Statistical Tasks

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Analyst contains a wide range of statistical tasks. You can compute descriptive statistics, perform simple hypothesis tests, and fit models with analysis of variance and regression analysis. There are also tasks for survival analysis, mixed models, repeated measures analysis, and multivariate techniques. Analyst also provides basic sample size and power computations. Graphics are included in most analytical tasks, and you can request many types of graphs directly from the Graphs menu.

Descriptive

The descriptive statistical tasks that you can perform on your data include

• summary statistics

• distributions

• correlations

• frequency counts

Table Analysis

In the Table Analysis task, you can create and analyze 2-way to n-way frequency tables.

Hypothesis Tests

The hypothesis tests that you can perform on your data include

• one-sample Z-test for a mean

• one-sample t-test for a mean

• one-sample test for a proportion

• one-sample test for a variance

• two-sample t-test for means

• two-sample paired t-test for means

• two-sample test for proportions

• two-sample test for variances

ANOVA

You can perform one-way, nonparametric one-way, and factorial analysis of variance (ANOVA). You can also fit the general linear model, perform repeated measurements ANOVA, and fit basic mixed models.

Regression

The Linear Regression task provides linear and multiple linear regression analysis. The Simple Linear Regression task predicts a dependent variable from a single independent quantitative variable.

The Logistic Regression task investigates the relationship between a binary outcome (such as success and failure) or an ordinal outcome (such as mild, moderate, and severe) and a set of explanatory variables.

Multivariate

The Principal Components task computes principal components from a set of variables.

The Canonical Correlation task describes the relationship between two sets of variables by finding a small number of linear combinations from each set of variables that have the highest possible between-set correlations.

Survival

The Life Tables task computes nonparametric estimates of the survival distribution of data that may be right censored due to withdrawals or study termination. This task computes rank tests and a likelihood ratio test for testing homogeneity of survival functions across strata.

The Proportional Hazards task performs regression analysis of survival data based on the Cox proportional hazards model.

Sample Size

The Sample Size tasks enable you to determine the power of a test, given the sample size, or the sample size required to obtain a specified power. These calculations can be made for a variety of situations, including t-tests, confidence intervals, tests of equivalence, and one-way ANOVA. These are prospective power and sample size computations; retrospective power computations are provided for some of the analytical tasks.

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