1.
Greek alphabet
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It is the ancestor of the Latin and Cyrillic scripts. In its classical and modern forms, the alphabet has 24 letters, Modern and Ancient Greek use different diacritics. In standard Modern Greek spelling, orthography has been simplified to the monotonic system, examples In both Ancient and Modern Greek, the letters of the Greek alphabet have fairly stable and consistent symbol-to-sound mappings, making pronunciation of words largely predictable. Ancient Greek spelling was generally near-phonemic, among consonant letters, all letters that denoted voiced plosive consonants and aspirated plosives in Ancient Greek stand for corresponding fricative sounds in Modern Greek. This leads to groups of vowel letters denoting identical sounds today. Modern Greek orthography remains true to the spellings in most of these cases. The following vowel letters and digraphs are involved in the mergers, Modern Greek speakers typically use the same, modern, in other countries, students of Ancient Greek may use a variety of conventional approximations of the historical sound system in pronouncing Ancient Greek. Several letter combinations have special conventional sound values different from those of their single components, among them are several digraphs of vowel letters that formerly represented diphthongs but are now monophthongized. In addition to the three mentioned above, there is also ⟨ου⟩, pronounced /u/, the Ancient Greek diphthongs ⟨αυ⟩, ⟨ευ⟩ and ⟨ηυ⟩ are pronounced, and respectively in voicing environments in Modern Greek. The Modern Greek consonant combinations ⟨μπ⟩ and ⟨ντ⟩ stand for and respectively, ⟨τζ⟩ stands for, in addition, both in Ancient and Modern Greek, the letter ⟨γ⟩, before another velar consonant, stands for the velar nasal, thus ⟨γγ⟩ and ⟨γκ⟩ are pronounced like English ⟨ng⟩. There are also the combinations ⟨γχ⟩ and ⟨γξ⟩ and these signs were originally designed to mark different forms of the phonological pitch accent in Ancient Greek. The letter rho, although not a vowel, also carries a rough breathing in word-initial position, if a rho was geminated within a word, the first ρ always had the smooth breathing and the second the rough breathing leading to the transiliteration rrh. The vowel letters ⟨α, η, ω⟩ carry an additional diacritic in certain words, the iota subscript. This iota represents the former offglide of what were originally long diphthongs, ⟨ᾱι, ηι, ωι⟩, another diacritic used in Greek is the diaeresis, indicating a hiatus. In 1982, a new, simplified orthography, known as monotonic, was adopted for use in Modern Greek by the Greek state. Although it is not a diacritic, the comma has a function as a silent letter in a handful of Greek words, principally distinguishing ό. There are many different methods of rendering Greek text or Greek names in the Latin script, the form in which classical Greek names are conventionally rendered in English goes back to the way Greek loanwords were incorporated into Latin in antiquity. In this system, ⟨κ⟩ is replaced with ⟨c⟩, the diphthongs ⟨αι⟩ and ⟨οι⟩ are rendered as ⟨ae⟩ and ⟨oe⟩ respectively, and ⟨ει⟩ and ⟨ου⟩ are simplified to ⟨i⟩ and ⟨u⟩ respectively
2.
Euler diagram
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An Euler diagram is a diagrammatic means of representing sets and their relationships. Typically they involve overlapping shapes, and may be scaled, such that the area of the shape is proportional to the number of elements it contains and they are particularly useful for explaining complex hierarchies and overlapping definitions. They are often confused with the Venn diagrams, unlike Venn diagrams which show all possible relations between different sets, the Euler diagram shows only relevant relationships. The first use of Eulerian circles is commonly attributed to Swiss mathematician Leonhard Euler, in the United States, both Venn and Euler diagrams were incorporated as part of instruction in set theory as part of the new math movement of the 1960s. Since then, they have also adopted by other curriculum fields such as reading as well as organizations. Euler diagrams consist of simple closed shapes in a two dimensional plane that depict a set or category. How or if these shapes overlap demonstrates the relationships between the sets, there are only 3 possible relationships between any 2 sets, completely inclusive, partially inclusive, and exclusive. This is also referred to as containment, overlap or neither or, especially in mathematics, it may be referred to as subset, intersection, curves whose interior zones do not intersect represent disjoint sets. Two curves whose interior zones intersect represent sets that have common elements, a curve that is contained completely within the interior zone of another represents a subset of it. Venn diagrams are a more form of Euler diagrams. A Venn diagram must contain all 2n logically possible zones of overlap between its n curves, representing all combinations of inclusion/exclusion of its constituent sets. Regions not part of the set are indicated by coloring them black, in contrast to Euler diagrams, when the number of sets grows beyond 3 a Venn diagram becomes visually complex, especially compared to the corresponding Euler diagram. The difference between Euler and Venn diagrams can be seen in the following example, the Venn diagram, which uses the same categories of Animal, Mineral, and Four Legs, does not encapsulate these relationships. Traditionally the emptiness of a set in Venn diagrams is depicted by shading in the region, Euler diagrams represent emptiness either by shading or by the absence of a region. Often a set of conditions are imposed, these are topological or geometric constraints imposed on the structure of the diagram. For example, connectedness of zones might be enforced, or concurrency of curves or multiple points might be banned, in the adjacent diagram, examples of small Venn diagrams are transformed into Euler diagrams by sequences of transformations, some of the intermediate diagrams have concurrency of curves. However, this sort of transformation of a Venn diagram with shading into an Euler diagram without shading is not always possible. There are examples of Euler diagrams with 9 sets that are not drawable using simple closed curves without the creation of unwanted zones since they would have to have non-planar dual graphs
3.
