As a graduate of Statistics, I have learnt and practiced different methods of statistical analysis. So I decided to compile them here to help intending statistics students, statistics students, students and professionals in other disciplines who need to apply statistical techniques in data analysis. Statistics has application in all field of life and are important in effective decision making.
We have also compiled a complete list of all the statistical data analysis tools (software).
The Statistical Data Operations and Procedures are listed in alphabetical order
Tools
Analysis of Variance (ANOVA)
Appraisal
Cluster Analysis
Correlation
Curve Fitting
Descriptive Statistics
Design of Experiments
Diagnostic Tests
Distribution Fitting
Forecasting
Group-Sequential
Item Analysis
Meta-Analysis
Method Comparison
Mixed Models
Multivariate Analysis
Nondetects Data
Nonparametric
Operations Research
Proportions
Quality Control
Reference Intervals
Regression
ROC Curves
Survey Data
Survival Analysis / Reliability
Time Series
T-Tests
Two-Way Tables
Analysis Procedures
Analysis of Variance (ANOVA)
One-Way Analysis of Variance
Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
Analysis of Covariance (ANCOVA) with Two Groups
One-Way Analysis of Covariance (ANCOVA)
Balanced Design Analysis of Variance
General Linear Models (GLM)
General Linear Models (GLM) for Fixed Factors
Repeated Measures Analysis of Variance
Multivariate Analysis of Variance (MANOVA)
Analysis of Two-Level Designs
Nondetects-Data Group Comparison
Area Under Curve
Appraisal
Appraisal Ratio Studies
Hybrid Appraisal Models
Comparables Appraisal
Descriptive Statistics
Descriptive Statistics - Summary Tables
Descriptive Statistics - Summary Lists
Linear Regression and Correlation
Linear Regression and Correlation (Old Version)
Multiple Regression for Appraisal
Multiple Regression - Basic
Multiple Regression
Multiple Regression with Serial Correlation
Nonlinear Regression
Appraisal Ratios (Old Version)
Comparables - Sales Price (Old Version)
Hybrid Appraisal Models (Old Version)
Cluster Analysis
Clustering or cluster analysis is the process of grouping element according their similar characteristics or variable measurements. The methods involved in cluster analysis procedure include:
- Fuzzy Clustering
- Hierarchical Clustering / Dendrograms
- K-Means Clustering
- Medoid Partitioning
- Regression Clustering
- Clustered Heat Maps (Double Dendrograms)
Correlation
Correlation is used to measure the degree of relationship that exists between two variables. The degree of linear relationship between two variables are measured between -1 to +1. Where correlation value close to +1 indicates strong positive linear relationship, correlation value close to -1 indicates strong negative linear relationship, and near 0 shows little linear relationship between two given variables. The procedures include:
- Correlation (Pearson, Spearman, Kendall's Tau)
- Correlation
- Correlation and Linear Regression
- Linear Regression and Correlation
- Linear Regression and Correlation (Old Version)
- Correlation Matrix
- Point-Biserial and Biserial Correlations
- Point-Biserial and Biserial Correlations
- Box-Cox Transformation for Simple Linear Regression
- Box-Cox Transformation for Simple Linear Regression
- Canonical Correlation
- Canonical Correlation
- Cronbach's Alpha in Item Analysis
Item Analysis
Bland-Altman Plot and Analysis
Bland-Altman Plot and Analysis
Lin's Concordance Correlation Coefficient
Lin's Concordance Correlation Coefficient
Circular Data Correlation
Circular Data Correlation
Curve Fitting
Curve fitting is the process of determine the appropriate mathematical model that expresses the relationship between two variables, X and Y, and calculating the values of its parameters suing nonlinear regression.
- Curve Fitting - General
- Curve Fitting - CDF
- Michaelis-Menten Equation
- Fractional Polynomial Regression
- Ratio of Polynomials Fit - One Variable
- Ratio of Polynomials Search - One Variable
- Sum of Functions Models
- Reference Intervals - Age-Specific
- Nonlinear Regression
- Ratio of Polynomials Fit - Many Variables
- Ratio of Polynomials Search - Many Variables
- Function Plots
- Scatter Plot Matrix for Curve Fitting
Descriptive Statistics
Click here to see additional details about descriptive statistics in NCSS.
