The calculation of the p value depends on the statistical test you are using to test your hypothesis: Different statistical tests have different assumptions and generate different test statistics. You should choose the statistical test that best fits your data and matches the effect or relationship ...
Jim Frost. Understanding hypothesis tests: Significance levels (alpha) and p values in statistics, June 2015. URL: http://blog.minitab.com/blog/adventures-in-statistics/understanding-hypothesis- tests%3A-significance-levels-alpha-and-p-values-in-statistics (Accessed: 2016-04-15)....
I think I'm confused with the concept of the P-Value. Take the hypothesis: Ho: u = 5 Ha: u != 5 And then take another hypothesis: Ho: u = 5 Ha: u...
POST-SECONDARY TEACHERS' UNDERSTANDING OF P-VALUE 来自 Semantic Scholar 喜欢 0 阅读量: 57 作者:J Dolor,D Kirin 摘要: The last three decades has seen a significant growth in the number of students taking introductory statistics at the post-secondary level. It is therefore imperative to ensure ...
There is no single correct answer for all circumstances. Consequently, you need to choose the significance level! While the significance level indicates the amount of evidence that you require, thep-valuerepresents the strength of the evidence that exists in your sample. When your p-value is less...
The second article in this series on biostatistics covers the concepts of sample, population, research hypotheses and statistical errors.Ranganathan P, Pramesh CS. An Introduction to Statistics: Understanding Hypothesis Testing and Statistical Errors. Indian J Crit Care Med 2019;23(Suppl 3):S230-S23...
Public sentiment towards the police is a matter of great interest in the United States, as reports on police misconduct are increasingly being published in mass and social media. Here, we test how the public’s perception of the police can be majorly shaped by media reports of police brutality...
The monocyte distribution width (MDW) has emerged as a promising biomarker for accurate and early identification of patients with potentially life-threatening infections. Here we tested the diagnostic performance of MDW in adult patients requiring hospital admission for community-acquired infections and sep...
The T-test is a hypothesis testing method that helps in testing the significance of two or more groups and determining the important differences between the groups being compared. It is a variation of inferential statistics and is mostly used with datasets that possess a normal distribution but wi...
In statistics, an index of skewness measures the bias of a probability distribution, based on the differences between the mean (average) and median (middle) values. A positive index of skewness indicates that a probability distribution is skewed to the right, with more high extremes than low on...