To answer everyone's question about the 1.96. If you go to a Z table and go to 1.96. The percentage is .975. Because the distribution graph is two tailed meaning there is a chunk of area filled in at BOTH ends of the bell curve we multiply the .025 difference by 2 to get 5% 100-5% is equal to 95%. Long Story short. The 1.96 is a z score for 95%
Thank you. Besides the teacher not explaining that this was a great tutorial. However missing that part in the explanation is big and WILL confuse people.
+Nour Alawad Yes, thats what it says in my textbook as well, but HOW exactly do you get 1.96. I just want to know so I can figure it out for other percentages
the 1.96 is the critical value of 95%. kind of like the 68-95-99.7 rule it goes if it was asking for say 90% this time it would be 1.645 90%-1.645 95%-1.960 99%-2.576 the percent is your confidence and the number following is the critical value or z* of your confidence. correct me or explain it better if I am wrong (I'm just learning this in my stats class) but thats to my best understanding!!!
+Donte Buchanan you are right but for those who can't understand or have problem in finding z score can just memorize these 3 intervals 90%,95% and 99% the exam problem will surely be based on these three intervals
Explanation behind 1.96: The z chart(google it if you dont know what it is) has 1.96= .975. In a bell curve graph, there are two areas that need to be accounted for. These areas are called the critical region. The critical region begins at a certain point on the graph where it would not agree with the 95% confidence level. Since the population or sample mean is ALWAYS labelled on a bell graph as 1, So you subtract 1-.975= 0.025. Since the bell graph displays the mean at the center of the graph(which is 1), its going to stem off into two different directions, and you are going to be left with two numbers that will be equal to or less than a percentage that would make the confidence interval less than 95%. So when you get 0.025, you multiply it by 2 to get 0.05 or 5%. The reason he didn't explain himself is because hes probably at a level in math where that number isnt explained anymore and is taken for granted. I am watching this video to try and understand stats a little better, so bear with me if I left out any information related to the discovery of 1.96.
Thanks for the video! Im struggling to find some videos like this because I cant follow what my teacher taught me. Happy to find your vid. Thanks! Edit: Oh my God! After watching this vid I try what you taught me and it work!!! Thank you so much! You save me for not having 0 on my test tomorrow! Thankssss!!!!
You sir are seriously a god. I happen to have a very good math teacher, but this shes terrible at explaining!!!! You have saved me so much time and effort
Thank you thank you! Very well explained. Thanks for teaching it at a novice level. I definitely don't want become a staticitican. Just want to comphrend it.
Question about 95 confidence interval formula? -20 to 0 °C = Accuracy 2.5 °C 0 to 500 °C =1.8 °C 500 to 1750 °C = Accuracy 1.4 °C According to what I read the uncertainty of the standard would be the resolution is true? If I have 3 readings taken with the standard: 1000, 1500 and 2000 degrees farenheit and the resolution of the standard is 1 °F What would be the steps to do the math calculation and get the uncertainty?
For those who are asking about the 1.96. To explain it as best I can, you need to draw a normal distribution curve. Now the area under that curve is 100% but here we have the confidence interval of 95%. 100-95 = 0.05 (take it in decimal form). Divide 0.05 by 2 to distribute it evenly on both result being 0.25. 0.5 - 0.025 =0.475. From your Table you will find that 0.475 = 1.96. Sorry if this explanation wasn't mathematical, i have a hard time with this subject as it is xD
In my stats manual = "Perhaps the most common mistake is:" A 95% CI has a 95% probability of holding the true but unknown population parameter of interest" The term "confidence" does not refer to a single confidence interval, but to all confidence intervals that can be constructed from the same population, using the same calculation procedure. If you would calculate a mean and 95% CI for each sample, then 95% of those CIs would contain the true but unknown population mean."
can you help with the following problem:Assume that the annual return (in %) of a certain asset is normally distributed, with a known standard deviation of 5.3%. When a sample of 15 such returns is collected the sample standard deviation is found to be 5.5% and the mean return was found to be 11.2%. Construct a 98% confidence interval for the mean annual return of the asset
I did not understand why we used standard deviation sigma instead of sample std dev s, did not we use the data from the sample? If anyone explains, life will be easier for me
@gadalaavinash The TI- Simulator is called WabbitEmu. Search WabbitEmu in google and you can find it. I use smart notebook for my recording. There is a built in feature called smart recorder. It is very easy to use. You can download a trial version. Search Smart Notebook download in google. I tried to post the links but it wouldn;t let me. Good luck.
