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The calculator can display either built-in graphs that are already programmed or display a user defined graph. [8] The user also has the option to rewrite any of the previously programmed graphs. [8] Statistical graphs can also be generated: bar graphs, line graphs, normal distribution curves, regression lines. [6]
Xcas has the ability of a scientific calculator that provides show input and writes pretty print; Xcas also works as a spreadsheet; [11] computer algebra; 2D geometry in the plane; [12] 3D geometry in space; [12] spreadsheet; [11] statistics; regression (exponential, linear, logarithmic, logistic, polynomial, power) programming; [13]
In science and engineering, a log–log graph or log–log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Power functions – relationships of the form y = a x k {\displaystyle y=ax^{k}} – appear as straight lines in a log–log graph, with the exponent corresponding to ...
Texas Instruments TI-84 Plus, the most successful graphing calculator in terms of sales. A graphing calculator (also graphics calculator or graphic display calculator) is a handheld computer that is capable of plotting graphs, solving simultaneous equations, and performing other tasks with variables.
TI-BASIC is the built-in language for TI-83 series calculators, as well as many other TI graphing calculators. TI-BASIC is a non-structured programming language, meaning it is arranged sequentially, without the use of methods or organized blocks of code.
A simple arithmetic calculator was first included with Windows 1.0. [6]In Windows 3.0, a scientific mode was added, which included exponents and roots, logarithms, factorial-based functions, trigonometry (supports radian, degree and gradians angles), base conversions (2, 8, 10, 16), logic operations, statistical functions such as single variable statistics and linear regression.
It is a main ingredient in the generalized linear model framework and a tool used in non-parametric regression, [1] semiparametric regression [1] and functional data analysis. [2] In parametric modeling, variance functions take on a parametric form and explicitly describe the relationship between the variance and the mean of a random quantity.
With β = 1, the usual exponential function is recovered. With a stretching exponent β between 0 and 1, the graph of log f versus t is characteristically stretched, hence the name of the function. The compressed exponential function (with β > 1) has less practical importance, with the notable exception of β = 2, which gives the normal ...