Supports Microsoft Visual Basic 6.0 (VB6)
"The application is great! It is relatively easy
to use and is great for developing programs in VB6 that require
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Statistical Analysis for Visual Basic 6 (VB6) Applications
Total VB Statistics
offers a wide range of statistical functions for Visual Basic
6.0 programmers using Microsoft Jet Engine databases. Any Microsoft Access/Jet table
or linked table such as SQL Server, dBase, or Paradox table can be
analyzed. Multi-table Select Queries can also be analyzed and an
unlimited number of records can be processed in one pass.
Developed specifically for
programmers, Total VB Statistics eliminates the need to export your data
to other programs for statistical analysis. You can perform a wide range of statistical
functions with all results in Microsoft Access tables. View, sort, query, or display the
results. You can also add it to forms and reports just like any other table.
Total VB Statistics
includes two parts. The first is an interactive Statistics Scenario Designer. This
standalone program lets you easily specify the database, data, fields, and analysis to
perform. The second part is a royalty free ActiveX DLL component that performs the analysis. This
file, under 1 Meg, is the only file you need to include with your VB6 applications to add
The Total VB Statistics Scenario Designer
- Statistically analyze data from any Jet
Database or linked table
- Analyze multi-table Select queries
- Analyze an unlimited number of records
- All output in Jet tables
- No programming required to specify the
analysis to perform
- Analysis settings are saved as
"scenarios" which can be run again in the future
- Analyze multiple fields at one time
- Use data grouping fields to analyze
groups of records (optional)
- Weight data based on a weighting field's
- Ignore a numeric value or range of
- Programmatic interface to add
statistical analysis to your applications
- Includes a royalty-free runtime license
- Scenarios are compatible with
Total Access Statistics. Scenarios
created in either program can be run by the other.
- Count, Missing (blanks), Mean.
- Minimum, Maximum, Range, Sum, Sum of
- Variance, Coefficient of Variance, Std.
Deviation, Std. Error.
- Geometric Mean, Harmonic Mean, Root Mean
- Skewness, Kurtosis.
- Mode, Mode Count.
- t-Test versus Mean (test for null
- Confidence Intervals (t and Normal
tests). 95% and user-specified levels.
- Percentiles: median, quartiles, deciles,
- Frequency distribution with
user-specified group width, initial value and number of intervals. Display count, percent
of total, sums and cumulative values.
- Mean difference
- Standard Deviation of difference
- Paired t-Test
- Probability (1 or 2 tails).
- Simple, Multiple and Polynomial (up to
- With Y-Intercept or Zero-Intercept.
- Count, Missing, R-Square, Std. Error of
Est., and ANOVA
- Coefficient analysis: P Std. Error,
Beta, t-Value and Probability.
- Residual calculation for each data
- 10 types: Count, Sum, Average, Minimum,
Maximum, Range, Variance, Coefficient of Variance, Std. Deviation, Std. Error.
- Count crosstabs for Text and Date value
- Row total and Column sub-totals.
- Percent of Column, Row and Total.
- Sorted column fields with special
handling for blank values.
- Chi-Square Analysis: Chi-Square,
Probability, Cramer's V, Phi-Coefficient, Coefficient of Contingency.
- Two-Sample t-Tests (pooled and separate
- ANOVA (Analysis of Variance) with sum of
squares, F-Value and probability.
- One sample Chi-Square
- One Sample Sign Test for
Median and Mean
- Kolmogorov-Smirnov Goodness
of Fit Test
- Paired Sign Test, Spearman's
- Wilcoxon Signed Rank Test for
- Wald-Wolfowitz Runs Test
- Mann-Whitney U Two Sample
- Kolmogorov-Smirnov Two Sample
- Kruskal-Wallis One Way
Analysis of Variance
- Friedman's Two Way Analysis
One Sample Sign Test for Median.
- Two Sample Sign Test for Equal Median.
- Wald-Wolfowitz Sign Test for Equal
- Wilcoxon Test for Matched Pairs.
- Mann-Whitney Two Sample (non-matched)
- Kolmogorov-Smirnov Two Sample Test.
- Correlations: Spearman's Rho and
- Kruskal-Wallis One Way Analysis of
- Friedman's Two Way Analysis of Variance.
- Evaluate probability of test values: Z,
t, Chi-Square, and F.
Enter the test value and degrees of freedom to see the corresponding probability.
- Calculate inverse probability. Enter a
probability and calculate the equivalent Z, t, Chi-Square, and F value.
- Eliminate interpolating values in