Hi I don't understand how to find ic 95 in this kind of exercise. could you help me? In the article, the difference in 28-day mortality between the Lopinavir / Ritonavir group and the Standard Care group was -5.8%. Mortality was rated as similar in both groups. Among the following fictitious results, which one or which will lead us to conclude that the mortality between the two groups is similar? (The 95% confidence interval is given in square brackets) Result A: Mortality difference: -16% [ -30%; -2%] Result B: Mortality difference: -5.8% [-11%; -0.6%] Result C: Mortality difference: -2% [-17%; 13%] Result D: Mortality difference: -0.5% [-3%; 2%].
A random sample of 49 lunch customers was taken at a restaurant. The average amount of time the customers in the sample stayed in the restaurant was 45 minutes with a standard deviation of 14 minutes. 1. Construct a 90% confidence interval for the true average amount of time customers spent in the restaurant? 2. Construct a 99% confidence interval for the true average amount of time customers spent in the restaurant? 3. Dscuss why the answers in Parts (1) and (2) are different? 4. With a .95 probability, how large of a sample would have to be taken to provide a margin of error of 2.5 minutes or less? Entire solution
why do you use 1.96 if we know our degres of freedom? wouldnt we look that up and see that use like 2.004 since df is 49? this statistic shit is so all over the place
Online Books A Consumer Reports Research Center survey of 427 women showed that 29.0%of them purchase books online.a. Among the 427 women who were surveyed, what is the number of women who said that they purchase books online? b. Find a 95% confidence interval estimate of the percentage of all women who purchase books online. c. Can we safely conclude that less than 50% of all women purchase books online? Why or why not? d. Can we safely conclude that at least 25% of all women purchase books online? Why or why no e. What do the results tell us about the percentage of men who purchase books online?
I done this step and the second question for me is.. Find the probability that a titration has a value greater than 8.13ml. It was done 9 times, my final answer was (7.91,8.43), mean = 8.17ml and the standard deviation = 0.04ml. Can anyone help me? Thanks.
+menelick bowizzy 95% CI means we have to get 5% which is 0.05 and i know he just skipped the formula i can not write the same expressions on keyboard but you try to read it and formulate it:x bar + or - z(divide Remaining CI by 2) multiply by standard deviation/root of n. www.google.com.pk/imgres?imgurl=s-media-cache-ak0.pinimg.com/originals/a0/3c/65/a03c650ea3ae2f6ccccfba82ba6ef5bd.jpg&imgrefurl=www.pinterest.com/pin/454089574900344619/&h=120&w=289&tbnid=QEeNmR-JsllhDM:&docid=wFdujU3UfV6fUM&ei=fSSvVsqWL8GIaOehiOAN&tbm=isch&ved=0ahUKEwiKycC0n9bKAhVBBBoKHecQAtwQMwg0KAUwBQ By splitting 0.05 i.e 0.05/2=0.025 now you will have to either memorize it or try to find it by doing(1-0.025=0.975 now look it in the body/bottom of table the closest you get will be on the 1.96 intersection.
Thank you for this explanation. Its very helpfull, but can I ask a question? What extra information did you get from calculating the 95%CI - wasnt it obvious that from looking at the 57000 hours and a standard deviation of 1200 hours that the claim from the company was not supported?
But your supposed to use a T-Distribution. Due to the fact you don't have stigma. so your t is 2.010. Why did you use z? Since we can only use z when sigma is known.
help me please!!! A sample of 43 students from the agriculture faculty take a Scholastic Aptitude Test the sample has a mean of 520 and a standard deviation of 8. Construct a 95% confidence interval that contains the true population parameter.
Just one question. I get that you got the 1.96 from a confidence interval critical values part of a standard normal distribution table...95% is 1.96...however, I am trying to get to the critical value of 96%. How do I do that? An example that I am working from to learn this shows that the critical value of 96% is 2.05 but how is that figured out?