Computer science
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Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. An alternate, more succinct definition of science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems and its fields can be divided into a variety of theoretical and practical disciplines. Some fields, such as computational complexity theory, are highly abstract, other fields still focus on challenges in implementing computation. Human–computer interaction considers the challenges in making computers and computations useful, usable, the earliest foundations of what would become computer science predate the invention of the modern digital computer. Machines for calculating fixed numerical tasks such as the abacus have existed since antiquity, further, algorithms for performing computations have existed since antiquity, even before the development of sophisticated computing equipment. Wilhelm Schickard designed and constructed the first working mechanical calculator in 1623, in 1673, Gottfried Leibniz demonstrated a digital mechanical calculator, called the Stepped Reckoner. He may be considered the first computer scientist and information theorist, for, among other reasons and he started developing this machine in 1834, and in less than two years, he had sketched out many of the salient features of the modern computer. A crucial step was the adoption of a card system derived from the Jacquard loom making it infinitely programmable. Around 1885, Herman Hollerith invented the tabulator, which used punched cards to process statistical information, when the machine was finished, some hailed it as Babbages dream come true. During the 1940s, as new and more powerful computing machines were developed, as it became clear that computers could be used for more than just mathematical calculations, the field of computer science broadened to study computation in general. Computer science began to be established as an academic discipline in the 1950s. The worlds first computer science program, the Cambridge Diploma in Computer Science. The first computer science program in the United States was formed at Purdue University in 1962. Since practical computers became available, many applications of computing have become distinct areas of study in their own rights and it is the now well-known IBM brand that formed part of the computer science revolution during this time. IBM released the IBM704 and later the IBM709 computers, still, working with the IBM was frustrating if you had misplaced as much as one letter in one instruction, the program would crash, and you would have to start the whole process over again. During the late 1950s, the science discipline was very much in its developmental stages. Time has seen significant improvements in the usability and effectiveness of computing technology, modern society has seen a significant shift in the users of computer technology, from usage only by experts and professionals, to a near-ubiquitous user base
4.
Gonville and Caius College, Cambridge
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Gonville and Caius College is a constituent college of the University of Cambridge in Cambridge, England. The college is the fourth-oldest college at the University of Cambridge, the college has been attended by many students who have gone on to significant accomplishment, including fourteen Nobel Prize winners, the second-most of any Oxbridge college. The college has long associations with medical teaching, especially due to its alumni physicians, John Caius. Other famous alumni in the sciences include Francis Crick, James Chadwick, Stephen Hawking, previously Cambridges Lucasian Chair of Mathematics Emeritus, is a current fellow of the college. The college also maintains academic programmes in other disciplines, including economics, English literature. Gonville and Caius is said to own or have rights to much of the land in Cambridge, several streets in the city, such as Harvey Road, Glisson Road and Gresham Road, are named after alumni of the College. The college was first founded, as Gonville Hall, by Edmund Gonville, Rector of Terrington St Clement in Norfolk in 1348, when Gonville died three years later, he left a struggling institution with almost no money. The executor of his will, William Bateman, Bishop of Norwich, stepped in and he leased himself the land close to the river to set up his own college, Trinity Hall, and renamed Gonville Hall The Hall of the Annunciation of the Blessed Virgin Mary. Bateman appointed the first Master of the new college his former chaplain John Colton, by the sixteenth century, the college had fallen into disrepair, and in 1557 it was refounded by Royal Charter as Gonville and Caius College by the physician John Caius. John Caius was master of the college from 1559 until shortly before his death in 1573 and he provided the college with significant funds and greatly extended the buildings. During his time as Master, Caius accepted no payment but insisted on several unusual rules, Caius also built a three-sided court, Caius Court, “lest the air from being confined within a narrow space should become foul”. Caius did, however, found the college as a centre for the study of medicine. By 1630, the college had expanded greatly, having around 25 fellows and 150 students, since then the college has grown considerably and now has one of the largest undergraduate populations in the university. The college first admitted women as fellows and students in 1979 and it now has over 110 Fellows, over 700 students and about 200 staff. Gonville and Caius is one of the wealthiest of all Cambridge colleges with net assets of £180 million in 2014, the college’s present Master, the 42nd, is Alan Fersht. The first buildings to be erected on the current site date from 1353 when Bateman built Gonville Court. The college chapel was added in 1393 with the Old Hall, most of the stone used to build the college came from Ramsey Abbey near Ramsey, Cambridgeshire. Gonville and Caius has the oldest college chapel in either Oxford or Cambridge which has been in use as such
5.
