Minimal sample size for testing trinomial proportions for given precision of probability of type I error

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Minimal sample size for testing trinomial proportions for given precision of probability of type I error

Authors

Edyta Mazurek, Katarzyna Ostasiewicz

Publisher

Vita e Pensiero

Format

Article |

Pdf

Pages

Online from

01-2013

Issn

1824-6672 (print) | 2283-6659 (digital)

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Description Readers' comments

The determination of sample size is a common task for many organizational researchers. Inappropriate, inadequate or excessive sample size continues to influence the quality, accuracy and costs of research. Sample size is one of the features of analysis that can influence the detection of significant differences for population so we can’t ignore problem of sample size. This paper presents a procedure and a table for selecting sample size for simultaneously testing the parameters of a trinomial distribution. The results are obtained by examining the several possible value of a trinomial parameter vector and comparing the fixed first error type with the empirical one obtained by building the exact distribution through the code R.

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