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Priority support. Permanent license and free major upgrades during the maintenance period. Access to Windows version. Options to emulate Excel Analysis ToolPak results andmigration guide for users switching from Analysis ToolPak. Basic Statistics Detailed descriptive statistics. One-sample t-test. Two-sample t-test. Two-sample t-test for summarized data. Fisher F-test. One-sample and two-sample z-tests. Correlation analysis and covariance. Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests). Cross-tabulation and Chi-square. Frequency tables analysis (for discrete and continuous variables). Multiple definitions for computing quantile statistics. Analysis of Variance (ANOVA) One-way and two-way ANOVA (with and without replications). Three-way analysis of variance. Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett. Within subjects ANOVA and mixed models. Multivariate Analysis Principal component analysis (PCA). Factor analysis (FA). Discriminant function analysis. Hierarchical Clustering and K-Means. Nonparametric Statistics 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.). Rank and percentile. Chi-square test. Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner). Comparing independent samplesMann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test. Comparing dependent samplesWilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance). Cochran's Q Test. Design of Experiments (DOE). Latin and greco-latin squares analysis. Regression Analysis Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands). Weighted least squares (WLS) regression. Logistic regression. Stepwise (forward and backward) regression. Polynomial regression. Curve fitting. Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test. Time Series AnalysisData processing. Fourier analysis. Smoothing. Moving average.Analysis. Autocorrelation (ACF and PACF). Interrupted time series analysis. Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test). Survival Analysis Life tables. Kaplan-Meier (log rank test, hazard ratios). Cox proportional-hazards regression. Probit-analysis (Finney and LPM).LD values (LD50/ED50 and

You purchase it. Should you have any questions during the trial period, please feel free to contact our Support Team. Affordable You will benefit from the reduced learning curve and attractive pricing while enjoying the benefits of precise routines and calculations. Mac/PC license is permanent, there is no renewal charges. RequirementsStatPlus requires Windows 2000 or newer, Windows 7 or newer recommended. Excel add-in (StatFi) requires Excel 2007 or newer. StatPlus supports Windows 10 and Excel 2019.Download Data Analysis Toolpak Excel MacStatPlus and StatFi Features ListPro FeaturesFast and powerful standalone spreadsheet.Add-in for Excel 2007, 2010, 2013, 2016 and 2019.Priority support.Permanent license with free major upgrades during the maintenance period.Options to emulate Excel Analysis ToolPak results and migration guide for users switching from Analysis ToolPak.Basic StatisticsDetailed descriptive statistics.One-sample t-test.Two-sample t-test.Two-sample t-test for summarized data.Fisher F-test.One-sample and two-sample z-tests.Correlation analysis and covariance.Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).Cross-tabulation and Chi-square.Frequency tables analysis (for discrete and continuous variables).Multiple definitions for computing quantile statistics.Analysis of Variance (ANOVA)One-way and two-way ANOVA (with and without replications).Three-way analysis of variance.Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.General Linear Models (GLM) ANOVA.Within subjects ANOVA and mixed models.Multivariate AnalysisPrincipal component analysis (PCA).Factor analysis (FA).Discriminant function analysis.Nonparametric Statistics2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).Rank and percentile.Chi-square test.Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).Comparing independent samplesMann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test.Comparing dependent samplesWilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance).Cochran's Q Test.Download Analysis Toolpak Excel 2013Regression AnalysisMultivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).Weighted least squares (WLS) regression.Logistic regression.Stepwise (forward and backward) regression.Polynomial regression.Curve fitting.Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.Time Series AnalysisData processing.Fourier analysis.Smoothing.Moving average.Analysis.Autocorrelation (ACF and PACF).Interrupted time series analysis.Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).Survival AnalysisLife tables.Kaplan-Meier (log rank test, hazard ratios).Cox proportional-hazards regression.Probit-analysis (Finney and LPM).LD values (LD50/ED50 and others), cumulative coefficient calculation.Receiver operating characteristic curves analysis (ROC analysis).AUC methods - DeLong's, Hanley and McNeil's. Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot.Comparing ROC curves.Data ProcessingSampling (random, periodic, conditional).Random numbers generation.Standardization.Stack/unstack operations.Matrix operations.Statistical ChartsHistogramScatterplot.Box plot.Stem-and-leaf plot.Bland-Altman plot.Bland-Altman plot with multiple measurements per subject.Quantile-quantile Q-Q plots for different distributions.Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.

Instance, in a chi-square test, DoF are used to define the shape of the chi-square distribution, which in turn helps us determine the critical value for the test. Similarly, in regression analysis, DoF help quantify the amount of information “used” by the model, thus playing a pivotal role in determining the statistical significance of predictor variables and the overall model fit.Understanding the concept of DoF and accurately calculating it is critical in hypothesis testing and statistical modeling. It not only affects the outcome of the statistical tests but also the reliability of the inferences drawn from such tests.Different Statistical Tests and Degrees of FreedomThe concept of degrees of freedom (DoF) applies to a variety of statistical tests. Each test uses DoF in its unique way, often defining the shape of the corresponding probability distribution. Here are several commonly used statistical tests and how they use DoF:T-tests In a T-test, degrees of freedom determine the specific shape of the T distribution, which varies based on the sample size. For a single sample or paired T-test, the DoF are typically the sample size minus one (n-1). For a two-sample T-test, DoF are calculated using a slightly more complex formula involving the sample sizes and variances of both groups.Chi-Square tests For Chi-square tests, used often in categorical data analysis, the DoF are typically the number of categories minus one. In a contingency table, DoF are (number of rows – 1) * (number of columns – 1).ANOVA (Analysis of Variance) In an ANOVA, DoF