Sample Manager – Survey Data Analysis

How many people prefer brand A? How many households have a black and white TV? How many patients progressed on drug X? What proportion of electors voted for candidate Y? These are all questions that we can answer by surveying samples of individuals with the appropriate characteristics.

In order to design a sample that makes sense, it is important to determine the number of required interviews. How large should the sample be? The answer can be found with Sample Manager, quickly, accurately, and objectively. It is indeed the objectivity of probabilistic assumptions, rather than 'gut feeling' assumptions, which helps companies save money and produce reliable survey studies.

Depending on your input selections, Sample Manager can produce a printable sensitivity analysis, or if you do not need a printout you can view the results in the user form.

This tool is part of the Survey Analysis suite, which comprises also Proportion Analyst, a tool for testing for significance the difference between two proportions, and CrossTab, a professional tool for running complex contingency table elaborations.