Understand P Values Quick in Under 3 Minutes!

P-values and the threshold p ≤ 0.05, used to determine statistical significance, are one of the most misunderstood concepts in statistics. Many struggle to interpret what p-values really mean, yet, it is one of the most common measures of significance in our statistics class and scientific literature. In this video, I will explain the p-value in simple terms using an easy example with moldy apples at the grocery store. We’ll break down p-values, how they connect to the null hypothesis and the alternative hypothesis, and what it really means when the p-value is less than 0.05. The p-value is a key idea in hypothesis testing, used in statistics, data science, and research. It helps us measure how likely our experiment’s results could have happened if the null hypothesis were true. If you’ve ever been confused in class when your professor wrote p ≤ 0.05 on the board without explaining, this video is for you. By the end, you’ll understand what the p-value really tells us, how to interpret it, and why it matters in statistics. Timestamps: 0:00 What are P-Values? 0:30 P-Value Example (Moldy Apples) 0:55 What are the Null Hypothesis and the Alternative Hypothesis 1:26 Statistical Significance 2:12 Why is the P-Value Less Than 0.05? Enjoyed this video? Here are some more videos you might be interested in! Standard Deviation    • Understand Standard Deviation Quick (Expla...   Type 1 and Type 2 Statistical Errors    • The Two Ways You Can Be Wrong With Data (T...   #statistics #mathematics #pvalue #statisticalsignificance #datascience #education