Thank you thank you!! It's like you knew exactly what confuses me and made a targeted video. I love the way you explained it. Does anyone else find your voice incredibly soothing? I could listen to you for hours...
OMG you are a life saver! I am taking online stats for behavioral sciences in an 8 week course and I was lost. Things are starting to make sense now!!!you are amazing!
Happy to save your life :)! Make sure you subscribe to the channel statisticsfun. I do take requests, so if there is anything you need help with let me know (I am sure other students are having the same difficulty). Make sure you like MyBookSucks on FaceBook (see link in video description). Good luck in your online stats class.
I cannot thank you enough. You've just saved me about 1/2 hour of falling asleep over my 500 page stats textbook... (am reviewing stats for work purposes)
Very good. Others were introducing the video with really technical explanations. How can we introduce a topic assuming that everyone knows. So I'm really grateful for this video👌❤
You are welcome a ton as well. I hope you will take a minute and like mybooksucks on Facebook this will help others find the videos (you can help ease their pain). You can see the link to MyBookSucks FB page in the description of this video.
That is a good question and hard to answer. I noticed a lot explanations on the internet and in texts are not real enlightening. The number of degrees of freedom (df) depends on how many variables (things you are trying to estimate). For example, with standard deviation there is only one variable being estimated (standard deviation), df = n-1 where n is the sample size. As the sample size becomes large the degrees of freedom become irrelevant. I do need to create a vid on this subject!
Are you doing a two tail test? If so you need to divide your significance by 2 (.10 divided by 2 is .05). Not sure about the 16. Because that is degrees of freedom. The degrees of freedom is equal the sample size of group 1 - 1 plus the sample size of group 2 - 1.
thank u for pointing out the reason for using t distribution instead of normal distribution: the population size is not large enough!! :D now it makes more sense to me
Always good to hear my videos are better than the classroom professor. Make sure you tell your classmates about the channel (ease their pain). Make sure you like MyBookSucks on FaceBook (see link in video description). This will help others find the educational videos.
The null hypothesis is that is no change. We reject the null hypothesis if the results fall within the green area and fail to reject it the results fall into green area.
When you write a compound inequality for two non-contiguous areas, you should split the inequality into two statements: z < -1.96 or z > 1.96 (read as "z is less than or equal to -1.96" or "z is greater than or equal to 1.96"). What you have written is incorrect because it implies that the negative value is greater than the positive value.
You are very welcome. Make sure you like MyBookSucks on FaceBook (see link in video description). This will help me spread the word about the free videos.
Thanks for this great explanation. However, I want to mention that the title is slightly misleading as the video doesn´t really show how to calculate t distributions.
Always wonderful to hear positive feedback. Make sure you like MyBookSucks on FaceBook (see link in video description). This will help others find the educational videos.
@ 4:58 You said that 2.093 is close to 1.96 its close to 2.00 differance of this size translates to a very different value of area under the curve especially when doing hypothesis and multiplying by large numbers.
Great to hear and appreciate the feedback. Make sure you like MyBookSucks on FaceBook (see link in video description). This will help others find the educational videos. Good luck in your studies too!
Could you please do a video on examples like this: The hypotheses H 0 : μ = 350 versus H a : μ < 350 are examined using a sample of size n = 16. The one-sample t statistic has the value t = -1.68. What do we know about the P-value of this test? Thanks!!
I am very confused and would really like some help. I see you referred to alpha and p value as the same, but my lecturer wants us, in conducting t tests to Reject Ho if p value is less than alpha. I would really appreciate some clarification. Also, when it is a 2 tailed test and no alpha is given, do I still use 5% level? Eg, in the regression output table, the t statistic for a variable is 1.6601. There are 7 variables(not including the constant) and 208 obs. So df=208-7-1=200.
Great Video...Help A few Questions. 1) what equation do you use to get -12.7 and 12.7 besides looking at the table? 2) When do we use t-distribution? 3) I understand for the part that if t is greater than or equal to 12.7, you would reject BUT if t is less than or equal to -12.7, why would you reject it?...shouldn't it be greater than or equal to -12.7, then u reject it...because if it's less than or equal to -12.7 (say -12.5 or -12), -12.5 or -12 is in the green area so then why would you reject it then?.... i hope you understand what i am trying to say. Please help..million thanks
I know this is really late, but to address your third question: I think you may have just got turned around with the numbers when thinking in the negative (-12.7). The example you gave you said "..because if it's less than or equal to -12.7 (say -12.5 or -12), -12.5 or -12.." but that statement itself is not correct. -12.5 is GREATER than -12.7, not less than. When dealing with negative numbers, the closer the number is to zero, the larger it is. Eg: -2 is less than -1, because -2 is further away from zero than -1 is. So anything less than -12.7 you reject (anything to the left of the green area), so -12.8, -12.9, -13, would all be rejected, because they are less than -12.7.