+Cheryl Garcia do 1-0.96 you will get 0.04 and then according to the formula you have to split this 0.04(0.04/2=0.02) now do 1-0.02 you will get 0.98 now look into the z table in the bottom search for the closest value to 0.98 or 98% and you will find 2.06 and follow the rest of steps :)
there is a simpler way to do this I think. First you need to find the SEaverage. SEaverage = StDv divided by the square root of the number of draws StDv = 1200 Number of draws = 50 sooo...The 95% C.I = 57,000 (+-) 340....which is (56660,57340) :) this is a rough estimate..
with excel, 1.96 is gotten by 95%=0.95; Now taking one halve of the standard table :) ,we have 0.95/2=0.475; and 0.5-0.475=0.025; finally, -1.96=NORM.S.INV(0.025)
![Confidence Interval [Simply explained]](http://i.ytimg.com/vi/ENnlSlvQHO0/mqdefault.jpg)
You explained in 9 minutes what my professor attempted to explain in 50. Thanks for the video, very helpful.
same! thank you SO MUCH
Hope your prof doesn't see your comment 😂😂
@@hummttydoo6053 been 5 years they don't care anymore XD
To answer everyone's question about the 1.96. If you go to a Z table and go to 1.96. The percentage is .975. Because the distribution graph is two tailed meaning there is a chunk of area filled in at BOTH ends of the bell curve we multiply the .025 difference by 2 to get 5% 100-5% is equal to 95%.
Long Story short. The 1.96 is a z score for 95%
Thank you. Besides the teacher not explaining that this was a great tutorial. However missing that part in the explanation is big and WILL confuse people.
how do you know that 95% is 1.96? is there a rule or something telling us that 95%=1.96 on the CI?
Ryan Butuyan
You have to check the z table!
seriously thank you
Thanks lad!
I think you just saved my life. I have a stats exam tomorrow and this is exactly the kind of explanation i needed! Thank you!!
how to find 1.96 in table??
***** Thanks to you. I passed this subject in my university.
+Nour Alawad Yes, thats what it says in my textbook as well, but HOW exactly do you get 1.96. I just want to know so I can figure it out for other percentages
+Shane Thompson There is a chart, usually. If not you can look one up.
Thank you for posting this! It's helping me study for my stats test better than my notes or textbook can.
the 1.96 is the critical value of 95%.
kind of like the 68-95-99.7 rule it goes
if it was asking for say 90% this time it would be 1.645
90%-1.645
95%-1.960
99%-2.576
the percent is your confidence and the number following is the critical value or z* of your confidence.
correct me or explain it better if I am wrong (I'm just learning this in my stats class) but thats to my best understanding!!!
+Donte Buchanan you are right but for those who can't understand or have problem in finding z score can just memorize these 3 intervals 90%,95% and 99% the exam problem will surely be based on these three intervals
+Jaffer Zaidi Hi Can you please tell what's up with 90 % and 99 % ?How do we calculate this one?
After so many other TH-cam videos, I finally understood it because of the way you explained it with no difficulties. Thank you!!
Explanation behind 1.96:
The z chart(google it if you dont know what it is) has 1.96= .975. In a bell curve graph, there are two areas that need to be accounted for.
These areas are called the critical region. The critical region begins at a certain point on the graph where it would not agree with the 95% confidence level.
Since the population or sample mean is ALWAYS labelled on a bell graph as 1, So you subtract 1-.975= 0.025.
Since the bell graph displays the mean at the center of the graph(which is 1), its going to stem off into two different directions, and you are going to be left with two numbers that will be equal to or less than a percentage that would make the confidence interval less than 95%. So when you get 0.025, you multiply it by 2 to get 0.05 or 5%.
The reason he didn't explain himself is because hes probably at a level in math where that number isnt explained anymore and is taken for granted. I am watching this video to try and understand stats a little better, so bear with me if I left out any information related to the discovery of 1.96.
Thanks for the video! Im struggling to find some videos like this because I cant follow what my teacher taught me. Happy to find your vid. Thanks!
Edit: Oh my God! After watching this vid I try what you taught me and it work!!! Thank you so much! You save me for not having 0 on my test tomorrow! Thankssss!!!!
You sir are seriously a god. I happen to have a very good math teacher, but this shes terrible at explaining!!!! You have saved me so much time and effort
idk weirdchic Glad I could help!
***** how did you get 1.96?
this is ten years old to the day but was exactly what i needed. thank you
You've given me Hope that I didn't have! Thank you so much🎊🎊🎉
youtube tutors are so helpful. When I was doing my undergrad I spent hours and was clueless, now I take 5-10min and understand perfectly
you my friend get a thumbs up, i kept getting lost on the math break down you made it nice and simple!
This steps are one of the longest step in finding the confidence interval. Simply use the formula, finding the z value i.e 1.96 . x-E
This was so helpful and easily explained! Thank you!
