Please answer the following question: Information: - In probability theory and statistics, the probit function is the quantile function associated with the standard normal distribution, which is commonly denoted as N(0,1). Mathematically, it is the inverse of the cumulative distribution function of the standard normal distribution, which is denoted as formula_1, so the probit is denoted as formula_2. It has applications in exploratory statistical graphics and specialized regression modeling of binary response variables. - An "a priori" probability is a probability that is derived purely by deductive reasoning. One way of deriving "a priori" probabilities is the principle of indifference, which has the character of saying that, if there are "N" mutually exclusive and exhaustive events and if they are equally likely, then the probability of a given event occurring is 1/"N". Similarly the probability of one of a given collection of "K" events is "K"/"N". - An experiment is a procedure carried out to support, refute, or validate a hypothesis. Experiments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale, but always rely on repeatable procedure and logical analysis of the results. There also exists natural experimental studies. - In probability and statistics, the quantile function specifies, for a given probability in the probability distribution of a random variable, the value at which the probability of the random variable is less than or equal to the given probability. It is also called the percent-point function or inverse cumulative distribution function. - Probability is the measure of the likelihood 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 that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is unbiased, the two outcomes ("head" and "tail") are both equally probable; the probability of "head" equals the probability of "tail". Since no other outcomes are possible, the probability is 1/2 (or 50%), of either "head" or "tail". In other words, the probability of "head" is 1 out of 2 outcomes and the probability of "tail" is also 1 out of 2 outcomes, expressed as 0.5 when converted to decimal, with the above-mentioned quantification system. This type of probability is also called a priori probability. - Binary or binomial classification is the task of classifying the elements of a given set into two groups on the basis of a classification rule. Instancing a decision whether an item has or not some qualitative property, some specified characteristic, some typical binary classification tasks are: - Given a population whose members can be potentially separated into a number of different sets or classes, a classification rule is a procedure in which the elements of the population set are each assigned to one of the classes. A perfect test is such that every element in the population is assigned to the class it really belongs. An imperfect test is such that some errors appear, and then statistical analysis must be applied to analyse the classification. - A statistical model is a class of mathematical model, which embodies a set of assumptions concerning the generation of some sample data, and similar data from a larger population. A statistical model represents, often in considerably idealized form, the data-generating process. - Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. 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 and experiments. - Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384322 B.C.), though "analysis" as a formal concept is a relatively recent development. - In statistics , a probit model is a type of regression where the dependent variable can only take two values , for example married or not married . The name is from probability + unit . The purpose of the model is to estimate the probability that an observation with particular characteristics will fall into a specific one of the categories ; moreover , if estimated probabilities greater than 1/2 are treated as classifying an observation into a predicted category , the probit model is a type of binary classification model . A probit model is a popular specification for an ordinal or a binary response model . As such it treats the same set of problems as does logistic regression using similar techniques . The probit model , which employs a probit link function , is most often estimated using the standard maximum likelihood procedure , such an estimation being called a probit regression . Probit models were introduced by Chester Bliss in 1934 ; a fast method for computing maximum likelihood estimates for them was proposed by Ronald Fisher as an appendix to Bliss ' work in 1935 . - In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable "X", or just distribution function of "X", evaluated at "x", is the probability that "X" will take a value less than or equal to "x". - Debt, AIDS, Trade, Africa (DATA) was a multinational non-government organization founded in January 2002 in London by U2's Bono along with Bobby Shriver and activists from the Jubilee 2000 Drop the Debt campaign. - Qualitative properties are properties that are observed and can generally not be measured with a numerical result. They are contrasted to quantitative properties which have numerical characteristics. - In statistics, a population is a set of similar items or events which is of interest for some question or experiment. A statistical population can be a group of actually existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker). A common aim of statistical analysis is to produce information about some chosen population. - Probability theory is the branch of mathematics concerned with probability, the analysis of random phenomena. The central objects of probability theory are random variables, stochastic processes, and events: mathematical abstractions of non-deterministic events or measured quantities that may either be single occurrences or evolve over time in an apparently random fashion. - A statistic (singular) or sample statistic is a single measure of some attribute of a sample (e.g., its arithmetic mean value). It is calculated by applying a function (statistical algorithm) to the values of the items of the sample, which are known together as a set of data. After reading the paragraphs above, we are interested in knowing the entity with which 'probit model' exhibits the relationship of 'instance of'. Find the answer from the choices below. Choices: - attribute - branch - character - class - classification - crystal - data - deductive reasoning - event - experiment - fair - fashion - function - government - group - head - hypothesis - information - january - jubilee - logic - mathematical model - may - organization - point - population - presentation - principle - procedure - process - property - quantile - reasoning - result - set - single - standard - statistic - statistical model - statistics - system - test - theory - time - trade - two - understanding - value - variable - will
A:
statistical model