Name: Wizard Pro
Size: 5.75 MB
Mac Platform: Intel
OS version: 10.9+
Processor type(s) & speed: 64-bit processor
What’s New in Version 1.8.23
New in 1.8.23:
All popovers now remain open while switching windows
All features are unlocked even though the welcome screen says it is a trial. There is an option to hide welcome screen.
Wizard is a new Mac app that makes data analysis easier than ever. No programming, no typing — just click and explore. Wizard includes a full set of tools for doing professional research, yet its friendly interface makes statistics accessible to beginners.
It’s true: within minutes of importing your first data set into Wizard, you’ll be generating graphics, uncovering correlations, producing p-values, building models, and sharing insights with colleagues. Most customers find that the program pays for itself in just a few days of use. Explore Wizard’s delightful feature set, including…
Wizard will start graphing your data as soon as you click on it. It uses native Mac graphics to give you crisp visual summaries — box-plots, scatterplots, histograms, survival curves, and more — in a fraction of a second.
Easy statistical modeling
Build sophisticated statistical models in seconds with Wizard’s intuitive modeling interface. Regression estimates are instantly recomputed as you play around with the controls and experiment with new specifications.
Wizard supports drag-and-drop, multi-level Undo, and other interface conveniences that Mac users expect from their software. An interactive tutorial will help you get started.
Dozens of functions are available to help you get data into the form you want. Compute quantiles, perform day-of-week calculations, multiply columns together, and more.
Export colorful graphics as web-friendly PNG or print-quality PDF. If you’re surrounded by PC users, export your models as interactive spreadsheets that can be used to run “What if?” scenarios in any version of Microsoft Excel.
Wizard supports the most common statistical tests and models, including…
Shapiro-Wilk test of normality
1-sample Kolmogorov-Smirnov (normality and uniformity)
Pearson’s goodness-of-fit (equal proportions)
Pearson’s goodness-of-fit (chi-square)
t-test (paired and unpaired)
ANOVA (1-way, 2-way, and repeated measures)
Correlation and R²
Median tests: Mann-Whitney and Kruskal-Wallis
NEW: Wilcoxon signed-rank and Friedman tests
Survival analysis: Log-rank test
2-sample and N-sample Kolmogorov-Smirnov
Linear regression (OLS)
Weighted linear regression (WLS)
Poisson and geometric regression
Logistic regression (Logit) and Probit
Multinomial Logit and Ordered Probit
Negative Binomial (NegBin-2)
Cox Proportional Hazards
Robust standard errors
Clustered standard errors
Joint significance tests (Wald tests)
Sensitivity/specificity analysis (ROC curves)
Censoring of survival data (Cox
Interactive prediction assistant
Copy models as R commands
PRO: Copy models as Stata, SPSS, or SAS commands
Although you have the option to enter data manually, more likely you’ll want to import data from one of the following sources:
Numbers (’09 and later)
R workspace files (.RData and .rds)
DBF and MS-Access
Plain text (Comma-, tab-, and custom-delimited values)
PRO File Formats
SAS binary (.sas7bdat), transport (.xpt), and script (.sas) files
SPSS binary (.sav), portable (.por), and script (.sps) files
Stata binary (.dta) and dictionary (.dct) files
More info: http://www.wizardmac.com/