How to reduce type ii error Videos

• 1. P-Value, Null Hypothesis, Type 1 Error, Statistical Significance, Alternative Hypothesis & Type 2
• 2. Power, Type II error, and Sample Size
• 3. Type I and II Errors, Power, Effect Size, Significance and Power Analysis in Quantitative Research
• 4. Error Type (Type I & II)
• 5. Proof (part 3) minimizing squared error to regression line | Khan Academy
• 6. Proof (part 1) minimizing squared error to regression line | Khan Academy

p-Value, Null Hypothesis, Type 1 Error, Statistical Significance, Alternative Hypothesis & Type 2

User Comments

Ahmado Qadro commented on 15 Nov 2015

thanks a lot it helped me understand it easily .

Stomp On Step 1 commented on 16 Nov 2015

+Ahmado Qadro Thanks for the feedback :)

Bathabile Giselle Dlamini commented on 11 Nov 2015

Thank you for your video! Very helpful!

Stomp On Step 1 commented on 13 Nov 2015

+Bathabile Giselle Dlamini thanks :)

Sanita B commented on 05 Nov 2015

Very Very helpful. I appreciate your videos being short, clear and precise.

Stomp On Step 1 commented on 06 Nov 2015

+Sanita B thank you for the kind words!

Rachel Stummer commented on 22 Oct 2015

Thank you!!!!

Stomp On Step 1 commented on 25 Oct 2015

+Rachel Stummer thanks :)

bahilleli commented on 05 Jul 2015

I wish a more basic form of this was taught to everyone (high school maybe) that would allow people to better decipher the stats and studies that are reported to them.

Stomp On Step 1 commented on 07 Jul 2015

+bahilleli Agreed. With just a little biostats knowledge you can easily tell that a lot of news reports are misinterpreting/misrepresenting the stats and research they cite

Power, Type II error, and Sample Size

User Comments

Arisellia commented on 18 Sep 2015

This was so incredibly helpful; thank you!

cblanq commented on 19 Aug 2013

Thank you for this video.

freethinkr81 commented on 17 Mar 2015

Thank you!

Type I and II Errors, Power, Effect Size, Significance and Power Analysis in Quantitative Research

User Comments

ricardo rodriguez commented on 09 Nov 2015

Good and easy to understand Video really helped me with my Masters Nursing Research Class! Thanks!

Mario Rmz commented on 16 Dec 2015

Congrats ricardo rodriguez!

NurseKillam commented on 15 Nov 2015

Awesome to hear. You are welcome :)

Manuel Sanchez commented on 06 Oct 2015

Very good video.

NurseKillam commented on 06 Oct 2015

+Manuel Sanchez Thank you :)

Katie Lawton commented on 28 Sep 2015

Where can I find more quantitative statistics? what is the name of your book?

NurseKillam commented on 06 Oct 2015

+Katie Lawton Research eBook on Amazon: //amzn.to/1hB2eBd

NurseKillam commented on 03 Oct 2015

I have a few videos in a playlist called quantitative research and statistics on my channel My book is called: Complex research terminology simplified. There is a link under many of my videos.

any one commented on 04 Aug 2015

could you please help me to determine the sample size???

NurseKillam commented on 04 Aug 2015

Have you done a power analysis? I talk a bit about how to know what the sample size is in this video but you'll find more detail in a stats book.

Error Type (Type I & II)

User Comments

Lee Brown commented on 03 Mar 2010

No I am not kidding. That is what a census is. It measures every individual and it is required by the constitution that we count every person individually. Now it is true that inherently we are going to miss some. So people with knowledge in statistics are pushing to try to include some manipulation of the data to deal with these issues. They hire 10's of thousands to go around to every address in the US. They try to count the homeless by picking a specific night to measure them.

Hadeer A S commented on 11 May 2013

In a hypothesis testing the decision can go either way: your sample can align with the null or alternative. You can say "accept the null" if you fail to reject it but they recently dropped that because it might involve you with the type II error (accepting H0 when it is false) when it's unnecessary. so it safer for you to say that you have no enough evidence to reject the null. (leaves you the type 1 and that only if your test actually detected an effect enough to reject)

lewiscooney commented on 13 Feb 2012

@bionicturtledotcom medical statistics made easy. its the one my university recommends but I don't like it. It doesn't go into enough detail for me to actually apply it. When I used it statistics was an abstract unapplied thing that I couldn't actually use. If I was a bit cleverer maybe I could extrapolate from simple definitions and calculations but I need a helping hand to apply it to actual research papers and documents

ObliviousMin commented on 27 Mar 2010

@lbrown1956 However, it is practically impossible to include EVERY individual in a nation-state. For example, in Singapore, where I come from, its only 50km wide +/-, yet still, it is practically impossible to include every single individual. The first and utmost reason is the practicality of the situation, and second, it should be economically pragmatic; inexpensive.