Descriptive Statistics
Descriptive Statistics - Summary Tables
Descriptive Statistics - Summary Lists
Cluster Randomization - Create Cluster Means Dataset
Contingency Tables (Crosstabs / Chi-Square Test)
Frequency Tables
Box-Cox Transformation
Data Screening
Data Simulation
Grubbs' Outlier Test
Normality Tests
Area Under Curve
Circular Data Analysis
Tolerance Intervals
Descriptive Statistics - Summary Tables (Old Version)
Design of Experiments
Click here to see additional details about design of experiments in NCSS.
Randomization Lists
Balanced Incomplete Block Designs
Fractional Factorial Designs
Latin Square Designs
Response Surface Designs
Screening Designs
Taguchi Designs
Two-Level Designs
Design Generator
D-Optimal Designs
Analysis of Two-Level Designs
Response Surface Regression
Diagnostic Tests
Click here to see additional details about diagnostic tests in NCSS.
Binary Diagnostic Tests - Single Sample
Binary Diagnostic Tests - Clustered Samples
Binary Diagnostic Tests - Two Independent Samples
Binary Diagnostic Tests - Paired Samples
One ROC Curve and Cutoff Analysis
Comparing Two ROC Curves - Paired Design
Comparing Two ROC Curves - Independent Groups Design
ROC Curves (Old Version)
Distribution Fitting
Click here to see additional details about distribution fitting in NCSS.
Beta Distribution Fitting
Beta Distribution Fitting
Distribution (Weibull) Fitting
Distribution (Weibull) Fitting
Gamma Distribution Fitting
Gamma Distribution Fitting
Grubbs' Outlier Test
Grubbs' Outlier Test
Normality Test
Normality Tests
Probability Plots
Normal Probability Plots
Weibull Probability Plots
Chi-Square Probability Plots
Exponential Probability Plots
Gamma Probability Plots
Half-Normal Probability Plots
Log-Normal Probability Plots
Uniform Probability Plots
Probability Plot Comparison
Forecasting
Click here to see additional details about time series and forecasting in NCSS.
ARIMA (Box-Jenkins)
Automatic ARMA
Theoretical ARMA
Autocorrelations
Cross-Correlations
Spectral Analysis
Decomposition Forecasting
Exponential Smoothing - Horizontal
Exponential Smoothing - Trend
Exponential Smoothing - Trend / Seasonal
Harmonic Regression
Analysis of Runs
Group-Sequential
Click here to see additional details about group-sequential analysis in NCSS.
One Mean
Group-Sequential Analysis for One Mean with Known Variance
Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance
Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance
Group-Sequential T-Tests for One Mean
Group-Sequential Non-Inferiority T-Tests for One Mean
Group-Sequential Superiority by a Margin T-Tests for One Mean
Two Means
Group-Sequential Analysis for Two Means with Known Variances
Group-Sequential Non-Inferiority Analysis for Two Means with Known Variances
Group-Sequential Superiority by a Margin Analysis for Two Means with Known Variances
Group-Sequential T-Tests for Two Means
Group-Sequential Non-Inferiority T-Tests for Two Means
Group-Sequential Superiority by a Margin T-Tests for Two Means
One Proportion
Group-Sequential Analysis for One Proportion
Group-Sequential Non-Inferiority Analysis for One Proportion
Group-Sequential Superiority by a Margin Analysis for One Proportion
Two Proportions
Group-Sequential Analysis for Two Proportions
Group-Sequential Non-Inferiority Analysis for Two Proportions
Group-Sequential Superiority by a Margin Analysis for Two Proportions
One Hazard Rate
Group-Sequential Analysis for One Hazard Rate
Group-Sequential Non-Inferiority Analysis for One Hazard Rate
Group-Sequential Superiority by a Margin Analysis for One Hazard Rate
Two Hazard Rates
Group-Sequential Analysis for Two Hazard Rates
Group-Sequential Non-Inferiority Analysis for Two Hazard Rates
Group-Sequential Superiority by a Margin Analysis for Two Hazard Rates
One Poisson Rate
Group-Sequential Analysis for One Poisson Rate
Group-Sequential Non-Inferiority Analysis for One Poisson Rate
Group-Sequential Superiority by a Margin Analysis for One Poisson Rate
Two Poisson Rates
Group-Sequential Analysis for Two Poisson Rates
Group-Sequential Non-Inferiority Analysis for Two Poisson Rates
Group-Sequential Superiority by a Margin Analysis for Two Poisson Rates
Item Analysis
Click here to see additional details about item analysis in NCSS.
