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These results are not subject to round-off error, but they are not accurate unless b 2 is large compared to ac. Excel graph of the difference between two evaluations of the smallest root of a quadratic: direct evaluation using the quadratic formula (accurate at smaller b) and an approximation for widely spaced roots (accurate for larger b). The ...
Kuder–Richardson Formula 20; Linear discriminant analysis; Multinomial distribution; Multinomial logit; Multinomial probit; Multiple correspondence analysis; Odds ratio; Poisson regression; Powered partial least squares discriminant analysis; Qualitative variation; Randomization test for goodness of fit; Relative risk; Stratified analysis ...
Nanmean (mean ignoring NaN values, also known as "nil" or "null") Stddev; Formally, an aggregate function takes as input a set, a multiset (bag), or a list from some input domain I and outputs an element of an output domain O. [1] The input and output domains may be the same, such as for SUM, or may be different, such as for COUNT.
1983, Lotus 1-2-3 for MS-DOS, the first killer application for the IBM PC, it took the market from Visicalc in the early 1980s. 1983, Dynacalc for OS-9 a Unix-like operating system, similar to VisiCalc. [11] 1984, Lotus Symphony for MS-DOS, the follow-on to Lotus 1-2-3; 1985, Boeing Calc for MVS and MS-DOS, written by subsidiary of aviation ...
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A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other ...
A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. [a] The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution.
In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted.. For example, if the numerical data 3.4, 5.1, 2.6, 7.3 are observed, the ranks of these data items would be 2, 3, 1 and 4 respectively.