The Ongoing Tyranny Of Statistical Significance Testing
Article by Stang, Poole and Kuss (2010) titled “The ongoing tyranny of statistical significance testing in biomedical research” describe common misuses and interpretation of statistical significance testing (SST). The authors point out fallacy understanding in interpretive the p-value and how it often mixed in measuring effect size and its precision. This misconception then they assert may impede scientific progress and furthermore become unintended harmful treatment. They also proposed an important way out of the significance fallacies in this article. Therefore, in this article review, all the finding that made by the authors will be summarized and review of it will be drawn based on other references.
1.	Statistical Significance Test (SST) and P-value
Stang, Poole and Kuss explain, in SST, P-value is an important part to decide the null hypothesis. The SST itself, they explain is analytical approach that developed based on two prominent statisticians, Fisher and the Neyman-Pearson. However, in present practical, SST is incompatible amalgamation of those two theories. In Fisher theory, P value represents the strength of evidence against the null hypothesis: the lower the P-value, the stronger the evidence. In this theory, they criticize lake of alternative hypothesis and concept of statistical power. In contrast Neyman and Person theory included the alternative for the null hypothesis, type I and II error and theoretical of effect size. This hybrid method leads to…
A Statistical Test
Thus, in scientific research we are looking to prove that relationships are true or to prove that they are not true. The power of a statistical test is defined as the ability of the test to lead to a conclusion to accept the HA when in fact, the HA is true (Wirtz, 2013). Also, since the probability of a statistical study depends on the prior probability, statistical power, and the level of the observed P value, it means that the probability of a study finding a true relationship is the power of 1-β…
Statistics: Statistical Hypothesis Testing and Critical Value
the size of the home and the selling price? Use the .05 significance level. Yes, there is a positive correlation between the variables. c.	Can we conclude that there is a positive association between the size of the home and the selling price? Use the .05 significance level. Step 1: Step 2: The alternative hypothesis is which indicates a one tail test. The degrees of freedom (df) = n-2=12-2=10. The t value at the significance level of .05 and df of 8 and from appendix F is 1.812.…
Hypothesis Testing Is The Process Of Which An Analyst May Test A Statistical Hypothesis?
Hypothesis Testing Paper Monica Gschwind PSY 315 June 8, 2015 Judith Geske Hypothesis testing is the process in which an analyst may test a statistical hypothesis. The methodology used by the analyst is based on the nature of the data used and the main goals of the analysis. The main goal in this is to either reject or accept the null hypothesis. Through testing, results will show that someone who may prove one answer, may not mean that answer is actually correct, for there may be…
The Absenteeism and Its Statistical Significance and Interpretation in the Workplace
at the 5% level, not applicable in this report As indicated above that a single stared p value (*p) means that the coefficients are statistically significant and those which are double starred (**p) are statistically insignificant. To measure significance in this report we have used ∞ = 0.05 or 5%. We are not interested in other percentages except that of ∞ = 0.05 0r 5%. None of the coefficients are statistically insignificant as can be shown with the key above and the ANOVA Excel output in the…
The Ongoing Issue of Animal Cruelty, Abuse, and Animal Testing
Animal cruelty is an ongoing issue in today’s society. When we listen to the news and hear about these animals being starved, beaten, and treated poorly our hearts drop and we get a lump in our throat holding back the tears. We see these animals suffer, we see the pain in their eyes begging for our help, we want to put an end to this but we fail to see the bigger picture. Animal cruelty is a more severe and extreme than we think it is. Animal cruelty just is not owners beating their pets. Animal…
Statistical Significance of a Study: Development of a Health Model for Older Adults
Statistical Significance of a Study: Development of the model of health for older adults What statistical procedures are mentioned in the study? The research focused on the integration of various phases with the aim of achieving the goals and objectives in relation to the research questions. In the first phase, the research study integrated Statistical Packages for the Social Sciences (SPSS) Version 17.0. The main objective of this statistical analysis tool was to offer critical analysis to the…
Statistics: Statistical Hypothesis Testing and Easy Keywords
KEYWORDS: t test for mean difference, assumption 3. If we are testing for the difference between the means of 2 related populations with samples of n1 = 20 and n2 = 20, the number of degrees of freedom is equal to a) 39. b) 38. c) 19. d) 18. ANSWER: c TYPE: MC DIFFICULTY: Easy KEYWORDS: t test for mean difference, degrees of freedom 4. If we are testing for the difference between the means of 2 independent populations with samples…
Business Statistics, 9e (Groebner/Shannon/Fry) Chapter 10 Estimation and Hypothesis Testing for Two Population Parameters 1) The Cranston Hardware Company is interested in estimating the difference in the mean purchase for men customers versus women customers. It wishes to estimate this difference using a 95 percent confidence level. If the sample size is n = 10 from each population, the samples are independent, and sample standard deviations are used, and the variances are assumed equal,…