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ESBStats - Statistical Analysis Software 2.2.0
ESBStats - Statistical Analysis Software 2.2.0 Summary:
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- Windows - 6.56MB
- Licence: Shareware, $79.00 to buy
- Date Added: May 13, 2008
- Release status: Major Update
ESBStats - Statistical Analysis Software 2.2.0 Description:
| Software OS: | Win98,WinME,Windows2000,WinXP,Windows2003,Windows Vista... |
| Setup Filename: | esbstats.zip |
| System Requirements: | Win32 System |
ESBStats - Statistical Analysis Software 2.2.0 Tags:
ESBStats - Statistical Analysis Software 2.2.0 Full Description:
- Single, Dual (paired and unpaired) and Multiple Data Analysis (Multivariate analysis not in Lite Version).
- Data can be either for Sample or Population.
- Data can be Time Based for Time Series Analysis.
- Data can be entered as Raw Data, Grouped Data, or as Summary Data.
- Raw Data can be converted into Grouped Data.
- Raw Data can have in-built Transformations applied to them.
- Raw Data can have Random values meeting user defined criteria.
- Data can be fully documented and stored in DataLists.
- Standardisation of Data around given mean/standard deviation.
- DataLists are grouped together in Workbooks - one Workbook is opened at a time and can contain many DataLists.
- Sample Size calculations.
- Random Value Lists for Sampling.
- Statistical Summary including: mean, median, mode, variance, standard deviation, kurtosis, skew, etc.
- Comparison of Statistics for Raw and Grouped of the same Data.
- Graphs and Charts including: Histograms, Line Graphs, Pie Graphs, Ogives, Scatter Diagrams, Rootograms, Bar Charts and more.
- Inference and Hypothesis Analysis of a Single Population - including the Mean, the Variance and Proportions.
- Inference and Hypothesis Analysis of Two Populations - including Difference of the Mean, Ratio of the Variance, Difference of Proportions.
- Analysis of Variance (ANOVA) (not in Lite Version).
- Linear Regression with Transformations of the dependent variable.
- Multiple Regression with Transformations of the dependent variables (not in Lite Version).
- Moving Averages.
- Trend Analysis of Time Series Data.
PLUS MORE.
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