Item Analysis
Item Response Analysis
Meta-Analysis
Click here to see additional details about meta-analysis in NCSS.
Meta-Analysis of Two Proportions
Meta-Analysis of Proportions (Old Version)
Meta-Analysis of Correlated Proportions
Meta-Analysis of Two Means
Meta-Analysis of Means (Old Version)
Meta-Analysis of Standardized Mean Differences
Meta-Analysis of Hazard Ratios
Method Comparison
Click here to see additional details about method comparison in NCSS.
Bland-Altman Plot and Analysis
Deming Regression
Passing-Bablok Regression for Method Comparison
Lin's Concordance Correlation Coefficient
Grubbs' Outlier Test
Normality Tests
Mixed Models
Click here to see additional details about mixed models in NCSS.
Mixed Models - General
Mixed Models - No Repeated Measures
Mixed Models - Repeated Measures
Mixed Models - Random Coefficients
Multivariate Analysis
Click here to see additional details about multivariate analysis in NCSS.
Factor Analysis
Principal Components Analysis
Canonical Correlation
Equality of Covariance
Discriminant Analysis
Hotelling's One-Sample T2
Hotelling's Two-Sample T2
Multivariate Analysis of Variance (MANOVA)
Correspondence Analysis
Loglinear Models
Multidimensional Scaling
Nondetects Data
Click here to see additional details about nondetects data analysis in NCSS.
Nondetects-Data Group Comparison
Nondetects-Data Regression
Nonparametric
Click here to see additional details about nonparametric data analysis in NCSS.
Cochran's Q Test
Cochran's Q Test
Conover Equal Variance Test
One-Way Analysis of Variance
Cumulative Incidence Curves
Cumulative Incidence
Dunn's Test
One-Way Analysis of Variance
Dwass-Steel-Critchlow-Fligner Test
One-Way Analysis of Variance
Friedman's Rank Test
Balanced Design Analysis of Variance
Kaplan-Meier Curves
Kaplan-Meier Curves (Logrank Tests)
Kendall's Tau Correlation
Correlation
Contingency Tables (Crosstabs / Chi-Square Test)
Kolmogorov-Smirnov Test
Two-Sample T-Test
Descriptive Statistics
Normality Tests
Tolerance Intervals
Kruskal-Wallis Test
One-Way Analysis of Variance
Logrank Test
Kaplan-Meier Curves (Logrank Tests)
Mann-Whitney U or Wilcoxon Rank-Sum Test
Two-Sample T-Test
Two-Sample T-Test for Non-Inferiority
Two-Sample T-Test for Superiority by a Margin
Two-Sample T-Test for Equivalence
Analysis of 2x2 Cross-Over Designs using T-Tests
Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority
Analysis of 2x2 Cross-Over Designs using T-Tests for Superiority by a Margin
Analysis of 2x2 Cross-Over Designs using T-Tests for Equivalence
McNemar Test
Two Correlated Proportions (McNemar Test)
Contingency Tables (Crosstabs / Chi-Square Test)
Cochran's Q Test
Nondetects-Data Group Comparison
Nondetects-Data Group Comparison
Randomization Tests
One-Sample T-Test
Paired T-Test
Two-Sample T-Test
Linear Regression and Correlation
Linear Regression and Correlation (Old Version)
Curve Fitting - General
Curve Fitting - CDF
Michaelis-Menten Equation
Hotelling's One-Sample T2
Hotelling's Two-Sample T2
Kaplan-Meier 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 (Wald-Wolfowitz Runs Test)
Analysis of Runs
Sign or Quantile Test
One-Sample T-Test
Paired T-Test
Spearman-Rank Correlation
Correlation
Correlation Matrix
Linear Regression and Correlation
Linear Regression and Correlation (Old Version)
Wilcoxon Signed-Rank Test
One-Sample T-Test
One-Sample T-Test for Non-Inferiority
One-Sample T-Test for Superiority by a Margin
One-Sample T-Test for Equivalence
Paired T-Test
Paired T-Test for Non-Inferiority
Paired T-Test for Superiority by a Margin
Paired T-Test for Equivalence
Operations Research
Operations research or quantitative analysis procedure uses different optimization algorithms to help in making decisions retated to highly complex business operations problems. The following methods are using in solving such highly complex problems
Linear Programming with Bounds
Linear Programming with Tableau
Mixed Integer Programming
Quadratic Programming
Assignment
Maximum Flow
Minimum Cost Capacitated Flow
Minimum Spanning Tree
Queue theory
Shortest Route
Transportation
Transshipment
Zero sum game
Proportions
Click here to see additional details about analysis of proportions and two-way tables in NCSS.
