• 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
Beyond Hypothesis Testing
Beyond Hypothesis Testing

Chapter 4
Chapter 4

... 4-2 Mean, Variance and Expectation for Discrete Variable The mean of the random variable of a probability distribution is m = X  P( X ) + X  P( X ) + ... + X  P( X ) =  X  P( X ) where X , X ,..., X are the outcomes and P( X ), P( X ), ... , P( X ) are the corresponding ...
PM12 - Probability Lesson 3
PM12 - Probability Lesson 3

... 1) A 4 digit PIN number can begin with any digit (except zero) and the remaining digits have no restriction. If repeated digits are allowed, find the probability of the PIN code beginning with a number greater than 7 and ending with a 3. 2) A security code consists of 6 digits, which may be any numb ...
Document
Document

... Random Variables … A random variable is a variable which takes on numerical values in accordance with some probability distribution. … Random variables may be either continuous (taking on real numbers) or discrete (usually taking on non-negative integer values). … The probability distribution which ...
Here - Millersville University
Here - Millersville University

Chapter 2 - Sequential Experiments
Chapter 2 - Sequential Experiments

Basic Probability And Probability Distributions
Basic Probability And Probability Distributions

... A manufacturer of VCRs purchases a particular microchip, called the LS-24, from three suppliers: Hall Electronics, Spec Sales, and Crown Components. Thirty percent of the LS-24 chips are purchased from Hall, 20% from Spec, and the remaining 50% from Crown. The manufacturer has extensive past record ...
Topic 3: Introduction to Probability
Topic 3: Introduction to Probability

Basic Probability And Probability Distributions
Basic Probability And Probability Distributions

Lecture 13
Lecture 13

t/l/#6 titanic problem - Youngstown City Schools
t/l/#6 titanic problem - Youngstown City Schools

Problem Set Section 3.1 Probability Basics Indentifying Probabilities
Problem Set Section 3.1 Probability Basics Indentifying Probabilities

... 13. Cheating: In a survey of college students, 876 said that they have cheated on an exam and 1765 said that they have not. a. If one college student is select at random, find the probability that the student has cheated. b. Find the probability of the compliment of the event defined in part a. c. ...
QMB 2100 Basic Business Statistics – Spring 2014 Practice Test #2 B
QMB 2100 Basic Business Statistics – Spring 2014 Practice Test #2 B

... 8. An experiment consists of tossing 4 coins successively. The number of sample points in this experiment is a. 16 b. 8 c. 4 d. 2 9. A lottery is conducted using three urns. Each urn contains chips numbered from 0 to 9. One chip is selected at random from each urn. The total number of sample points ...
6-1A Lecture
6-1A Lecture

Probability, Analysis and Number Theory. Papers in Honour of N. H.
Probability, Analysis and Number Theory. Papers in Honour of N. H.

... was already clear that he is a force of nature. He then went to Swansea for 16 years; rumour had it that he was systematically working through Itô and McKean, a famously formidable book, in great detail. He is a probabilist’s ...
Summary notes 2
Summary notes 2

Introduction to Discrete Probability y Terminology Probability definition
Introduction to Discrete Probability y Terminology Probability definition

Lecture Notes on Finite Probability Spaces
Lecture Notes on Finite Probability Spaces

Chapter 4
Chapter 4

cheneyslides
cheneyslides

... Now we have an internal theory of probability which is closely related to a realistic programming system. For appropriate domains, we should be able to prove all the results of classical probability theory. The constructors and operations from the programming model allow us to relate probability dis ...
Introduction to Probability - Finite Mathematics Section 6.2
Introduction to Probability - Finite Mathematics Section 6.2

7.1 Sample space, events, probability Pascal
7.1 Sample space, events, probability Pascal

Statistics 100A Homework 2 Solutions
Statistics 100A Homework 2 Solutions

Analysis of State Transitions
Analysis of State Transitions

Grade 7 Mathematics Module 5, Topic A, Lesson 6
Grade 7 Mathematics Module 5, Topic A, Lesson 6

< 1 ... 91 92 93 94 95 96 97 98 99 ... 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