Analysis of Variance (ANOVA)

 Balanced and Unbalanced ANOVA: explains what balanced designs are and why they are preferable.
 BoxCox Transformation: transform nonnormal dependent variables into a normal shape.
 General Linear Model (GLM): an umbrella term for many statistical tests like ANCOVA and regression.
 Multivariate Analysis of Variance (MANOVA): an ANOVA with two independent variables.
 OneWay ANOVA: used to compare two means from two independent (unrelated) groups using the Fdistribution.
 Repeated Measures ANOVA: tests related groups, not independent ones.
Regression and Correlation
Cluster Analysis
Correlation



 Pearson correlation: The most common type of correlation coefficient.
 Spearman Rank Correlation: Non parametric version of Pearson’s.
 Kendall’s Tau: a nonparametric measure of relationships between columns of ranked data.
 Correlation Matrix: a table showing correlation coefficients between sets of variables.
 PointBiserial and Biserial Correlations: a special case of Pearson’s correlation coefficient. It measures the relationship between one continuous variable and one naturally binary variable.
 BoxCox Transformation: a way to transform nonnormal dependent variables into a normal shape.
 Cronbach’s Alpha: measures reliability, or internal consistency.
 BlandAltman Plot and Analysis: an XY scatter plot that compares the disagreement, or differences, between two quantitative measurements.
 Concordance Correlation Coefficient: measures bivariate pairs of observations relative to a “gold standard” test or measurement.


Curve Fitting



 Curve Fitting – General
 Nonlinear Regression
 Grubbs’ Outlier Test
 Normality Tests (Chi Square test for normality, Lilliefors)


