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[2] [3] [4] It has an integrated spreadsheet for data input and can import files in several formats (Excel, SPSS, CSV, ...). MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics , ANOVA , Mann–Whitney test , Wilcoxon test , χ 2 test , correlation , linear as well as non-linear ...
The example discussed by Duncan in his 1955 paper is of a comparison of many means (i.e. 100), when one is interested only in two-mean and three-mean comparisons, and general p-mean comparisons (deciding whether there is some difference between p-means) are of no special interest (if p is 15 or more for example).
6.0.753.0: 3 January 2023: Free for non-commercial use [12] Freeware [12] Web-based or Desktop CAS Calculator GiNaC: Christian Bauer, Alexander Frink, Richard B. Kreckel, et al. 1999 1999 1.8.3: 23 March 2022: Free GNU GPL: Integrate symbolic computation into C++ programs; no high-level interface, but emphasis on interoperability. GNU Octave ...
Both free and paid versions are available. It can handle Microsoft Excel .xls and .xlsx files, and also produce other file formats such as .et, .txt, .csv, .pdf, and .dbf. It supports multiple tabs, VBA macro and PDF converting. [10] Lotus SmartSuite Lotus 123 – for MS Windows. In its MS-DOS (character cell) version, widely considered to be ...
Download QR code; Print/export ... The following tables compare general and technical information for a number of statistical ... 0.7.5 (15 February 2019 )) Yes AGPL ...
PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics. It has a graphical user interface [2] and conventional command-line interface. It is written in C and uses GNU Scientific Library for its mathematical routines. The name has "no official acronymic expansion". [3]
For example, for = 0.05 and m = 10, the Bonferroni-adjusted level is 0.005 and the Šidák-adjusted level is approximately 0.005116. One can also compute confidence intervals matching the test decision using the Šidák correction by computing each confidence interval at the ⋅ {\displaystyle \cdot } (1 − α) 1/ m % level.
Yo-Yo IR1: VO2max = (Final distance (in meters) × 0.0084) + 36.4 Yo-Yo IR2: VO2max = (Final distance (in meters) × 0.0136) + 45.3 However, an eyeball review indicates minimum scores for Yo-Yo IR1 and Yo-Yo IR2 of 36.4 and 45.3 respectively—that is, the score if the runner does not complete a single circuit.