CONFIDENCE LEVELS AND/VS. STATISTICAL HYPOTHESIS TESTING IN STATISTICAL ANALYSIS. CASE STUDY

Abstract

Estimated parameters with confidence intervals and testing statistical assumptions
used in statistical analysis to obtain conclusions on research from a sample
extracted from the population. Paper to the case study presented aims to highlight
the importance of volume of sample taken in the study and how this reflects on the
results obtained when using confidence intervals and testing for pregnant. If
statistical testing hypotheses not only give an answer "yes" or "no" to some
questions of statistical estimation using statistical confidence intervals provides
more information than a test statistic, show high degree of uncertainty arising from
small samples and findings build in the "marginally significant" or "almost
significant (p very close to 0.05).