One Proportion
One Proportion
One Proportion - Non-Inferiority Tests
One Proportion - Superiority by a Margin Tests
One Proportion - Equivalence Tests
Group-Sequential Analysis for One Proportion
Group-Sequential Non-Inferiority Analysis for One Proportion
Group-Sequential Superiority by a Margin Analysis for One Proportion
Two Independent Proportions
Two Proportions
Two Proportions - Non-Inferiority Tests
Two Proportions - Superiority by a Margin Tests
Two Proportions - Equivalence Tests
Two Proportions - Two-Sided Tests vs. a Margin
Group-Sequential Analysis for Two Proportions
Group-Sequential Non-Inferiority Analysis for Two Proportions
Group-Sequential Superiority by a Margin Analysis for Two Proportions
Cluster Randomization - Create Cluster Proportions Dataset
Cluster Randomization - Create Cluster Rates Dataset
Meta-Analysis of Two Proportions
Two Correlated Proportions
Two Correlated Proportions (McNemar Test)
Two Correlated Proportions - Non-Inferiority Tests
Two Correlated Proportions - Superiority by a Margin Tests
Two Correlated Proportions - Equivalence Tests
Meta-Analysis of Correlated Proportions
Multiple Proportions and Contingency Tables
Contingency Tables (Crosstabs / Chi-Square Test)
Frequency Tables
Cochran's Q Test
Loglinear Models
Mantel-Haenszel Test
Quality Control
Click here to see additional details about quality control in NCSS.
X-bar and R Charts
X-bar and s Charts
X-bar Charts
R Charts
s Charts
CUSUM Charts
EWMA Charts
Moving Average Charts
Individuals and Moving Range Charts
Levey-Jennings 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 - Age-Specific
Robust Linear Regression (Passing-Bablok Median-Slope)
Tolerance Intervals
Regression
Click here to see additional details about regression in NCSS.
Simple Linear Regression
Linear Regression and Correlation
Linear Regression and Correlation (Old Version)
Box-Cox Transformation for Simple Linear Regression
Robust Linear Regression (Passing-Bablok Median-Slope)
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
Mediation Analysis
Analysis of Covariance (ANCOVA) with Two Groups
One-Way Analysis of Covariance (ANCOVA)
General Linear Models (GLM) for Fixed Factors
Multiple Regression (Old Version)
Logistic Regression
Logistic Regression
Conditional Logistic Regression
Discriminant Analysis
Probit Analysis
Logistic Regression (Old Version)
Cox Regression
Cox Regression
Parametric Survival (Weibull) Regression
Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
Two-Sample Equivalence Tests for Survival Data using Cox 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
Count Data
Poisson Regression
Zero-Inflated Poisson Regression
Negative Binomial Regression
Zero-Inflated Negative Binomial Regression
Geometric Regression
Nondetects Data
Nondetects-Data Regression
Survival Data
Cox Regression
Parametric Survival (Weibull) Regression
Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
Two-Sample Equivalence Tests for Survival Data using Cox Regression
Probit Analysis
Nonlinear Regression
Nonlinear Regression
Curve Fitting - General
Curve Fitting - CDF
Michaelis-Menten 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
Method Comparison
Deming Regression
Passing-Bablok Regression for Method Comparison
Mediation Analysis
Mediation Analysis
Time Series
Multiple Regression with Serial Correlation
Harmonic Regression
Two-Stage Least Squares
Two-Stage Least Squares
ROC Curves
Click here to see additional details about ROC curves in NCSS.
One ROC Curve and Cutoff Analysis
Comparing Two ROC Curves - Paired Design
Comparing Two ROC Curves - Independent Groups Design
ROC Curves (Old Version)
Survey Data
Click here to see additional details about survey data analysis in NCSS.
