Inferential Statistics Is an Unfit Tool for Interpreting Data

Inferential Statistics for Social and Behavioural Research

This paper provided an insight to the effective use of inferential statistics for social and behavioural research. As a theoretical paper, it explored the importance of tests of significance emphasizing the need to use the appropriate test for a particular research. It showed that a parametric test is one that involves the estimation of the value of at list one population parameter and the fact...

Inferential Statistics from Black Hispanic Breast Cancer Survival Data

In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973-2009. We selected a stratified random sample of Black Hispanic female patients from the Surveillance Epidemiology and End Results (SEER) database to derive the statistical probability mode...

Effect Size vs Inferential Statistics

An Application Of Inferential Statistics To The Factorial Invariance Problem.

Attention has been drawn to the lack of standards for evaluating the degree of goodness of fit of patterns resulting from a principal components analysis of two data sets. An empirical sampling distribution of the statistic average trace (E'E), as E is obtained in the orthogonal Procrustes problem for various orders of A matrices was developed through a Monte Carlo approach. A method is present...

Chapter 14 . Inferential Statistics , Descriptive Statistics and The Analysis Plan

Provided that the data show that a compound is safe, it is the primary efficacy analysis that determines whether the compound is approved. The secondary analyses support, clarify and confirm, but only one prospectively planned efficacy analysis can be primary in support of an effectiveness claim for a given trial. Why should this be so? And how can we design the trial and set up the primary eff...