## ChemStat |
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The ease of use and overall value of this program is outstanding!" |

## Statistical Analysis Software for Environmental Data |

## Environmental Statistical Analysis Software Solution for WindowsChemStat is the easiest and fastest application available for the statistical analysis of ground water monitoring data at RCRA facilities. ChemStat includes most statistical analysis methods described in the 1989 and 1992 USEPA statistical analysis documents, USEPA Draft Unified Guidance Document, U.S. Navy Statistical Analysis Guidance document, and other guidance documents and methods documented in popular statistical texts. A unique combination of ease-of-use and innovative technologies make ChemStat the value leader for environmental statistical analysis. ## Download Animated Demonstration and Training MoviesAll New ChemStat Universal Converter now available. Free utility to convert MS Access, MS Excel, tab-delimited text, and dBase files to ChemStat format.
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ChemStat Trial Version ChemStat Frequently Asked Questions Compare ChemStat to USEPA's DataQUEST Software ## New Features for v. 6.3 (Available December 20, 2010):- Tarone-Ware Two-Sample Test - A non-parametric test comparable to the Wilcoxon presented in the USEPA Unified Guidance.
## New Features for v. 6.2 (Available April 1, 2007):- Non-Parametric Confidence Limit MCL Comparison.
- Parametric Prediction Limit (inter-well) with verification resampling as described in USEPA Unified Guidance, for the following resampling schemes:
- 1 of 2
- 1 of 3
- 1 of 4
- Modified California
## New Features for v. 6.1 (Available March 25, 2006):- Export Workbook reports and graphs directly into Microsoft Word.
- Improved Workbook printing to Acrobat PDF files.
## New Features for v. 6.0 (Available July 23, 2005):- New methods for compliance with
**USEPA Draft Unified Guidance**: - Rank von Neumann test
- Spearman's Trend Test
- Welch's t-test
- New features for adjustment of data (add/remove samples based on date ranges, parameter names, well IDs)
- Improved Prediction Limits
- Improved Control Chart
- Improved Probability Plot
- Improved Graphs and Reports
## New Features for v. 5.2:- New Upper Confidence Limit (UCL) Methods Including:
- Student's t-test UCL Method
- Chebyshev Inequality UCL Method
- Central Limit Theorem UCL Method
- Bootstrap Resampling UCL Method
- Jackknife Procedure UCL Method
- Improved Probability Plot for Censored and Detects-Only Plots
## New Features for v. 5.0:- Improved graph vertical axis scaling
- Method Selector Tree -- Hierarchical tree simplifies the selection of the appropriate statistical tests.
- Poisson Prediction Limit not available as intra-well comparison
- New statistical methods, including methods from U.S. Navy (1999) statistical guidance documents.
- Improved Parametric t-test
- Satterthwaite t-test
- Quantile Non-Parametric test
- Two Sample Test of Proportions MCL Comparison
- Slippage Non-Parametric test
- Improved Wilcoxon test for group comparisons (following U.S. Navy Guidance)
- Discordance Outlier Test
- Enhanced parametric t-test follows U.S. Navy (1999) Guidance
## New Features for v. 4.1:- Parametric t-test analysis.
- Confidence interval analysis by Land's formula for log-normal data.
- Two-tailed parametric tolerance limits
## New Features for v. 4.0:- Fully automated statistical analysis -- perform a complete statistical analysis of an entire data set with a single command.
- Batch Processing -- Automated statistical analysis with scripts (create a script of commands for a list of parameters and perform all commands at once).
- Direct import of SanitasĀ® and DUMPStatĀ® databases.
- Improved support for different parameter units.
- Automatic elimination of outliers.
- Mann-Kendall supports testing for upward, downward, or two-tailed trends.
## New Features for v. 3.0:- Easier File Importing -- File importing has been simplified. Preview the file to prevent formatting mistakes.
- Summary List summarizes of all wells showing statistically significant contamination for your project, showing parameter name, transformation, and statistical method.
- More Transformations -- In addition to natural logarithm transformations, you can choose log base 10, square root, or cube root transformations.
- Probability Plot Correlation Coefficient
## ChemStat Features
ChemStat is powerful Data set size limited only
by computer memory for most tests
Unlimited number of parameters Unlimited number of wells Unlimited number of sample dates Unlimited parameter name and well label length Easily exclude individual data points from analyses Fast Performance Full report and graph printing and print preview Export reports to tab-delimited ASCII text file Export reports to a word processor in rich-text format Numerous choices for page headers and footers, page left, right, and center Choice of multiple fonts and colors in graphs and reports Highly customizable user-interface ChemStat is easy to learn
Easily select parameter for
analysis from drop-down list
Complete on-line help with "what's this" context sensitive help. Advisor Window displays information about the
method and suitability of the method to the data set.
Method selector tree allows easy selection of the appropriate
statistical test for your data
Data Set Transformations
Quickly convert from
original data to log-transformed and back
Easily represent non-detects with 0, 1, DL/2 or DL for any test Accommodate censored data with Cohen's or Aitchison's adjustments ## ChemStat Analysis Methods
Graphs Box/Whisker Plots
Single Well Concentration vs. Time Plot Multiple Well Concentration vs. Time Plot Multiple Parameter Concentration vs. Time Plot Probability Plots Shewhart-CUSUM Control Chart for both Intra-Well or Inter-Well Comparison Exponentially Weighted Moving Average Control Chart for both Intra-Well or Inter-Well Comparison
Parametric Methods Parametric ANOVA with
Individual Well Comparisons
Parametric Prediction Limit (intra-well or inter-well comparison) Parametric Tolerance Limit (comparison to background) Parametric Tolerance Limit (comparison to MCL) Parametric Confidence Interval
Parametric
t-test
Satterthwaite t-test
Welch's t-test
Non-Parametric Methods
Kruskal-Wallis
Non-Parametric Analysis
Wilcoxon Rank-Sum Non-Parametric Analysis (intra-well comparison) Wilcoxon Rank-Sum Non-Parametric Analysis (inter-well comparison) Poisson Prediction Limit Poisson Tolerance Limit (comparison to background) Poisson Tolerance Limit (comparison to MCL) Non-Parametric Prediction Limit (intra-well or inter-well comparison) Non-Parametric Confidence Limit
Gehan's
Test
Slippage
Test
Quantile
Test
Two Sample
Test of Proportions MCL Comparison
Distribution/Outlier/Trend Testing Levene’s Test for
Homogeneity of Variance
Bartlett’s Test for Homogeneity of Variance Shapiro-Wilks Test of Normality Shapiro-Francia Test of Normality Coefficient of Variation Test of Normality D'Agostino's Test of Normality Skewness Coefficient Test Dixon's Test for Outliers Rosner's Test for Outliers
Discordance Outlier Test
Mann-Kendall Test for Trend Spearman's Test for Trend Sen's Slope Analysis for Trend Seasonal Kendall Analysis Kurtosis
## No "Per Facility" Fees## A Complete Data Management and Statistical Analysis Package for Windows 95/98/NT |