Leonhard Euler
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He also introduced much of the modern mathematical terminology and notation, particularly for mathematical analysis, such as the notion of a mathematical function. He is also known for his work in mechanics, fluid dynamics, optics, astronomy, Euler was one of the most eminent mathematicians of the 18th century, and is held to be one of the greatest in history. He is also considered to be the most prolific mathematician of all time. His collected works fill 60 to 80 quarto volumes, more than anybody in the field and he spent most of his adult life in Saint Petersburg, Russia, and in Berlin, then the capital of Prussia. A statement attributed to Pierre-Simon Laplace expresses Eulers influence on mathematics, Read Euler, read Euler, Leonhard Euler was born on 15 April 1707, in Basel, Switzerland to Paul III Euler, a pastor of the Reformed Church, and Marguerite née Brucker, a pastors daughter. He had two sisters, Anna Maria and Maria Magdalena, and a younger brother Johann Heinrich. Soon after the birth of Leonhard, the Eulers moved from Basel to the town of Riehen, Paul Euler was a friend of the Bernoulli family, Johann Bernoulli was then regarded as Europes foremost mathematician, and would eventually be the most important influence on young Leonhard. Eulers formal education started in Basel, where he was sent to live with his maternal grandmother. In 1720, aged thirteen, he enrolled at the University of Basel, during that time, he was receiving Saturday afternoon lessons from Johann Bernoulli, who quickly discovered his new pupils incredible talent for mathematics. In 1726, Euler completed a dissertation on the propagation of sound with the title De Sono, at that time, he was unsuccessfully attempting to obtain a position at the University of Basel. In 1727, he first entered the Paris Academy Prize Problem competition, Pierre Bouguer, who became known as the father of naval architecture, won and Euler took second place. Euler later won this annual prize twelve times, around this time Johann Bernoullis two sons, Daniel and Nicolaus, were working at the Imperial Russian Academy of Sciences in Saint Petersburg. In November 1726 Euler eagerly accepted the offer, but delayed making the trip to Saint Petersburg while he applied for a physics professorship at the University of Basel. Euler arrived in Saint Petersburg on 17 May 1727 and he was promoted from his junior post in the medical department of the academy to a position in the mathematics department. He lodged with Daniel Bernoulli with whom he worked in close collaboration. Euler mastered Russian and settled life in Saint Petersburg. He also took on a job as a medic in the Russian Navy. The Academy at Saint Petersburg, established by Peter the Great, was intended to improve education in Russia, as a result, it was made especially attractive to foreign scholars like Euler
6.
