Understand P value less than 0.05 (Problem & Solutions)

Understand P value less than 0.05 (Problem & Solutions)

Key points A p-value is a probability that measures the likelihood that the data you observed (or more extreme data) occurred by random chance, assuming that the null hypothesis is true. A common threshold for declaring statistical significance is 0.05.  Suppose the p value is less than or equal to 0.05 . In that case, you reject the null hypothesis and conclude that there is sufficient evidence to support the alternative hypothesis.  Suppose the p value is more significant than 0.05 . In that case, you fail to reject the null hypothesis and conclude insufficient evidence supports the alternative hypothesis. Hi, I'm Zubair Goraya, a data analyst and a writer for Data Analysis, a website that offers tutorials on Rstudio and other data analysis topics.  In this article, I will explain what it means when the p-value is less than 0.05, how to interpret it, and how to use it in Rstudio. I will also answer some frequently asked questions about p-values and statistical significance. What is a p-v…