Product Catalog. AcaStat. Software

Transcription

1 Product Catalog AcaStat Software

2 AcaStat AcaStat is an inexpensive and easy-to-use data analysis tool. Easily create data files or import data from spreadsheets or delimited text files. Run crosstabulations, descriptive statistics, correlation, and common significance tests without learning programming code or complex interface commands. Analyze common summary statistics such as counts, proportions, and means. AcaStat includes an intuitive data analysis interface, a chart module, and practice data files. A statistics glossary is provided along with an online How To Guide. All output is stored in an output log to view, save, and print results. Works with Windows 10 touchscreen technology. Available in Windows and Mac Intuitive data analysis interface Drag and drop variable selection Running record of analyses Data file capacity ~200,000 observations 19 statistical procedures for spreadsheet data 27 summary statistic procedures Format, compute and recode variables Create mean centered variables Trim lengthy string variables Split data file module for reducing number of variables Create, save, export delimited or AcaStat data files Paste or drag and drop spreadsheet data Import delimited text files Random sampling module Weight procedure (frequencies and descriptives) Charts module Filter (exclude) observations Merge data files by records or variables Print and save output Convert output for pasting into spreadsheets Drag and drop data and output files into AcaStat Example data files with variable formatting Statistics glossary module Quick Start and User Manuals On-line How To Guide System Requirements Statistical Procedures Frequencies tables - chi-square goodness of fit List observations Descriptives - count, sum, min, max, mean, median, range, population/sample variance and deviation, skewness, standard error, coefficient of variation, 95% confidence interval, one-sample t-test Explore descriptive statistics by subgroups Crosstabulation - cell count, row %, col %, total %, chi-square, Yate's correction, Fisher's, odds ratio, relative risk, Cramer's V, Pearson C, lambda, kappa, McNemar s test Independent and Paired T-test of Means - homogeneity of variance Wilcoxon Signed-Rank and Mann-Whitney U Nonparametric test One-way ANOVA - Bonferroni post hoc, eta, eta squared, Levene Kruskal-Wallis Nonparametric test Bivariate Correlation Pearson & Spearman rho and matrices Point-Biserial Correlation summary statistics, Brown-Forsythe test Multiple regression (OLS & Logistic) - summary statistics, output residuals and predictive values Diagnostic accuracy - area under the curve, sensitivity, specificity, positive and negative predictive values, likelihood ratios, kappa Appraisal Analysis ratios, price-related differential (PRD), coefficient of dispersion (COD), coefficient of variation (CV) Repeated Random Samples simulate a data file of means Summary Statistics Module weighted mean, z-score, confidence intervals, chi-square, one-way anova, z-test of proportions, t-test of means, diagnostic accuracy, Epi Curve, Epi risk and rate statistics, probability distributions Price Windows 7 SP1 or later; Mac OS X v or later. $ 19.99

3 Clarity Clarity is a low cost version of AcaStat. Analyze data using the same statistical procedures available in AcaStat. Enter data into the analyze tab, import and export delimited files, copy and paste or drag and drop data directly from a spreadsheet. Clarity produces frequencies tables, crosstabulations, descriptive statistics, correlations, OLS and logistic regression, t-tests, nonparametric tests and more. Format variable and value labels, set missing values, use controls, and recode variables. Easily create data. A statistics glossary is provided. Output is stored in an output log to view, save, and print results. The Windows version has been designed to work with Windows 10 touchscreen technology. Available in Windows and Mac Statistical Procedures Intuitive data analysis interface Drag and drop variable selection Running record of analyses Data file capacity ~200,000 observations 19 statistical procedures Format, compute and recode variables Create mean centered variables Trim lengthy string variables Create, save, export delimited or AcaStat data files Paste or drag and drop spreadsheet data Import delimited text files Random sampling module Filter (exclude) observations Print and save output Convert output for pasting into spreadsheets Drag and drop data and output files into AcaStat Example data files with variable formatting Statistics glossary module User Manual Frequencies tables - chi-square goodness of fit List observations Descriptives - count, sum, min, max, mean, median, range, population/sample variance and deviation, skewness, standard error, coefficient of variation, 95% confidence interval, one-sample t-test Explore descriptive statistics by subgroups Crosstabulation - cell count, row %, col %, total %, chi-square, Yate's correction, Fisher's, odds ratio, relative risk, Cramer's V, Pearson C, lambda, kappa, McNemar s test Independent and Paired T-test of Means - homogeneity of variance Wilcoxon Signed-Rank and Mann-Whitney U Nonparametric test One-way ANOVA - Bonferroni post hoc, eta, eta squared, Levene Kruskal-Wallis Nonparametric test Bivariate Correlation Pearson & Spearman rho and matrices Point-Biserial Correlation summary statistics, Brown-Forsythe test Multiple regression (OLS & Logistic) - summary statistics, output residuals and predictive values Diagnostic accuracy - area under the curve, sensitivity, specificity, positive and negative predictive values, likelihood ratios, kappa Appraisal Analysis ratios, price-related differential (PRD), coefficient of dispersion (COD), coefficient of variation (CV) Repeated Random Samples simulate a data file of means System Requirements Price Windows 7 SP1 or later; Mac OS X v or later. $ 9.99