This video is great, what a simple explanation all in under 9 minutes! Fantastic Thank you!
Thank you thank you! Very well explained. Thanks for teaching it at a novice level. I definitely don't want become a staticitican. Just want to comphrend it.
+Desmona Strahan Thanks! Keep working hard!
Babae
Thank you! Clear and concise
@iVerbalMurder 95% of the area under the normal curve lies within about 1.96 standard deviations of the mean.
Question about 95 confidence interval formula?
-20 to 0 °C
= Accuracy 2.5 °C
0 to 500 °C
=1.8 °C
500 to 1750 °C
= Accuracy 1.4 °C
According to what I read the uncertainty of the standard would be the resolution is true? If I have 3 readings taken with the standard: 1000, 1500 and 2000 degrees farenheit and the resolution of the standard is 1 °F What would be the steps to do the math calculation and get the uncertainty?
if the sample size is less than 30, you can use a t-table to approximate the CI
thank you, this saved my life for my math final!
+McKenzy Johnson awesome! Good luck :-)
For those who are asking about the 1.96. To explain it as best I can, you need to draw a normal distribution curve. Now the area under that curve is 100% but here we have the confidence interval of 95%. 100-95 = 0.05 (take it in decimal form). Divide 0.05 by 2 to distribute it evenly on both result being 0.25. 0.5 - 0.025 =0.475. From your Table you will find that 0.475 = 1.96. Sorry if this explanation wasn't mathematical, i have a hard time with this subject as it is xD
In my stats manual = "Perhaps the most common mistake is:" A 95% CI has a 95% probability of holding the true but unknown population parameter of interest" The term "confidence" does not refer to a single confidence interval, but to all confidence intervals that can be constructed from the same population, using the same calculation procedure. If you would calculate a mean and 95% CI for each sample, then 95% of those CIs would contain the true but unknown population mean."
Thanks for showing me the simple step I missed!
helping me in 2018! thanks mr. barnes! ur funny and super informative! im gonna ace my exam!!!
Thumbs up for you buddy
You work hard with mouse 😅
But it worth a lot for us
Thanks man
Keep it up
Well, this was super helpful. Looks like I'm not failing my statistics test.
You are welcome!
can you help with the following problem:Assume that the annual return (in %) of a certain asset is normally distributed, with a known standard deviation of 5.3%. When a sample of 15 such returns is collected the sample standard deviation is found to be 5.5% and the mean return was found to be 11.2%. Construct a 98% confidence interval for the mean annual return of the asset
That recording popout is covering some numbers, it gets kind of frustrating, but you explained it okay enough for me to get the gist of it.
Thanks so much! Really appreciate this video
+davia1013able thanks for watching! Best of luck in your studies!
That was cool,do another one
I did not understand why we used standard deviation sigma instead of sample std dev s, did not we use the data from the sample? If anyone explains, life will be easier for me
@gadalaavinash The TI- Simulator is called WabbitEmu. Search WabbitEmu in google and you can find it. I use smart notebook for my recording. There is a built in feature called smart recorder. It is very easy to use. You can download a trial version. Search Smart Notebook download in google. I tried to post the links but it wouldn;t let me. Good luck.
Mr. Burns? .... Excellent...
Hi I don't understand how to find ic 95 in this kind of exercise. could you help me?
In the article, the difference in 28-day mortality between the Lopinavir / Ritonavir group and the Standard Care group was -5.8%. Mortality was rated as similar in both groups. Among the following fictitious results, which one or which will lead us to conclude that the mortality between the two groups is similar? (The 95% confidence interval is given in square brackets) Result A:
Mortality difference: -16% [ -30%; -2%]
Result B:
Mortality difference: -5.8% [-11%; -0.6%]
Result C: Mortality difference:
-2% [-17%; 13%]
Result D: Mortality difference: -0.5% [-3%; 2%].
learnt something after 3months of just going to class and having no idea what was happening
how we can find the number of measurement in any given class interval at95%
dude the virtual ti83 is sick. can you teach me how to do that?
Thanks for the video ... very helpful. But bruh ... the way you was saying X bar had me dyyyyinggggg lmaoooo
Thanks. This was a big help!
isnt it necessary to know whether the distribution is one tailed or two tailed?
where does 1.96 come from?
