Explain statistical power Essay Example | Topics and Well Written Essays - 250 words

Explain statistical power - Essay casefulAccording to Ellis (71), statisticians conduct power analysis prior to experiments in order to anticipate the possibility of a study outlaying accurate results. The objective is estimating the effects of the larger sample size in relation to its implication on the study. The less the power, the higher the chances of the occurrence type II error and vice verse. The two possibilities results from the comparison of an error in data collection (Ellis 60). Consequently, statistical power is the retention of null with accuracy, hence the reason, look forers get through to attain more statistical power when conducting studies.The components that determine statistical powers in a research argon the sample size, the effect size, the alpha level and the power. Sample size refers to the units available for the study. Alpha levels are the chances of possibilities. mogul is the odd that will result from the treatment of the sample (Rubin 148). Lastly , effect size balances the strength of a research by eliminating errors in power analyses. Indeed, an analysis of the components prior to the collection of data is essential to facilitating accuracy in power