Contingency Tables (Crosstabs / Chi-Square Test)
Frequency Tables
Cochran's Q Test
Descriptive Statistics - Summary Tables
Descriptive Statistics - Summary Lists
Cluster Randomization - Create Cluster Means Dataset
Cluster Randomization - Create Cluster Proportions Dataset
Cluster Randomization - Create Cluster Rates Dataset
Loglinear Models
Item Analysis
Data Screening
Descriptive Statistics - Summary Tables (Old Version)
Survival Analysis / Reliability
Cumulative Incidence
Kaplan-Meier Curves (Logrank Tests)
Life-Table Analysis
Cox Regression
Parametric Survival (Weibull) Regression
Two-Sample Non-Inferiority Tests for Survival Data using Cox Regression
Two-Sample Superiority by a Margin Tests for Survival Data using Cox Regression
Two-Sample Equivalence Tests for Survival Data using Cox Regression
Beta Distribution Fitting
Distribution (Weibull) Fitting
Gamma Distribution Fitting
Group-Sequential Analysis for One Hazard Rate
Group-Sequential Non-Inferiority Analysis for One Hazard Rate
Group-Sequential Superiority by a Margin Analysis for One Hazard Rate
Group-Sequential Analysis for Two Hazard Rates
Group-Sequential Non-Inferiority Analysis for Two Hazard Rates
Group-Sequential Superiority by a Margin Analysis for Two Hazard Rates
Mantel-Haenszel Test
Probit Analysis
Tolerance Intervals
Cluster Randomization - Create Cluster Rates Dataset
Survival Parameter Conversion Tool
Time Calculator
Time Series
Click here to see additional details about time series and forecasting in NCSS.
ARIMA (Box-Jenkins)
Automatic ARMA
Theoretical ARMA
Autocorrelations
Cross-Correlations
Spectral Analysis
Decomposition Forecasting
Exponential Smoothing - Horizontal
Exponential Smoothing - Trend
Exponential Smoothing - Trend / Seasonal
Harmonic Regression
Analysis of Runs
T-Tests
Click here to see additional details about comparing means in NCSS.
One Sample
One-Sample T-Test
One-Sample T-Test for Non-Inferiority
One-Sample T-Test for Superiority by a Margin
One-Sample T-Test for Equivalence
Group-Sequential Analysis for One Mean with Known Variance
Group-Sequential Non-Inferiority Analysis for One Mean with Known Variance
Group-Sequential Superiority by a Margin Analysis for One Mean with Known Variance
Group-Sequential T-Tests for One Mean
Group-Sequential Non-Inferiority T-Tests for One Mean
Group-Sequential Superiority by a Margin T-Tests for One Mean
Paired Samples
Paired T-Test
Paired T-Test for Non-Inferiority
Paired T-Test for Superiority by a Margin
Paired T-Test for Equivalence
Two Samples
Two-Sample T-Test
Two-Sample T-Test from Means and SD's
Two-Sample T-Test for Non-Inferiority
Two-Sample T-Test for Superiority by a Margin
Two-Sample T-Test for Equivalence
Analysis of Covariance (ANCOVA) with Two Groups
Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
Group-Sequential Analysis for Two Means with Known Variances
Group-Sequential Non-Inferiority Analysis for Two Means with Known Variances
Group-Sequential Superiority by a Margin Analysis for Two Means with Known Variances
Group-Sequential T-Tests for Two Means
Group-Sequential Non-Inferiority T-Tests for Two Means
Group-Sequential Superiority by a Margin T-Tests for Two Means
2x2 Cross-Over Designs
Analysis of 2x2 Cross-Over Designs using T-Tests
Analysis of 2x2 Cross-Over Designs using T-Tests for Non-Inferiority
Analysis of 2x2 Cross-Over Designs using T-Tests for Superiority by a Margin
Analysis of 2x2 Cross-Over Designs using T-Tests for Equivalence
Multivariate Analysis
Hotelling's One-Sample T2
Hotelling's Two-Sample T2
Method Comparison
Bland-Altman Plot and Analysis
Two-Level Designs
Analysis of Two-Level Designs
Two-Way Tables
Click here to see additional details about analysis of proportions and two-way tables in NCSS.
