1 Proportion 
Computes a confidence interval and performs a hypothesis test of the proportion. 

1 Variance Test 
Computes confidence intervals for the standard deviation and variance of a population and performs a hypothesis test of the variance. 

1Sample Sign 
Performs a hypothesis test of the median or calculates the corresponding point estimate and confidence interval. 

1Sample t 
Computes a confidence interval and performs a hypothesis test of the mean when the standard deviation of the population is unknown. 

1Sample Wilcoxon 
Performs a signed rank test of the median or calculates the corresponding point estimate and confidence interval. 

2 Proportions 
Computes a confidence interval and performs a hypothesis test of the difference between two proportions. 

2K Factorial DOE 
Performs a 2K Factorial DOE for full, fractional, or PlackettBurman designs. 

2Sample t 
Performs an independent 2sample ttest and generates a confidence interval. 

Analysis Capture 
Use for analyses that do not have their own analysis capture tool. 
n/a 
Attribute Agreement Analysis 
Assesses the agreement of nominal or ordinal ratings given by multiple appraisers. 

Best Subsets Regression 
Identifies the bestfitting regression models that can be constructed with the predictor variables you specify. 

Binary Logistic Regression 
Performs logistic regression on a binary response variable. 

Boxplot 
Assesses and compares sample distributions. 

C Chart 
Tracks the number of defects and detects the presence of special causes. 

Capability Analysis (Binomial) 
Produces a process capability report when your data are from a binomial distribution. 

Capability Analysis (Nonnormal) 
Produces a process capability report when your data do not follow a normal distribution or are transformed (using Johnson distribution system) to follow a normal distribution. 

Capability Analysis (Normal) 
Produces a process capability report when your data are from a normal distribution or are transformed to follow normal distribution using BoxCox transformation. 

Capability Analysis (Poisson) 
Produces a process capability report when your data are from a Poisson distribution. 

Capability Sixpack (Nonnormal) 
Produces a process capability report when your data do not follow a normal distribution. 

Capability Sixpack (Normal) 
Produces a process capability report when your data follow a normal distribution. 

ChiSquare Goodness of Fit 
Tests whether your data follow a multinomial distribution with certain proportions. 

ChiSquare Test of Independence 
Tests for dependence among characteristics in a twoway classification. 

Contour Plot 
Maps measurement values as a function of two other variables. 

Correlation 
Calculates the Pearson product moment correlation coefficient between each pair of variables you list. 

Deviation From Nominal Chart 
Is a modification of either the IMR or the XbarR/S Chart. It is used for low volume conditions where a family of parts shares the same process. 

Dotplot 
Assesses and compares distributions by plotting the values along a number line. 

Equal Variances Test 
Performs hypothesis tests for equality or homogeneity of variance. 

Fitted Line Plot 
Performs regression with linear and polynomial (second or third order) terms, if requested, of a single predictor variable and plots a regression line through the data. 

Gage Linearity & Bias Study 
Examines gage linearity and accuracy. 

Gage R&R Study (Crossed) 
Determines how much of your observed process variation is due to measurement system variation when each part is measured multiple times by each operator. 

Gage R&R Study (Nested) 
Determines how much of your observed process variation is due to measurement system variation when each part is measured by only one operator. 

Gage Run Chart 
Plots all of your observations by operator and part number. 

General Full Factorial (GFF) DOE 
Provides a costeffective methodology for conducting controlled experiments (DOEs) where the factors (process inputs) can be held at any number of levels (settings). 

Graphical Summary 
Produces a graphical summary of your data. 

Graphing Y vs Categorical X 
Evaluates how process inputs affect static or dynamic patterns of the process output. 

Histogram 
Examines the shape and spread of sample data. 

IMR Chart 
Produces an Individuals chart and Moving Range chart in the same graph window. 

Individual Value Plot 
Assesses and compares sample distributions by plotting individual values for each variable or group in a vertical column, making it easy to spot outliers and see the distribution shape. 

Interactions Plot 
Plots means for each level of a factor with the level of a second factor held constant. 

KruskalWallis 
Performs a hypothesis test of the equality of population medians for a oneway design (two or more populations). 

Main Effects Plot 
Plots data means when you have multiple factors. 

MannWhitney 
Performs a hypothesis test of the equality of two population medians and calculates the corresponding point estimate and confidence interval. 

Matrix Plot 
Assesses the relationships between many pairs of variables at once by creating an array of scatterplots. 

Mixture DOE 
Analyzes a designed experiment in which the product under investigation is made up of several components or ingredients. 

Moods Median Test 
Performs a hypothesis test of the equality of two population medians and, like the KruskalWallis Test, provides an nonparametric alternative to the oneway analysis of variance. 

MultiVari Chart 
Presents analysis of variance data in a graphical form providing a "visual" alternative to analysis of variance. 

Multiple Regression 
Describes the statistical relationship between a response and two or more predictors. 

Multiple Response Optimization 
Determines the optimal conditions that will produce the "best" value for the response in a designed experiment. 

Normality Test 
Generates a normal probability plot and performs a hypothesis test to examine whether or not the observations follow a normal distribution. 

NP Chart 
Tracks the number of defectives and detects the presence of special causes. 

OneWay ANOVA 
Tests the equality of population means when classification is by one variable. 

P Chart 
Tracks the proportion defective and detects the presence of special causes. 

Paired t 
Tests the mean difference between paired observations when the paired differences follow a normal distribution. 

Pareto Chart 
Is a type of bar chart in which the horizontal axis represents categories of interest, rather than a continuous scale. 

Probability Plot 
Determines whether a particular distribution fits your data or compares different sample distributions. 

Response Surface DOE 
Examines the relationship between one or more response variables and a set of quantitative experimental variables or factors. 

Run Chart 
Looks for evidence of patterns in your process data, and performs two tests for nonrandom behavior. 

Scatterplot 
Illustrates the relationship between two variables by plotting one against the other. 

Simple Regression 
Describes the statistical relationship between a response and one predictor. 

Six Sigma Process Report 
Produces six process capability reports for a single quality characteristic of a product. 
(available only with the Six Sigma module) 
Six Sigma Product Report 
Generates various benchmark statistics for the product. This report combines measures (defect counts, number of units, and number of opportunities) from many characteristics into a product capability, or measures from many products into a "business capability." 
(available only with the Six Sigma module) 
Stepwise Regression 
Removes and adds variables to the regression model for the purpose of identifying a useful subset of the predictors. 

Surface Plot 
Evaluates relationships between three variables at once. 

Time Series Plot 
Evaluates the timebased behavior of process inputs and outputs. 

U Chart 
Tracks the number of defects per unit sampled and detects the presence of special causes. 

XbarR or S Chart 
Displays a control chart for subgroup means (Xbar chart) and a control chart for subgroup ranges (R chart) or subgroup standard deviations (S chart) in the same graph window. 
