Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now:
Learn how to compare a P-value to a significance level to make a conclusion in a significance test.
View more lessons or practice this subject at
AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he’s hard at work creating new exercises and articles for AP¨_ Statistics.
Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today!
Donate here:
Volunteer here:
source
P value makes me cry
why is it all college students, I am doing it in 10th grade, holy
Reminds me how my university lecturer explains while I sleep.
while calculating the p-value why is the are we using ">=" instead of =
My continuous problem with Khan is that they explain *most of it very very well and then there is always something they just don't explain and act like it's a given with no explaination. For example, in this video, tell me where the significance level came from? Did you pull it out of thin air? Why did you decide on 0.05? In theory, Khan is great, but I find in practice they never go to the level I need them to go.
Any one in November 2025 for exams
I was kinda sick of this topic in my data science bootcamp but I finally understand it
I came here to do some review from material outside of class and I've never been disappointed. One thing I have a question on, however, is both of my statistics classes (books, study materials, professors) have always indicated that the p value must be less than or equal to alpha to reject the H0, and only fail to reject is p value is greater than. Not p value less than – reject but if equal to or greater fail to reject.
Posted 7 years ago and still relevant
Thanks, my university lectures on p-values drove me to tears
Awesome explanation!
The amazing Khan academy!
thank you
Thank you! Thank you!
Would have been to include the logic statement if the outcome was less than 20 minutes because people might like the site less now for an extra 2 minutes of explaining time. Great video overall though.
Only took 8 mins and things are now crystal clear! Thank you so much for saving me!
Thank you!!
Is 0.05 always the given number in this topic?
how you find the p-value?. how the table of p-value formed?
Brown Timothy Hall Deborah Young Elizabeth
Going to khan academy is like going to Lamar.
Finally i got it , Thank you 🥹🥹🥹🥹💕💕💕💕💕
❤
Great video!
For those who may still be struggling, here's how i learned it in simple terms. Feel free to correct me if I've misspoken.
You want to compare A to B. Can be anything. Like a straight line of points points to a semi-straight line of points.
Question, are they the same?
nuLL: has two 'L' s at the end of nuLL. They're the same letter L. Thus, null means they're the same. (A is the same as B).
p-value: in it's simplest form, p is the probability the null is true.
If p =1. Then nuLL is true.
If p = 0. Then nuLL is not true.
The threshold value is 0.05, usually.
If p is less than 0.05, then nuLL is not true. Meaning A and B are not the same.
If p was, for example 0.80, then obv it's way higher than 0.05 (the threshold). And if p is the probability that the nuLL is true, then A=B in this case.