Fast Statistics Crack + Data and File Management: ￭ Browse, save, and rename your files ￭ Open and close workbook by clicking on it or press Ctrl+O ￭ Resize and print charts and workbook pages ￭ Move charts, charts, and worksheet within workbook ￭ Export and import HTML Statistical and Graphical Analysis report Simulation and Distributions: ￭ Random number generator: High quality, true random number generator that supports a large range of numbers ￭ Density, distribution, and inverse cumulative distribution functions: With simple and intuitive interface, from density to probability plot to cumulative density function and inverse cumulative density function. Two types of support of Input: Either type data with real or integer values, or the standard normal distribution ￭ Hypothesis test: Sign test, Wilcoxon rank sum test, Z test, T test, Chi squared test, F test Analysis of Variance: One way ANOVA, Two way ANOVA, Interaction plot, Main effect plot Regression: Multiple linear regression, Dummy-variable regression, Non-linear regression Nonparametrics: Friedman, Kruskal-Wallis Goodness of Fit: ￭ Goodness of fit statistics for ANOVA: F-statistic, T-statistic, F-ratio, Sum-of-squares, Mean-squares, d.f., F-statistic for regression ￭ Coefficient of determination ￭ Nonparametric confidence intervals and testing ￭ Hausdoff-Mallows test, Royston Pakes test, Bootstrap ￭ P-Values for various statistical tests ￭ Coefficient of correlation ￭ General linear models: X, Y regression, Box-cox regression ￭ Reliability analysis ￭ Design of experiments ￭ Statistical process control ￭ CUSUM chart: Start time and threshold ￭ Basic Graph: Line, HorizLine, Area, Point(Scatter), Bar, HorizBar, Pie, Shapes, Stairs Line, Arrows, Bubble ￭ Statistical Graph: Histogram, Box plot, Contour, Time series plot, 3D plot, Probability plot ￭ Quality Control Charts: X chart, R chart, S chart, P chart, NP chart, C chart, U chart, Pare Fast Statistics Crack Free Download X64 The Book: * Introduction to Statistics * Statistics for Experimental Design * Statistical Analysis of Data * Qualitative Data Analysis * Fast Statistics * Data Manipulation * Statistics in Quality Control * Statistical Analysis of Time Series * Quality control methods * Design of Experiments * Mathematical Analysis * Statistical Software * Graphics for Statistics * Quality Control Methods * Internet Resources The eBook * Table of Contents * Introduction * Fast Statistics * Statistics for Experimental Design * Statistical Analysis of Data * Qualitative Data Analysis * Data Manipulation * Quality Control Methods * Statistical Analysis of Time Series * Quality control methods * Design of Experiments * Mathematical Analysis * Statistical Software * Graphics for Statistics * Quality Control Methods * Internet Resources Our Web Site * Frequently Asked Questions * Orders * Complaints * Contact Links: * Download Windows version at our site * Free Demo available (only for 1 day) * User Help * Book (in PDF format) Our Partners: * Microsoft * Macromedia * Adobe * VBA Programming * SAS * MathWorks * Wolfram Research Our Copyright: * Copyright 1999-2000, Mathware, Inc. * Copyright 1999-2001, Mathware, Inc. * Copyright 1999-2001, Mathware, Inc. * Copyright 2000-2001, 8e68912320 Fast Statistics Crack+ With Full Keygen ￭ Capability analysis to analyze data sets ￭ Capability analysis calculates the capability index, capability and capability index range, capability index standard deviation, standard deviation percentage, percentage of uncritical defects, percentile and percentile distribution ￭ Capability index - to define the limit of acceptable performance, based on acceptable percentiles of defect size ￭ Capability index range - for a given capability index value, it provides an interval in which the defects are located ￭ Capability index standard deviation - to define the acceptable limits of defect sizes, based on capability index ￭ Capability index percentiles - to define the limits of acceptable size of defects ￭ Defect size - defects must be less than the limit of defects as specified by the capability index range ￭ Defect size percentage - defects must be less than the given percentage of the total defects ￭ Defect size percentile - defects must be less than the given percentile ￭ Defects per thousand - it is the total number of defects divided by the total number of defects plus the total number of non-defects ￭ Defects per million - it is the total number of defects divided by the total number of defects plus the total number of non-defects ￭ Defects per percent - it is the total number of defects divided by the total number of defects plus the total number of non-defects ￭ Defects density - it is the total number of defects divided by the area (in square mm) where the defects are present ￭ Capability index range - for a given capability index value, it provides an interval in which the defects are located ￭ Capability index - for a given capability index value, it provides an interval in which the defects are located ￭ Defects size - defects must be less than the limit of defects as specified by the capability index range ￭ Defects size percent - defects must be less than the given percentage of the total defects ￭ Defects size percentiles - defects must be less than the given percentile ￭ Defects per thousand - it is the total number of defects divided by the total number of defects plus the total number of non-defects ￭ Defects per million - it is the total number of defects divided by the total number of defects plus the total What's New in the Fast Statistics? 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