Calculating Power and the Probability of a Type II Error (A Two-Tailed Example)

An example of calculating power and the probability of a Type II error (beta), in the context of a two-tailed Z test for one mean. Much of the underlying logic holds for other types of tests as well.

[jbstatistics]

You are welcome Fatima. I'm glad you found of my videos helpful!

[lastchance]

I'm helping my daughter through college statistics right now. So, I have looked at literally dozens of other YouTube sites. Your treatment of the subject, explanations and examples are by far the best on YouTube. I would very much like to know what software you are using to display your wonderful graphs and text. I think it would help me as well. Thank you again

[thomasglass]

This is very well done. Your examples are carefully chosen, your pace supportive, and the explanations clear. Thank you!

[rayraystinz]

I consistently return to this channel - thank you for all of the shared knowledge!

[HK-nowm]

You are the reason I passed my probability course and you will be the reason I pass my Stats course. Thank you :)

[jbstatistics]

You are welcome! I'm glad to be of help. I hope the rest of your class goes well.

[slashful]

Thank you so much for this, I've been looking everywhere and reading everything trying to figure out how to calculate the power.

[bethe]

I know this is an old post, but this was so helpful. Thank you so much for the great explanation.

[cococnk]

This was mega useful... you clear up so many doubts....

Understanding, proving the concept is just epic.

[carelynliew]

Just want to say a very big thank you for all your videos! They are so clear and straightforward!! I'm having an exam on statistic in 2 days and I was so afraid of failing until I found your channel. Your videos really help a lot! Keep up the good work!

[burcutulpar]

I believe you mixed up power and type two error. The value we find from the z score table, the area of overlap should be the beta error, not the power.

[zelousfoxtrot]

(Hushed dramatic voice) Here, in the wilds of YouTube, we have found the rare, greatly celebrated and valued, instructor who can explain things in an understandable language. Often found by either chance or by guide, these amazing individuals save our grade when the homework gets hard and the professor is a garbled mess.

[sallyzheng]

I really appreciate the way you explain the steps to get to the results. 

Thank you!

[jbstatistics]

You are very welcome Zeke! I'm glad you found it helpful.

[jbstatistics]

Thanks! Sometimes it's just a different strokes for different folks sort of thing. I'm sure my students post the same comment on other channels :)

[gabrielpadilha]

Best video about the subject i ever saw. Thank you so much, i am learning how to do that in python

[primeking]

you know what bro?, you are a soo much

[thisismyhappydays]

You are much better than my lecturer, and your videos are much better than others as well

[mohammadpourheydarian]

Well organized and a natural teacher with a clear English accent. Thank you.

[dogabingol]

I am the person not knowing anything about biometry and I can say that this video is very helpful