P-values are a widely used concept in stats as well as scientific study, however for those who are completely new with methods of statistics, they can be very puzzling.
So, what are p values?
P-value, often known as “probability value,” is a numerical measure of the chances that a particular event would occur by coincidence.
So, why is P-value important?
It supports us to figure out whether the patterns in the data are most likely caused by a true cause rather than by chance. A low P-value, often less than 0.05, denotes the likelihood that our findings are not random. This assures us that we are on to something important.
In conclusion, what I understood is if the p-value is significantly smaller than the null hypothesis will be rejected.
In the project as I will be using linear regression, p value plays an important role. There may be chances when I calculated the p value using the dataset taking various parameter’s such as inactivity, obesity. I am not sure how am I going to implement it. I will be asking the T.A or the professor on Fridays doubt session.