more distantly connected to the burgeoning subject: the derivation and properties of the eponymous Bernoulli numbers, for instance. Core topics from probability, such as expected value, were also a significant portion of this important work.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report