UNISTAT® 5.6 Features
For information on UNISTAT's statistics and graphics options, select Procedures on the left. This will first launch a new browser window, emulating UNISTAT's menu system on the left panel. When a procedure is selected, sample output from that procedure is displayed on the right panel in HTML format, as output by UNISTAT. Here you can also see exactly which menu items are available in UNISTAT Light Edition.
We also provide information on the three alternative modes of running UNISTAT as an Excel add-in, as a stand-alone statistical package and as a developer's tool. The Graphics and Output options provide information on UNISTAT's most commonly used features.
Index of supported procedures
- X-Y Plots
- Polar Plot
- Spectral Plot
- Fan Grid Plot
- X-Y-Z Scatter Plot
- X-Y-Z Grid Plot
- X-Y-Z Spin Plot
- Pie Chart
- Bar Chart
- Area Chart
- Ribbon Chart
- 3D Bar Chart
- High-Low-Close Chart
- Plot of Fi(X)
- Plot of F(X,Y)
- Plot & Roots of Polynomials
- Histogram
- 3D Histogram
- Log-probability Histogram
- Normal Probability Plot
- Plot of Distribution Functions
- Box/Whisker and Dot Plots
- Ladder Plot
- X-Y Pairs Plot
- Rectangular Plot
- Icon Plots
- Summary Statistics
- Confidence Intervals
- Quantiles
- Sample Statistics
- Frequency Distributions
- Stem and Leaf Diagram
- Sequence Diagram
- Scatter Diagram
- Cumulative Probability
- Critical Value
- Probabilities and Critical Values
- Random Numbers
- Expected Frequencies
- One Sample t-Test
- Pooled Variance t-Test
- Separate Variance t-Test
- Paired t-Test
- F-Test
- Parametric Tests Matrix
- Hotelling's T2 Test
- Pearson Correlation
- Spearman Rank Correlation
- Kendall Rank Correlation
- Point Biserial Correlation
- Tetrachoric Correlation
- Pearson-Spearman-Kendall
- Partial Correlation Matrix
- One Sample Chi-square Test
- Two Sample Chi-square Test
- One Sample K-S Test: Uniform
- One Sample K-S Test: Normal
- Two Sample K-S Test
- Shapiro-Wilk Normality Test
- Unpaired Samples
- Paired Samples
- Single Proportion
- Unpaired Proportions
- Paired Proportions
- Kruskal-Wallis One-Way ANOVA
- Jonckheere's Trend
- Multisample Median Test
- Friedman Two-Way ANOVA
- Quade Two-Way ANOVA
- Kendall's Concordance Coeff
- Page's L Trend
- Cochran's Q
- Kappa Test Inter-Category
- Kappa Test Inter-Observer
- Contingency Table
- Cross-Tabulation
- Break-Down
- Matrix Statistics
- Linear Regression
- Polynomial Regression
- Stepwise Regression
- Nonlinear Regression
- Logit / Probit / Weibull
- Logistic Regression
- Multinomial Regression
- Poisson Regression
- Analysis of Variance
- General Linear Model
- Table of Means
- Homogeneity of Variance Tests
- Multiple Comparisons
- Regression with Replicates
- Heterogeneity of Regression
- One Sample
- Two Samples
- Variance
- Correlation
- Two Correlations
- Two Proportions
- ANOVA
- Phi Distribution
- Hierarchical Cluster Analysis
- K-th Neighbour Cluster Analysis
- K-Means Cluster Analysis
- Multiple Discriminant Analysis
- K-th Neighbour Discriminant
- Multidimensional Scaling
- Principal Components
- Principal Components Factoring
- Principal Axis Factoring
- Canonical Correlations
- Reliability Analysis
- ARIMA
- Brown's Exponential
- Holt's Linear
- Winter's (Additive)
- Winter's (Multiplicative)
- Dixon-Grubbs-Neumann
- Variable Control Charts
- Attribute Control Charts
- Pareto Chart
- Hotelling's T2 Chart
- Weibull Chart
- Life Table
- Kaplan-Meier Analysis
- Survival Comparison Statistics
- Cox Regression
- Fourier Transform
- Inverse Fourier Transform
- Completely Randomised Design
- Randomised Block Design
- Latin Squares Design
- Crossover Design
- Slope Ratio Method
- Quantal Response Method
- Combination of Assays