STATISTICA Power Analysis
Features list
Confidence Interval Estimation
Modern statistical practice has placed renewed emphasis on confidence interval estimation, both in planning studies and evaluating their meaning. STATISTICA Power Analysis is unique among programs of its type in that it calculates confidence intervals for a number of important statistical quantities such as standardized effect size (in t-tests and ANOVA), the correlation coefficient, the squared multiple correlation, the sample proportion, and the difference between proportions (either independent or dependent samples). These capabilities, in turn, may be used to construct confidence intervals on quantities such as power and sample size, allowing the user to utilize the data from one study to construct an exact confidence interval on the sample size required for another study.
Statistical Distribution Calculators
Besides the wide range of distributions available in all modules of STATISTICA, the STATISTICA Power Analysis program provides special capabilities that are particularly useful in performing power calculations. These routines, which include the noncentral t, noncentral F, noncentral chi-square, binomial, exact distribution of the correlation coefficient, and the exact distribution of the squared multiple correlation coefficient, are characterized by their ability to solve for an unknown parameter, and for their ability to handle "non-null" cases.