Inferential Statistics for Data Science

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

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...

From inferential statistics to climate knowledge

Climate variability and change are risk factors for climate sensitive activities such as agriculture. Managing these risks requires “climate knowledge”, i.e. a sound understanding of causes and consequences of climate variability and knowledge of potential management options that are suitable in light of the climatic risks posed. Often such information about prognostic variables (e.g. yield, ra...