4 StatCalc This user-friendly analytical tool simplifies common statistical calculations with 31 procedures. Use StatCalc to easily create and compare summary statistics, develop confidence intervals, and verify hand calculations. Enter data to create frequency, descriptive, correlation, and regression statistics. A Decision Tools module is included to explore price elasticity of demand, queuing theory, constant dollars, and decision tables. StatCalc includes example data for each module to help you quickly learn the procedures. A statistics glossary and interpretation examples (Stat Guide) are included. All output is stored in an output log to view, save, and print results. Available in Windows and Mac Statistical Procedures 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 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 Enter counts for chi-square and StatCalc will calculate common statistics and create a contingency table with total, row, and column percentages. Data Manager allows the selection and loading of variables into statistical procedures. Data limits can be adjusted from 100 to 100,000 observations for frequencies, descriptives, weighted mean, goodness of fit, correlation, and regression System Requirements 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 - area under the curve, sensitivity, specificity, positive and negative predictive values, likelihood ratios, kappa Epidemiology rate and risk statistics Z, T, Chi-square and F Distribution probabilities Decision tables Queuing analysis Constant dollars Price elasticity Price Windows 7 SP1 or later; Mac OS X v or later. $ 9.99

5 StatBook The free Applied Statistics Desktop Reference provides a review of hypothesis testing and the interpretation of output generated by statistical software. Applied Statistics will be most useful for those who have completed a course in statistics and need a quick refresher or for students looking for a concise reference to support classroom instruction. It is not intended to serve as a stand-alone statistical text. The approach of the text is to connect classically taught statistics with statistical software output. Applied Statistics presents commonly used hypothesis tests and formulas, provides an example of how to do the calculations, and relates the hypothesis testing to output generated by statistical software. For many, the most valuable portions of the text will be the Glossary with over 200 definitions and the annotated presentation of output from statistical software. Available free as PDF or ibook Basic Research Terminology and Methods Data File Design Rates, Ratios, Proportions Univariate and Bivariate Statistics for Percentages and Means Standardized (Z) Scores Weighted Means Confidence Intervals for Proportions and Means Z-Tests of Proportions and T-Tests of Means Chi-Square and Measures of Association One-Way ANOVA Pearson Correlation (scattergram and matrix interpretation) Simple and Multiple OLS Regression Logistic Regression (interpretation only) Free on Apple ibooks Store or PDF download from AcaStat Software.

6 Compare StatCalc Clarity AcaStat $9.99 $9.99 $19.99 Data import/export (delimited and AcaStat system files) Observations limit - StatCalc 100k / Clarity & AcaStat 200k Statistics Glossary Summary statistics module Format variable and value labels Set missing values Set control values and filter case selection Recode, compute, mean center new variables Output residuals, predicted values, z-scores Drag and drop multiple variables for analysis Frequencies of numerical and string data Descriptive statistics Pearson correlation Regression (OLS/Logistic) StatCalc limit 11 variables Crosstabulation chi-square and association Explore means by categorical variables Independent and paired t-tests One-way ANOVA Spearman s rho, Mann-Whitney, Kruskal -Wallis Correlation matrices and biserial correlation Real estate tax assessment Random sample and random sampling simulation List variables (up to 10) Diagnostic accuracy Diagnostic accuracy ROC curve Charts modules Explore data interface Merge and split data files Use weight variable for frequencies and descriptives Statistical procedure User Guide