So do I just look for the p value in the ttable closest to 1.6601 under 5% alpha?I am getting the p value of 1.980. I used '120' and not infinity. In this case, the p value is MORE than alpha, so then I do NOT reject Ho? However, when I draw out the 2 tailed test, 1.980 falls within the 'rejection region'. It is more than 1.6601. This has me really confused. I would really appreciate your help.
and i hope you will not be discouraged by unnecessary comments because i have seen comments which are not related with the video means misunderstandings of what u say thanks
Hello my name is Luis A. Hernandez Roldan. I am a professor at the University of Puerto Rico. You have some statistics tutorial videos that I liked a lot. It is possible that could translate to Spanish to benefit my students? I would greatly appreciate if allowed to use as teaching material. Of course I will indicate the end of the video that you are the creator of the tutorial videos. In order to protect copyright
for a given sample mean and sample deviation, infinite number of populations can be associated with it, its impossible to predict population mean. i dont undestand this t distribution shit
Thank you thank you!! It's like you knew exactly what confuses me and made a targeted video. I love the way you explained it. Does anyone else find your voice incredibly soothing? I could listen to you for hours...
OMG you are a life saver! I am taking online stats for behavioral sciences in an 8 week course and I was lost. Things are starting to make sense now!!!you are amazing!
Awesome, after 3 years of using it this video finally explained to me what the "p" stands for in p-value :)
Happy to save your life :)! Make sure you subscribe to the channel statisticsfun. I do take requests, so if there is anything you need help with let me know (I am sure other students are having the same difficulty).
Make sure you like MyBookSucks on FaceBook (see link in video description). Good luck in your online stats class.
I cannot thank you enough. You've just saved me about 1/2 hour of falling asleep over my 500 page stats textbook... (am reviewing stats for work purposes)
You made all important points clear;;; Really hope others should learn from it as well--make sure to clear a problem as whole. Thanks Sir!!!!!
Remember the words of Betty Davis, "I drank too much Champagne, I drank too little, but I never drank enough."
Very good. Others were introducing the video with really technical explanations. How can we introduce a topic assuming that everyone knows. So I'm really grateful for this video👌❤
@Justinick2010 Thanks for your comment. Perhaps you figured it out, but I am a graduate of Texas A&M class of 83. Gig 'em Aggies!
You are welcome a ton as well. I hope you will take a minute and like mybooksucks on Facebook this will help others find the videos (you can help ease their pain). You can see the link to MyBookSucks FB page in the description of this video.
That is a good question and hard to answer. I noticed a lot explanations on the internet and in texts are not real enlightening.
The number of degrees of freedom (df) depends on how many variables (things you are trying to estimate). For example, with standard deviation there is only one variable being estimated (standard deviation), df = n-1 where n is the sample size.
As the sample size becomes large the degrees of freedom become irrelevant.
I do need to create a vid on this subject!
I do not speak English but I could understand very well, I congratulate you!
Are you doing a two tail test? If so you need to divide your significance by 2 (.10 divided by 2 is .05). Not sure about the 16. Because that is degrees of freedom. The degrees of freedom is equal the sample size of group 1 - 1 plus the sample size of group 2 - 1.
Simple, to-the-point, and very helpful! Thank you.
haha! Good to hear you did not have to wait until you were 21. Good luck with your classes too.
@starflicker79 Happy my vids help you. Hope you do well on your exam (do let me know how you do).
thank u for pointing out the reason for using t distribution instead of normal distribution: the population size is not large enough!! :D now it makes more sense to me
Always good to hear my videos are better than the classroom professor. Make sure you tell your classmates about the channel (ease their pain).
Make sure you like MyBookSucks on FaceBook (see link in video description). This will help others find the educational videos.
It is very clear! Thanks for posting and contributing to make a RUclips an education channel!
well explained, much better than my prof explanation. thank you so much
Thanks I will have to review that and make modifications when I redo the video.
The null hypothesis is that is no change. We reject the null hypothesis if the results fall within the green area and fail to reject it the results fall into green area.
this vid was very helpful im completing my HW......thanks!!!
Great video, thanks for making it easy (something my lecturer couldn't)
He should have been a comedian . Top tier humour
When you write a compound inequality for two non-contiguous areas, you should split the inequality into two statements:
z < -1.96 or z > 1.96 (read as "z is less than or equal to -1.96" or "z is greater than or equal to 1.96").
What you have written is incorrect because it implies that the negative value is greater than the positive value.
You are very welcome. Make sure you like MyBookSucks on FaceBook (see link in video description). This will help me spread the word about the free videos.
Ya know, you are right. Thanks for pointing this out. I will fix that when I revise the video.
Thanks for this great explanation. However, I want to mention that the title is slightly misleading as the video doesn´t really show how to calculate t distributions.
This explained it far my clearly then my prof did, Thank you.
Always wonderful to hear positive feedback.
Make sure you like MyBookSucks on FaceBook (see link in video description). This will help others find the educational videos.
at about 1:50 the greater than or equal to signs are the wrong way.
Thank you very much for these informative explanations!
@ 4:58 You said that 2.093 is close to 1.96 its close to 2.00 differance of this size translates to a very different value of area under the curve especially when doing hypothesis and multiplying by large numbers.