Contingency Tables (Crosstabs / Chi-Square Test)
Frequency Tables
Cochran's Q Test
Loglinear Models
Mantel-Haenszel Test
Graphics Procedures
Click here to see additional details and samples of the graphs and plots that are available in NCSS.
Bar Charts
Bar Charts
Bar Charts (2 Factors)
3D Bar Charts
3D Bar Charts (2 Factors)
Pareto Charts
Bland-Altman Plots
Bland-Altman Plot and Analysis
Box Plots
Box Plots
Box Plots (2 Factors)
Combo Charts
Combo Charts (2 Factors)
Violin Plots
Violin Plots (2 Factors)
Circular Data Plots
Circular Histograms
Circular Data Analysis
Rose Plots
Circular Data Analysis
Pie Charts
Pie Charts
Contour Plots
Contour Plots
3D Surface Plots
Response Surface Regression
Curve Fitting
Click here to see additional details about curve fitting in NCSS.
Curve Fitting - General
Curve Fitting - CDF
Michaelis-Menten Equation
Scatter Plot Matrix for Curve Fitting
Function Plots
Dendrograms
Hierarchical Clustering / Dendrograms
Clustered Heat Maps (Double Dendrograms)
Density Plots
Density Plots
Density Plots (2 Factors)
Combo Charts
Combo Charts (2 Factors)
Violin Plots
Violin Plots (2 Factors)
Dot Plots
Dot Plots
Dot Plots (2 Factors)
Combo Charts
Combo Charts (2 Factors)
Violin Plots
Violin Plots (2 Factors)
Error-Bar Charts
Error-Bar Charts
Error-Bar Charts (2 Factors)
Error-Bar Charts from Summary Data
Error-Bar Charts from Summary Data (2 Factors)
Scatter Plots with Error Bars
Scatter Plots with Error Bars from Summary Data
Combo Charts
Combo Charts (2 Factors)
Violin Plots
Violin Plots (2 Factors)
Forecasting
Click here to see additional details about time series and forecasting in NCSS.
Autocorrelation Plots
Autocorrelations
ARIMA (Box-Jenkins)
Automatic ARMA
Theoretical ARMA
Cross-Correlation Plots
Cross-Correlations
Data Plots
Autocorrelations
Cross-Correlations
Spectral Analysis
Theoretical ARMA
Decomposition Ratio Plots
Decomposition Forecasting
Forecast Plots
ARIMA (Box-Jenkins)
Automatic ARMA
Decomposition Forecasting
Exponential Smoothing - Horizontal
Exponential Smoothing - Trend
Exponential Smoothing - Trend / Seasonal
Lag Plots
Lag Plots
Partial Autocorrelation Plots
Autocorrelations
Periodograms
Spectral Analysis
Runs Charts
Analysis of Runs
Serial Correlation Plots
Linear Regression and Correlation
Linear Regression and Correlation (Old Version)
Multiple Regression
Multiple Regression - Basic
Multiple Regression with Serial Correlation
Robust Regression
Subset Selection in Multiple Regression
Spectrum Plots
Spectral Analysis
Theoretical ARMA
Forest Plots
Meta-Analysis of Two Proportions
Meta-Analysis of Proportions (Old Version)
Meta-Analysis of Correlated Proportions
Meta-Analysis of Two Means
Meta-Analysis of Means (Old Version)
Meta-Analysis of Standardized Mean Differences
Meta-Analysis of Hazard Ratios
Function Plots
Function Plots
Funnel Plots
Meta-Analysis of Two Proportions
Meta-Analysis of Two Means
Meta-Analysis of Standardized Mean Differences
Heat Maps
Clustered Heat Maps (Double Dendrograms)
Correlation Matrix
3D Surface Plots
Contour Plots
Histograms
Histograms
Histograms - Comparative
Histograms - Comparative (2 Factors)
Combo Charts
Combo Charts (2 Factors)
Circular Data Analysis
Capability Analysis
Violin Plots
Violin Plots (2 Factors)
Kaplan-Meier Curves (Survival)
Click here to see additional details about survival analysis and reliability in NCSS.