Gottfried Wilhelm Leibniz
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Leibnizs notation has been widely used ever since it was published. It was only in the 20th century that his Law of Continuity and he became one of the most prolific inventors in the field of mechanical calculators. He also refined the number system, which is the foundation of virtually all digital computers. Leibniz, along with René Descartes and Baruch Spinoza, was one of the three great 17th-century advocates of rationalism and he wrote works on philosophy, politics, law, ethics, theology, history, and philology. Leibnizs contributions to this vast array of subjects were scattered in various learned journals, in tens of thousands of letters and he wrote in several languages, but primarily in Latin, French, and German. There is no complete gathering of the writings of Leibniz in English, Gottfried Leibniz was born on July 1,1646, toward the end of the Thirty Years War, in Leipzig, Saxony, to Friedrich Leibniz and Catharina Schmuck. Friedrich noted in his journal,21. Juny am Sontag 1646 Ist mein Sohn Gottfried Wilhelm, post sextam vespertinam 1/4 uff 7 uhr abents zur welt gebohren, in English, On Sunday 21 June 1646, my son Gottfried Wilhelm is born into the world a quarter after six in the evening, in Aquarius. Leibniz was baptized on July 3 of that year at St. Nicholas Church, Leipzig and his father died when he was six and a half years old, and from that point on he was raised by his mother. Her teachings influenced Leibnizs philosophical thoughts in his later life, Leibnizs father had been a Professor of Moral Philosophy at the University of Leipzig, and the boy later inherited his fathers personal library. He was given access to it from the age of seven. Access to his fathers library, largely written in Latin, also led to his proficiency in the Latin language and he also composed 300 hexameters of Latin verse, in a single morning, for a special event at school at the age of 13. In April 1661 he enrolled in his fathers former university at age 15 and he defended his Disputatio Metaphysica de Principio Individui, which addressed the principle of individuation, on June 9,1663. Leibniz earned his masters degree in Philosophy on February 7,1664, after one year of legal studies, he was awarded his bachelors degree in Law on September 28,1665. His dissertation was titled De conditionibus, in early 1666, at age 19, Leibniz wrote his first book, De Arte Combinatoria, the first part of which was also his habilitation thesis in Philosophy, which he defended in March 1666. His next goal was to earn his license and Doctorate in Law, in 1666, the University of Leipzig turned down Leibnizs doctoral application and refused to grant him a Doctorate in Law, most likely due to his relative youth. Leibniz then enrolled in the University of Altdorf and quickly submitted a thesis, the title of his thesis was Disputatio Inauguralis de Casibus Perplexis in Jure. Leibniz earned his license to practice law and his Doctorate in Law in November 1666 and he next declined the offer of an academic appointment at Altdorf, saying that my thoughts were turned in an entirely different direction
7.
Statistics
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Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e. g. a scientific, industrial, or social problem, populations can be diverse topics such as all people living in a country or every atom composing a crystal. Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys, statistician Sir Arthur Lyon Bowley defines statistics as Numerical statements of facts in any department of inquiry placed in relation to each other. When census data cannot be collected, statisticians collect data by developing specific experiment designs, representative sampling assures that inferences and conclusions can safely extend from the sample to the population as a whole. In contrast, an observational study does not involve experimental manipulation, inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena. A standard statistical procedure involves the test of the relationship between two data sets, or a data set and a synthetic data drawn from idealized model. A hypothesis is proposed for the relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the hypothesis is done using statistical tests that quantify the sense in which the null can be proven false. Working from a hypothesis, two basic forms of error are recognized, Type I errors and Type II errors. Multiple problems have come to be associated with this framework, ranging from obtaining a sufficient sample size to specifying an adequate null hypothesis, measurement processes that generate statistical data are also subject to error. Many of these errors are classified as random or systematic, the presence of missing data or censoring may result in biased estimates and specific techniques have been developed to address these problems. Statistics continues to be an area of research, for example on the problem of how to analyze Big data. Statistics is a body of science that pertains to the collection, analysis, interpretation or explanation. Some consider statistics to be a mathematical science rather than a branch of mathematics. While many scientific investigations make use of data, statistics is concerned with the use of data in the context of uncertainty, mathematical techniques used for this include mathematical analysis, linear algebra, stochastic analysis, differential equations, and measure-theoretic probability theory. In applying statistics to a problem, it is practice to start with a population or process to be studied. Populations can be diverse topics such as all living in a country or every atom composing a crystal. Ideally, statisticians compile data about the entire population and this may be organized by governmental statistical institutes
8.
