Category Archive for: Statistical Functions

Regression functions

Mathcad includes a number of functions for performing regression. Typically, these functions generate a curve or surface of a specified type which in some sense minimizes the error between itself and the data you supply. The functions differ primarily in the type of curve or surface they use to fit the data. Unlike the interpolation functions discussed in…

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Interpolation and prediction functions

Interpolation involves using existing data points to predict values between these data points. Mathcad allows you to either connect the data points with straight lines (linear interpolation) or to connect them with sections of a cubic polynomial (cubic spline interpolation). Unlike the regression functions discussed in the next section, these interpolation functions return a curve which must pass through…

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Histogram function

Mathcad includes a function, hist, for computing frequency distributions for histograms: Returns a vector representing the frequencies with which values in A fall in the intervals represented by the int vector. The elements in both int and A must be real. In addition, the elements of int must b~ in ascending order. The resulting vector is one element…

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Statistical Functions

This chapter lists and describes many of Mathcad’s built-in statistical functions. These functions perform a wide variety of computational tasks, including statistical analysis, interpolation, regression, and smoothing. The following sections make up this chapter: Population and sample statistics Functions for computing the mean, variance, standard deviation, and correlation of data. Probability distributions Functions for evaluating probability densities, cumulative probability…

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