Bionic Turtle commented on 04 Apr 2012

you can post questions at our forum at bionicturtle(dot)com/forum ... but in my humble opinion, part of the problem is you are linking Type 1/2 to the type of distribution. If you want to start at fundamentals, i would abstract from any distribution, then you may realize that your concept applies to (is independent of) the particular distribution. thanks!

MyNASH111 commented on 17 Feb 2012

@bionicturtledotcom Hi..we say that it is not possible to minimise both the errors simultaneously..that is if we attempt to decrease type 1 error (alpha), the type 2 error increases. (beta)..but how can we prove this correlation between these two types of errors?? that is how can we show that a decrease in alpha increases beta..thanks..

Bionic Turtle commented on 03 Apr 2012

Conceptually, it does not really matter that the distribution is normal. The significance (e.g., 5%) is the probability of a Type I error and, if you use a different distribution, the different shape is reflected in a different deviate. Instead of 1.645 associated with the normal, your deviate comes from your distribution

Ishayau commented on 01 Jul 2010

I like your tutorials but this one was a little confusing. May be this can help: Type I error – when we reject a “good” part as “bad” Type II error – when we accept a “bad part” as “good”. If the part is critical to safety we would prefer to make a type I error.

Lee Brown commented on 01 Mar 2010

What do you mean the census doesn't measure everybody, this is exactly wrong. They do measure the a set of specific characteristics of everybody. It is true that they don't measure certain characteristics of everybody but there is a base set that they do measure of everybody.

Bionic Turtle commented on 20 Feb 2012

@cleobabie not if one-tailed, i showed both, see (eg) @4:25. A CI (bound), like a test, can be 1 or 2-tailed (sided). A one-sided test, (eg., all VaRs), have the 5% significance in one tail

Bionic Turtle commented on 05 Feb 2012

@DURound Yes, agreed ... I had thought the Census was a sample, but as other commentors pointed out, a Census is an attempted survey of a population, so I did use a bad example. Thanks!

jlive1975 commented on 11 Nov 2008

you're a life saver david, im using your videos to help study for the Level 1 exam and they really help crystallize a lot of the quant material specifically. Thanks so much!

Proof (part 3) minimizing squared error to regression line | Khan Academy

User Comments

oling2812 commented on 12 Apr 2013

To everyone who's wondering where part 2 is, here's the link; (can't post the link so here's the url after the .com: /watch?v=f6OnoxctvUk

Kaiyin Zhong commented on 13 Dec 2010

@laputahayom Accidentally found it in the youtube suggestions. The playlist needs a bit tidying up, I guess.

Kristian Blystad Houge commented on 04 Mar 2015

this playlist still needs some tidying up. Just move proof part 2 between part 1 and 3 please.

Kaiyin Zhong commented on 13 Dec 2010

@laputahayom Search "Proof Part 2 Minimizing Squared Error to Line" on youtube, you will find it.

dalcde commented on 06 Nov 2010

I like partial derivatives because many things reduce to zero!

Kaiyin Zhong commented on 13 Dec 2010

This playlist needs some tidying up, I figure.

Kaiyin Zhong commented on 13 Dec 2010

Where is part two, seriously.

dalcde commented on 20 Dec 2010

It's after the example.

ad2181 commented on 07 Nov 2010

Excellent insight.

Ädamas hinton commented on 07 Nov 2010

where is part two

bartcase commented on 08 Apr 2011

you're awesome

Proof (part 1) minimizing squared error to regression line | Khan Academy

User Comments

dfsfklsj commented on 10 Jun 2012

After I finish this series, how confident should I feel about taking the AP Statistics exam? Assume that I understand and how to apply at least 95% of the material? Someone give an answer plz :)

sanchezisyodaddy commented on 26 Apr 2012

I very much believe that a fair amount of my tuition money should be going to Mr. Khan. Seriously dude you have helped me more than most of my professors have.

ShierPrism commented on 17 Sep 2013

I don't get where he gets the expansion of the brackets from, which vid explains how to do this?

Austin Conlon commented on 09 Dec 2011

We always appreciate the color-coding :)

Amera Malik commented on 18 Mar 2012

Thank You ! I really appreciate it !

Incrue commented on 23 May 2015

Shouldn't this be part 2?