StatCalc

Summary data analysis.

Use StatCalc to create and compare summary statistics, develop confidence intervals, and verify hand calculations. StatCalc also allows the use of a limited data spreadsheet to produce frequency, descriptive, correlation, and regression statistics. Before purchasing, compare StatCalc to the features available in AcaStat. AcaStat provides more advanced analytical and data manipulation options and also includes a SumStat module that offers most of the summary statistic procedures available in StatCalc.

$9.99 (USD)

The Mac version may be purchased through this site or from the Mac App Store.

Requires Windows 7 SP1 or later (32-bit or 64-bit) — Mac OS X 10.10.5 or later.

StatCalc Windows screenshot

Improvements

- Current update includes 10 epidemiology statistics.
- The Output Viewer now displays an output log and includes a right click option to change output font.
- Automated import of large data files.
- Expands saving and import of data for all procedures using spreadsheet data.
- Adds graphic display of confidence intervals and significance test results.

Features

- Compare to AcaStat
- User Manual
- Stat Guide
- Use as a handy statistics calculator
- Includes 31 statistical procedures
- Conduct a quick statistical evaluation of summary data when the raw data is not available
- Easily create confidence intervals for means and proportions with graphic display of interval
- Statistics Glossary Module
- Decision Tools (elasticity, queuing, constant dollars)
- View, save and print Output
- Import and export delimited text files
- Import AcaStat data files
- Example Data Files for each procedure
- Stat Guide provides interpretation examples
- P-value Calculator
- Create common contingency table cell percentages from chi-square counts
- Data Manager allows the selection and loading of variables for frequencies, descriptives, weighted mean, goodness of fit, correlation, and OLS and Logistic regression statistical procedures
- Data limits can be adjusted from 100 to 100,000 observations

Statistics

- Frequencies of numerical and string data - count, percentages
- Descriptives - count, sum, minimum, maximum, mean, median, range, population and sample variance and deviation, skewness, standard error, coefficient of variation
- Weighted mean calculator
- Bivariate Correlation - Pearson correlation and correlation matrices
- Simple and multiple regression (OLS) - allows up to 11 variables
- Simple and multiple logistic regression - allows up to 11 variables
- Standardized (Z) Score generator
- Confidence interval for means
- Confidence interval for proportions
- Chi-square Test of Independence and Goodness of Fit
- One-way ANOVA
- Z-test of proportions - 1 and 2 sample tests
- T-test of means - 1 and 2 sample tests
- Diagnostic accuracy - AUC, sensitivity, specificity, predictive values, likelihood, kappa
- Distribution probabilities - Z, T, Chi-square and F distributions
- Epi Rate, Risk, and Standardized Rate statistics
- Decision tables
- Queuing analysis
- Constant dollars
- Price elasticity

Create Summary Statistics

Quickly summarize data.

Produce counts, percentages and measures of central tendency (mean, median) and variation (standard deviation, variance).

Statistical Tests

Compare summary data.

Easily conduct significance tests between means, proportions, and counts.

File Manager Panel

Import data.

The File Manager Panel allows the import of tab or comma delimited data files or AcaStat system files. Select variables from a list and then load them into the statistical procedure.

Stat Guide

Help interpreting statistical output.

The Stat Guide displays an example of annotated output for each statistical procedure. Key aspects of the output are highlighted and interpreted.

Decision Tools

Introduction to management science.

Four simple tools introduce basic management science — decision making informed with quantifiable measures. Includes a decision table, constant dollar calculator, elasticity of demand, and queuing theory.

View Output

Conventional statistical tables.

The Output Log displays the results of the analyses in a text window for editing, printing, and saving as a text file. Each time a statistical procedure is run, the results are automatically sent to the Output Log.

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