Thank you for this lesson !you're the best
Great to hear and appreciate the feedback.
Make sure you like MyBookSucks on FaceBook (see link in video description). This will help others find the educational videos.
Good luck in your studies too!
Thank yo so much. Where do the numbers in the t-dist. table come from?
Could you please do a video on examples like this: The hypotheses H 0 : μ = 350 versus H a : μ < 350 are examined using a sample of size n = 16. The one-sample t statistic has the value t = -1.68. What do we know about the P-value of this test?
Thanks!!
You are welcome! Yeah, statistics jokes are usually funniest to the person telling the joke.
Good luck in your studies.
No, explanation as to why you are using +- 12.7??
Actually there is explanation, if you keep watching.
I am very confused and would really like some help. I see you referred to alpha and p value as the same, but my lecturer wants us, in conducting t tests to Reject Ho if p value is less than alpha. I would really appreciate some clarification. Also, when it is a 2 tailed test and no alpha is given, do I still use 5% level? Eg, in the regression output table, the t statistic for a variable is 1.6601. There are 7 variables(not including the constant) and 208 obs. So df=208-7-1=200.
Great Video...Help A few Questions.
1) what equation do you use to get -12.7 and 12.7 besides looking at the table?
2) When do we use t-distribution?
3) I understand for the part that if t is greater than or equal to 12.7, you would reject BUT if t is less than or equal to -12.7, why would you reject it?...shouldn't it be greater than or equal to -12.7, then u reject it...because if it's less than or equal to -12.7 (say -12.5 or -12), -12.5 or -12 is in the green area so then why would you reject it then?.... i hope you understand what i am trying to say.
Please help..million thanks
when you see at 4:37, you will get your answer for the first question :)
britneydude ?!!!!!!!!!!!!!
I know this is really late, but to address your third question:
I think you may have just got turned around with the numbers when thinking in the negative (-12.7).
The example you gave you said "..because if it's less than or equal to -12.7 (say -12.5 or -12), -12.5 or -12.." but that statement itself is not correct.
-12.5 is GREATER than -12.7, not less than. When dealing with negative numbers, the closer the number is to zero, the larger it is. Eg: -2 is less than -1, because -2 is further away from zero than -1 is.
So anything less than -12.7 you reject (anything to the left of the green area), so -12.8, -12.9, -13, would all be rejected, because they are less than -12.7.
So do I just look for the p value in the ttable closest to 1.6601 under 5% alpha?I am getting the p value of 1.980. I used '120' and not infinity. In this case, the p value is MORE than alpha, so then I do NOT reject Ho? However, when I draw out the 2 tailed test, 1.980 falls within the 'rejection region'. It is more than 1.6601. This has me really confused. I would really appreciate your help.
Thank you so much! This was so helpful!
and i hope you will not be discouraged by unnecessary comments because i have seen comments which are not related
with the video means misunderstandings of what u say thanks
Unbelievable! That is all I can say. Thank you so much.
Hello my name is
Luis A. Hernandez Roldan. I am a professor at the University of Puerto Rico.
You have some statistics tutorial videos that I liked a lot. It is possible
that could translate to Spanish to benefit my students?
I would greatly appreciate if allowed to use as teaching material.
Of course I will indicate the end of the video that you are the creator of the
tutorial videos. In order to protect copyright
So I´m doing a t-test on a level of significance of 10%. Sample size is 20. Why is the answer key telling me to use t0.05(16) in the t-table?
at 1:20 shouldnt the alpha be 0.05?
What about a degree of freedom of 69? I have a homework problem with that and I can't seem to get it right.
sir do we need calculate degree of freedom in z test
why to calculate degree of freedom
Very helpful with a few jokes thrown in, thank u
@Tehmaxice he clearly says REJECT if
Great tutorial!
thanks alot ,,,,, great vedio , it helps me alot
GREAT INFO! thanks mr. stats fun
You saved my ass sir, thank you!
It's really great!Thanks for your lesson!^_^
Thank you very much! It
very nice indeed!
it is very helpful
thankx
thanks for clarifying video!
The t distribution is shorter and fatter than normal distribution... and it is probably self-conscience about it as well...
ur channel name is an oxymoron
It so hard how you explain
6 students got an F score
I hate to be a pain, thanks for the video but the way you wrote the inequality is wrong. You should write it as two separate inequalities.
Excellent!
for a given sample mean and sample deviation, infinite number of populations can be associated with it, its impossible to predict population mean. i dont undestand this t distribution shit
Thanks a lot
Thank you so much! :)
thank you!!!
Thanks!!!
Ah! Thanks. I like you too :)
@alaazahra i'm an engineering major and frat hard everyday ;) haters gonna hate
How do you calculate Tc/?? what the fuck is Tc?
Hilarious subtle genital reference! 2:20
Or it might be that the t distribution curve is self conscious about having a shorter and fatter body, you dirty minded imp
U funny!
thanks it is really helpful
Thank you!!