p Value Explained

How do you determine the results from a Test ? The p-Value (probability) gives us the answer. This video explains how you can tell if there is a difference or not.

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Education

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• Hypothesis Test
• Test
• Testing
• p-Value
• Six Sigma
• Lean Six Sigma
• Quality
• Statistics
• ANOVA
• educatevirtually
• educate virtually
• probability
• p value
• instructions
• instructional video
• tutorial
• how-to
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[aquaphone]

I'm in graduate school at Columbia University (yes, I really am) and you just did a far better job explaining this than my professor. Thanks to you, I now understand the concept. Congratulations, you just out-taught an ivy league school. (No disrespect to Columbia or my professor intended. It's not an easy concept to teach.) Thank you very much, keep up the good work.

[educatevirtually]

@aquaphone Thank you very much! If you learned from that video check out the rest the Educate Virtually channel. Also, we offer e-Learning! My practical application education came from the University of Maine College of Engineering. Thanks once again for your kind words. Charlie Carpenter, founder Educate Virtually

[Ahdree23]

So if there is no difference does that mean its not significant?

[educatevirtually]

@Ahdree23 If I am testing for normality I want to be able to say that my distribution is not different than a normal distribution, or there is no difference which is a significant result. If I am testing to determine if something makes a difference or not the low p values tell me there is a difference and the high p values tell me there is no difference. In either case the result is significant because I can now make the proper decision to declare if there is or isn't a difference.

[elizze6]

But what's the x and y axis for the bell shaped curve? I'm confused on what the graph is actually of. Mileage vs. what? And what makes it distributed that way?

[educatevirtually]

@elizze6 The x axis represents the values of gas mileage, the y axis is the frequency that an individual value of gas mileage occurs. The shape is a normal distribution, which in most cases is the shape of a data set of almost anything. Watch the testing for normality video to get a better understanding of the normal distribution. Happy New Year. Charlie

[hpdn2304]

i've been trying to understand this for the past 6 months and all it took was your 5 min vid to get the concept in my head....ur amazing!!

[d20s08l123]

It's so nice when someone is explaining statistics that they don't just give the equations but actually explain what the numbers mean. Thank you!

[abejatunisia]

Thank you very much!!

[MrPrabhubct]

good

[prianca090]

good work!

[sillylilly1986]

I have trying to understand this for a couple hours and you did it in 5 minutes! Thanks!!

[DoctorXProducer]

Thank you very much, sir. A very simple explanation for a concept I keep forgetting despite years of having to deal with the dreaded p-value.

[Wimplo]

very clear, thanks!