Kaplan-Meier Curves (Logrank Tests)
Line Charts
Line Charts
Line Charts (2 Factors)
3D Line Charts
3D Line Charts (2 Factors)
Mosaic Plots
Mosaic Plots
Percentile Plots
Percentile Plots
Percentile Plots (2 Factors)
Combo Charts
Combo Charts (2 Factors)
Violin Plots
Violin Plots (2 Factors)
Pie Charts
Pie Charts
Probability Plots
Normal Probability Plots
Weibull Probability Plots
Chi-Square Probability Plots
Exponential Probability Plots
Gamma Probability Plots
Half-Normal Probability Plots
Log-Normal Probability Plots
Uniform Probability Plots
Probability Plot Comparison
Quality Control Charts
Click here to see additional details about quality control in NCSS.
X-bar and R Charts
X-bar and s Charts
X-bar Charts
R Charts
s Charts
CUSUM Charts
Moving Average Charts
EWMA Charts
Individuals and Moving Range Charts
Levey-Jennings Charts
P Charts
NP Charts
C Charts
U Charts
Lag Plots
Pareto Charts
Capability Analysis
Analysis of Runs
ROC Curves
Click here to see additional details about ROC curves in NCSS.
One ROC Curve and Cutoff Analysis
Comparing Two ROC Curves - Paired Design
Comparing Two ROC Curves - Independent Groups Design
ROC Curves (Old Version)
Scatter Plots
Scatter Plots
3D Scatter Plots
Scatter Plots with Error Bars
Scatter Plots with Error Bars from Summary Data
Scatter Plot Matrix
Scatter Plot Matrix for Curve Fitting
Lag Plots
Stem-and-Leaf Plots
Stem-and-Leaf Plots
Back-to-Back Stem-and-Leaf Plots
Surface Plots
3D Surface Plots
Contour Plots
Response Surface Regression
Time Series
Click here to see additional details about time series and forecasting in NCSS.
Autocorrelation Plots
Autocorrelations
ARIMA (Box-Jenkins)
Automatic ARMA
Theoretical ARMA
Cross-Correlation Plots
Cross-Correlations
Data Plots
Autocorrelations
Cross-Correlations
Spectral Analysis
Theoretical ARMA
Decomposition Ratio Plots
Decomposition Forecasting
Forecast Plots
ARIMA (Box-Jenkins)
Automatic ARMA
Decomposition Forecasting
Exponential Smoothing - Horizontal
Exponential Smoothing - Trend
Exponential Smoothing - Trend / Seasonal
Lag Plots
Lag Plots
Partial Autocorrelation Plots
Autocorrelations
Periodograms
Spectral Analysis
Runs Charts
Analysis of Runs
Serial Correlation Plots
Linear Regression and Correlation
Linear Regression and Correlation (Old Version)
Multiple Regression
Multiple Regression - Basic
Multiple Regression with Serial Correlation
Robust Regression
Subset Selection in Multiple Regression
Spectrum Plots
Spectral Analysis
Theoretical ARMA
Violin Plots
Violin Plots
Violin Plots (2 Factors)
3D Plots
3D Scatter Plots
3D Surface Plots
3D Bar Charts
3D Bar Charts (2 Factors)
3D Line Charts
3D Line Charts (2 Factors)
Data Operations and Procedures
Operations
Data Window
Importing Data
Exporting Data
Exporting Data to R
Filters
Transformations
Data Entry and Search
Stacking Data
Unstacking Data
Creating Contrast Variables
Procedures
Box-Cox Transformation
Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
Box-Cox Transformation for Simple Linear Regression
Data Entry and Search Tool
Data List
Data Screening
Grubbs' Outlier Test
Data Simulation
Data Matching - Greedy
Data Matching - Optimal
Data Stratification
Descriptive Statistics - Summary Lists
Cluster Randomization - Create Cluster Means Dataset
Cluster Randomization - Create Cluster Proportions Dataset
Cluster Randomization - Create Cluster Rates Dataset
Time Calculator
Simple Random Sampling
Stratified Random Sampling
Simple Random Sampling with Group Assignment
Stratified Random Sampling with Group Assignment
Randomization Lists
Merging Two Datasets
Exporting Data to R
Tools
Calculators
Probability Calculator
Chi-Square Effect Size Calculator
Odds Ratio and Proportions Calculator
Standard Deviation Calculator
Survival Parameter Conversion Tool
Macros
Macros
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