John Venn
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John Venn, FRS, FSA, was an English logician and philosopher noted for introducing the Venn diagram, used in the fields of set theory, probability, logic, statistics, and computer science. John Venn was born on 4 August 1834 in Kingston upon Hull, Yorkshire to Martha Sykes and Rev. Henry Venn and his mother died when he was three years old. Venn was descended from a line of church evangelicals, including his grandfather John Venn. Venn was brought up in a very strict atmosphere at home. His father Henry had played a significant part in the Evangelical movement and he was also the secretary of the ‘Society for Missions to Africa and his grandfather was pastor to William Wilberforce of the abolitionist movement, in Clapham. He began his education in London joining Sir Roger Cholmeleys School, now known as Highgate School and he moved on to Islington proprietary school and in October 1853 he went to Gonville and Caius College, Cambridge. In 1857, he obtained his degree in mathematics and became a fellow, in 1903 he was elected President of the College, a post he held until his death. He would follow his vocation and become an Anglican priest, ordained in 1859, serving first at the church in Cheshunt, Hertfordshire. In 1862, he returned to Cambridge as a lecturer in science, studying and teaching logic and probability theory. These duties led to his developing the diagram which would bear his name. I began at once somewhat more work on the subjects. I now first hit upon the device of representing propositions by inclusive and exclusive circles. In 1868, he married Susanna Carnegie Edmonstone with whom he had one son, in 1883, he resigned from the clergy, having concluded that Anglicanism was incompatible with his philosophical beliefs. In that same year, Venn was elected a Fellow of the Royal Society and was awarded a Sc. D. by Cambridge. Venn is commemorated at the University of Hull by the Venn Building, built in 1928 A stained glass window in the hall of Gonville and Caius College, Cambridge. Venn then further developed George Booles theories in the 1881 work Symbolic Logic, Venn compiled Alumni Cantabrigienses, a biographical register of former members of the University of Cambridge. This work is still being updated online, see #External links and his other works include, A Cambridge Alumni Database The Venn archives clarify the confusing timeline of the various Venns. Obituary of John Venn Portrait of Venn by Charles Brock, and a link to a site about Venn Another view of the Venn stained glass window John Venn at Find a Grave
9.
Probability
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Probability is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1, the higher the probability of an event, the more certain that the event will occur. A simple example is the tossing of a fair coin, since the coin is unbiased, the two outcomes are both equally probable, the probability of head equals the probability of tail. Since no other outcomes are possible, the probability is 1/2 and this type of probability is also called a priori probability. Probability theory is used to describe the underlying mechanics and regularities of complex systems. For example, tossing a coin twice will yield head-head, head-tail, tail-head. The probability of getting an outcome of head-head is 1 out of 4 outcomes or 1/4 or 0.25 and this interpretation considers probability to be the relative frequency in the long run of outcomes. A modification of this is propensity probability, which interprets probability as the tendency of some experiment to yield a certain outcome, subjectivists assign numbers per subjective probability, i. e. as a degree of belief. The degree of belief has been interpreted as, the price at which you would buy or sell a bet that pays 1 unit of utility if E,0 if not E. The most popular version of subjective probability is Bayesian probability, which includes expert knowledge as well as data to produce probabilities. The expert knowledge is represented by some prior probability distribution and these data are incorporated in a likelihood function. The product of the prior and the likelihood, normalized, results in a probability distribution that incorporates all the information known to date. The scientific study of probability is a development of mathematics. Gambling shows that there has been an interest in quantifying the ideas of probability for millennia, there are reasons of course, for the slow development of the mathematics of probability. Whereas games of chance provided the impetus for the study of probability. According to Richard Jeffrey, Before the middle of the century, the term probable meant approvable. A probable action or opinion was one such as people would undertake or hold. However, in legal contexts especially, probable could also apply to propositions for which there was good evidence, the sixteenth century Italian polymath Gerolamo Cardano demonstrated the efficacy of defining odds as the ratio of favourable to unfavourable outcomes
10.