Tolerance Intervals
Distribution Fitting
Grubbs’ Outlier Test
Normality Tests
Normal Probability Plots
Multivariate Analysis
Hotelling’s
Multivariate Analysis of Variance (MANOVA)
Correspondence Analysis
Loglinear Models
Multidimensional Scaling
Nondetects Data Analysis
Click here to see additional details about nondetects data analysis in NCSS.
NondetectsData Group Comparison
Nondetects Data Regression
Nonparametric
Click here to see additional details about nonparametric analysis in NCSS.
Cochran’s Q Test
Cochran’s Q Test
Conover Equal Variance Test
OneWay Analysis of Variance
Cumulative Incidence Curves
Cumulative Incidence
Dunn’s Test
OneWay Analysis of Variance
DwassSteelCritchlowFligner Test
OneWay Analysis of Variance
Friedman’s Rank Test
Balanced Design Analysis of Variance
KaplanMeier Curves
KaplanMeier Curves (Logrank Tests)
Kendall’s Tau Correlation
Correlation
TwoWay Contingency Tables (Crosstabs / ChiSquare Test)
KolmogorovSmirnov Test
TwoSample TTest
Descriptive Statistics
Normality Tests
Tolerance Intervals
KruskalWallis Test
OneWay Analysis of Variance
Logrank Test
KaplanMeier Curves (Logrank Tests)
MannWhitney U or Wilcoxon RankSum Test
TwoSample TTest
Testing NonInferiority with Two Independent Samples
Testing Equivalence with Two Independent Samples
McNemar Test
Two Correlated Proportions (McNemar Test)
Two Correlated Proportions – Equivalence Tests
TwoWay Contingency Tables (Crosstabs / ChiSquare Test)
Cochran’s Q Test (as pairwise multiple comparison tests)
NondetectsData Group Comparison
NondetectsData Group Comparison
Randomization Tests
OneSample TTest
Paired TTest
TwoSample TTest
Linear Regression and Correlation
Curve Fitting – General
MichaelisMenten Equation
Hotelling’s OneSample T2
Hotelling’s TwoSample T2
KaplanMeier Curves (Logrank Tests)
ROC Curves
One ROC Curve and Cutoff Analysis
Comparing Two ROC Curves – Paired Design
Comparing Two ROC Curves – Independent Groups Design
Runs Tests (e.g. WaldWolfowitz Runs Test)
Analysis of Runs
Sign or Quantile Test
OneSample TTest
Paired TTest
SpearmanRank Correlation
Correlation
Correlation Matrix
Linear Regression and Correlation
Wilcoxon SignedRank Test
OneSample TTest
Paired TTest
Operations Research
Click here to see additional details about operations research in NCSS.
Linear Programming with Bounds
Linear Programming with Tableau
Mixed Integer Programming
Quadratic Programming
Assignment
Maximum Flow
Minimum Cost Capacitated Flow
Minimum Spanning Tree
Shortest Route
Transportation
Transshipment
Proportions
Click here to see additional details about analysis of proportions and twoway tables in NCSS.
One Proportion
Two Proportions
Two Proportions – NonInferiority Tests
Two Proportions – Superiority Tests
Two Proportions – Equivalence Tests
Two Proportions – TwoSided Tests vs. a Margin
Two Correlated Proportions (McNemar Test)
Two Correlated Proportions – NonInferiority Tests
Two Correlated Proportions – Superiority Tests
Two Correlated Proportions – Equivalence Tests
TwoWay Contingency Tables (Crosstabs / ChiSquare Test)
Frequency Tables
Cochran’s Q Test
Loglinear Models
MantelHaenszel Test
Quality Control
Click here to see additional details about quality control in NCSS.
Xbar and R Charts
Xbar and s Charts
Xbar Charts
R Charts
s Charts
CUSUM Charts
EWMA Charts
Moving Average Charts
Individuals and Moving Range Charts
LeveyJennings Charts
P Charts
NP Charts
C Charts
U Charts
Analysis of Runs
Capability Analysis
Lag Plots
Pareto Charts
R & R Study
Tolerance Intervals
Acceptance Sampling for Attributes
Operating Characteristic Curves for Acceptance Sampling for Attributes
Reference Intervals
Click here to see additional details about reference intervals in NCSS.
Reference Intervals
Reference Intervals – AgeSpecific
Robust Linear Regression (PassingBablok MedianSlope)
Tolerance Intervals
Regression
Click here to see additional details about regression in NCSS.
Simple Linear Regression
Linear Regression and Correlation
BoxCox Transformation for Simple Linear Regression
Robust Linear Regression (PassingBablok MedianSlope)
Multiple Regression
Multiple Regression
Multiple Regression – Basic
Principal Components Regression
Nondetects Data Regression
Response Surface Regression
Ridge Regression
Robust Regression
Multiple Regression for Appraisal
Multiple Regression with Serial Correlation
Logistic Regression
Logistic Regression
Conditional Logistic Regression
Discriminant Analysis
Probit Analysis
Cox Regression
Cox Regression
Parametric Survival (Weibull) Regression
Probit Analysis
Count Data
Poisson Regression
ZeroInflated Poisson Regression
Negative Binomial Regression
ZeroInflated Negative Binomial Regression
Geometric Regression
Method Comparison
Deming Regression
PassingBablok Regression for Method Comparison
NondetectsData Regression
Nondetects Data Regression
Nonlinear Regression
Nonlinear Regression
Curve Fitting – General
MichaelisMenten Equation
Sum of Functions Models
Fractional Polynomial Regression
Ratio of Polynomials Fit – One Variable
Ratio of Polynomials Search – One Variable
Harmonic Regression
Ratio of Polynomials Fit – Many Variables
Ratio of Polynomials Search – Many Variables
Survival Data
Cox Regression
Parametric Survival (Weibull) Regression
Probit Analysis
Subset Selection
All Possible Regressions
Stepwise Regression
Subset Selection in Multiple Regression
Subset Selection in Multivariate Y Multiple Regression
Conditional Logistic Regression
Cox Regression
Discriminant Analysis
Geometric Regression
Logistic Regression
Negative Binomial Regression
Poisson Regression
Time Series
Multiple Regression with Serial Correlation
Harmonic Regression
TwoStage Least Squares
TwoStage Least Squares
Reliability
Click here to see additional details about survival analysis and reliability in NCSS.
Cumulative Incidence
KaplanMeier Curves (Logrank Tests)
LifeTable Analysis
Cox Regression
Parametric Survival (Weibull) Regression
Beta Distribution Fitting
Distribution (Weibull) Fitting
Gamma Distribution Fitting
MantelHaenszel Test
Probit Analysis
Tolerance Intervals
Survival Parameter Conversion Tool
Time Calculator
ROC Curves
Click here to see additional details about ROC curve and cutoff analysis in NCSS.
One ROC Curve and Cutoff Analysis
Comparing Two ROC Curves – Paired Design
Comparing Two ROC Curves – Independent Groups Design
Survey Data
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TwoWay Contingency Tables (Crosstabs / ChiSquare Test)
Frequency Tables
Cochran’s Q Test
Descriptive Statistics – Summary Tables
Descriptive Statistics – Summary Lists
Loglinear Models
Item Analysis
Data Screening
Survival Analysis
Click here to see additional details about survival analysis and reliability in NCSS.
Cumulative Incidence
KaplanMeier Curves (Logrank Tests)
LifeTable Analysis
Cox Regression
Parametric Survival (Weibull) Regression
Beta Distribution Fitting
Distribution (Weibull) Fitting
Gamma Distribution Fitting
MantelHaenszel Test
Probit Analysis
Tolerance Intervals
Survival Parameter Conversion Tool
Time Calculator
Time Series
Click here to see additional details about time series and forecasting in NCSS.
ARIMA (BoxJenkins)
Automatic ARMA
Theoretical ARMA
Autocorrelations
CrossCorrelations
Spectral Analysis
Decomposition Forecasting
Exponential Smoothing – Horizontal
Exponential Smoothing – Trend
Exponential Smoothing – Trend / Seasonal
Harmonic Regression
Analysis of Runs
TTests
Click here to see additional details about comparing means in NCSS.
OneSample TTest
Paired TTest
Paired TTest for NonInferiority
Paired TTest for Equivalence
TwoSample TTest
TwoSample TTest from Means and SD’s
Testing NonInferiority with Two Independent Samples
Testing Equivalence with Two Independent Samples
BoxCox Transformation for Two or More Groups (TTest and OneWay ANOVA)
BlandAltman Plot and Analysis
Hotelling’s OneSample T2
Hotelling’s TwoSample T2
Analysis of TwoLevel Designs
CrossOver Analysis Using TTests
TwoWay Tables
Click here to see additional details about analysis of twoway tables in NCSS.
TwoWay Contingency Tables (Crosstabs / ChiSquare Test)
Frequency Tables
Cochran’s Q Test
Loglinear Models
MantelHaenszel Test