Ramon Llull
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Ramon Llull, T. O. S. F. was a philosopher, logician, Franciscan tertiary and Majorcan writer. He is credited with writing the first major work of Catalan literature, recently surfaced manuscripts show his work to have predated by several centuries prominent work on elections theory. He is also considered a pioneer of computation theory, especially given his influence on Leibniz, within the Franciscan Order he is honored as a martyr. He was beatified in 1847 by Pope Pius IX and his feast day was assigned to 30 June and is celebrated by the Third Order of St. Francis. Llull was born into a family in Palma, the capital of the newly formed Kingdom of Majorca. James I of Aragon founded Majorca to integrate the conquered territories of the Balearic Islands into the Crown of Aragon. Llulls parents had come from Catalonia as part of the effort to colonize the formerly Almohad ruled island, in 1257 he married Blanca Picany, with whom he had two children, Domènec and Magdalena. Although he formed a family, he lived what he would call the licentious. Llull served as tutor to James II of Aragon and later became Seneschal to the future King James II of Majorca, in 1263 Llull experienced a religious epiphany in the form of a series of visions. The vision came to him six times in all, leading him to leave his family, position, following his epiphany Llull became a Franciscan tertiary, taking inspiration from Saint Francis of Assisi. After a short pilgrimage he returned to Majorca, where he purchased a Muslim slave from whom he wanted to learn Arabic, for the next nine years, until 1274, he engaged in study and contemplation in relative solitude. He read extensively in both Latin and Arabic, learning both Christian and Muslim theological and philosophical thought. Between 1271 and 1274 he wrote his first works, a compendium of the Muslim thinker Al-Ghazalis logic and the Llibre de contemplació en Déu and his first elucidation of the Art was in Art Abreujada dAtrobar Veritat, in 1290. After spending some time teaching in France and being disappointed by the reception of his Art among students. It is this version that he became known for. It is most clearly presented in his Ars generalis ultima or Ars magna, the Art operated by combining religious and philosophical attributes selected from a number of lists. It is believed that Llulls inspiration for the Ars magna came from observing Arab astrologers use a device called a zairja, the Art was intended as a debating tool for winning Muslims to the Christian faith through logic and reason. Through his detailed analytical efforts, Llull built an in-depth theosophic reference by which a reader could enter any argument or question, the reader then used visual aids and a book of charts to combine various ideas, generating statements which came together to form an answer
11.
Logic
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Logic, originally meaning the word or what is spoken, is generally held to consist of the systematic study of the form of arguments. A valid argument is one where there is a relation of logical support between the assumptions of the argument and its conclusion. Historically, logic has been studied in philosophy and mathematics, and recently logic has been studied in science, linguistics, psychology. The concept of form is central to logic. The validity of an argument is determined by its logical form, traditional Aristotelian syllogistic logic and modern symbolic logic are examples of formal logic. Informal logic is the study of natural language arguments, the study of fallacies is an important branch of informal logic. Since much informal argument is not strictly speaking deductive, on some conceptions of logic, formal logic is the study of inference with purely formal content. An inference possesses a purely formal content if it can be expressed as an application of a wholly abstract rule, that is. The works of Aristotle contain the earliest known study of logic. Modern formal logic follows and expands on Aristotle, in many definitions of logic, logical inference and inference with purely formal content are the same. This does not render the notion of informal logic vacuous, because no formal logic captures all of the nuances of natural language, Symbolic logic is the study of symbolic abstractions that capture the formal features of logical inference. Symbolic logic is divided into two main branches, propositional logic and predicate logic. Mathematical logic is an extension of logic into other areas, in particular to the study of model theory, proof theory, set theory. Logic is generally considered formal when it analyzes and represents the form of any valid argument type, the form of an argument is displayed by representing its sentences in the formal grammar and symbolism of a logical language to make its content usable in formal inference. Simply put, formalising simply means translating English sentences into the language of logic and this is called showing the logical form of the argument. It is necessary because indicative sentences of ordinary language show a variety of form. Second, certain parts of the sentence must be replaced with schematic letters, thus, for example, the expression all Ps are Qs shows the logical form common to the sentences all men are mortals, all cats are carnivores, all Greeks are philosophers, and so on. The schema can further be condensed into the formula A, where the letter A indicates the judgement all - are -, the importance of form was recognised from ancient times
12.
Sample space
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In probability theory, the sample space of an experiment or random trial is the set of all possible outcomes or results of that experiment. A sample space is denoted using set notation, and the possible outcomes are listed as elements in the set. It is common to refer to a space by the labels S, Ω. For example, if the experiment is tossing a coin, the space is typically the set. For tossing two coins, the sample space would be. For tossing a single six-sided die, the sample space is. A well-defined sample space is one of three elements in a probabilistic model, the other two are a well-defined set of possible events and a probability assigned to each event. For many experiments, there may be more than one plausible sample space available, for example, when drawing a card from a standard deck of fifty-two playing cards, one possibility for the sample space could be the various ranks, while another could be the suits. Still other sample spaces are possible, such as if some cards have been flipped when shuffling, some treatments of probability assume that the various outcomes of an experiment are always defined so as to be equally likely. The result of this is every possible combination of individuals who could be chosen for the sample is also equally likely. In an elementary approach to probability, any subset of the space is usually called an event. However, this rise to problems when the sample space is infinite. Under this definition only measurable subsets of the space, constituting a σ-algebra over the sample space itself, are considered events. Probability space Space Set Event σ-algebra