A random sample of 49 lunch customers was taken at a restaurant. The average amount of time the customers in the sample stayed in the restaurant was 45 minutes with a standard deviation of 14 minutes. 1. Construct a 90% confidence interval for the true average amount of time customers spent in the restaurant? 2. Construct a 99% confidence interval for the true average amount of time customers spent in the restaurant? 3. Dscuss why the answers in Parts (1) and (2) are different? 4. With a .95 probability, how large of a sample would have to be taken to provide a margin of error of 2.5 minutes or less? Entire solution
why do you use 1.96 if we know our degres of freedom? wouldnt we look that up and see that use like 2.004 since df is 49? this statistic shit is so all over the place
cant agree more
Thank you for this useful explanation...
Online Books A Consumer Reports Research Center survey of 427 women showed that 29.0%of them purchase books online.a. Among the 427 women who were surveyed, what is the number of women who said that they purchase books online?
b. Find a 95% confidence interval estimate of the percentage of all women who purchase books online.
c. Can we safely conclude that less than 50% of all women purchase books online? Why or why not?
d. Can we safely conclude that at least 25% of all women purchase books online? Why or why no
e. What do the results tell us about the percentage of men who purchase books online?
actually...how to use z table?
Loud and clear.Thank you.
Where did the 1.96 come from?
Thank you for this tutorial. I was struggling with this until I found your page.
Zeely Stewart 至太克里特島國際小姐持負面
good video. Explained way better than Khan academy
Honestly it's a breath of fresh air. All these videos explaining this in so much complexity and you just did it and I completely understand it now.
+benukysz Thanks!
What to do if a question ask 90 % C I or 95 % C I , please help , thank you !
I done this step and the second question for me is..
Find the probability that a titration has a value greater than 8.13ml.
It was done 9 times, my final answer was (7.91,8.43), mean = 8.17ml and the standard deviation = 0.04ml. Can anyone help me? Thanks.
I wonder where he got the 1.96 at the 2:25 minute
+menelick bowizzy 95% CI means we have to get 5% which is 0.05 and i know he just skipped the formula i can not write the same expressions on keyboard but you try to read it and formulate it:x bar + or - z(divide Remaining CI by 2) multiply by standard deviation/root of n.
www.google.com.pk/imgres?imgurl=s-media-cache-ak0.pinimg.com/originals/a0/3c/65/a03c650ea3ae2f6ccccfba82ba6ef5bd.jpg&imgrefurl=www.pinterest.com/pin/454089574900344619/&h=120&w=289&tbnid=QEeNmR-JsllhDM:&docid=wFdujU3UfV6fUM&ei=fSSvVsqWL8GIaOehiOAN&tbm=isch&ved=0ahUKEwiKycC0n9bKAhVBBBoKHecQAtwQMwg0KAUwBQ
By splitting 0.05 i.e 0.05/2=0.025 now you will have to either memorize it or try to find it by doing(1-0.025=0.975 now look it in the body/bottom of table the closest you get will be on the 1.96 intersection.
menelick bowizzy z table
Shouldn't the mean be both plus and minus the same value? Why do we have 330 and 333, shouldn't they be both the same as we used the same formula?
If you waited 10 seconds he fixes that mistake. it was a typo. He said he was tired lol.
i don't understand why sometimes n is replaced by n-1, it has something to do with the degrees of freedom but when do you have to do that?
Sir,
Where does the 1.96 came from?
For the confidence level is it not N-1?
Thank you for this explanation. Its very helpfull, but can I ask a question? What extra information did you get from calculating the 95%CI - wasnt it obvious that from looking at the 57000 hours and a standard deviation of 1200 hours that the claim from the company was not supported?
how do u calculate confidence interval for a batch of means
This is a great help
Mr. Burn?..... excellent
I still don't understand how to work out the Ta/2 formula?
This is very Helpful
Thanks sir, you save my life :D
I don’t get the moe 355, how did he get that?
where did you get 1.96?
%95 Confidence Interval is 1.96;
%90 Confidence Interval is 1.645;
%99 Confidence Interval is 2.575;
Google z table. if doing 2 tail use alpha/2, if doing 1 tail use alpha.
do the numbers are fix?
@@saifullahsulaiman3482 yes
Why is the MOE 333 and 330?
Please please can you make a quick video to find the z score of 98% significance level. It will be much appreciated.
thank you thank you thank you mr barnes, I understand now
How to you use the ti 30Xa calculator
Not sure...never used one! Can anyone help?
How did you find the value of t?
It's not that you are 95% confident. You are 100% confident that in 95% of cases the mean will fall within the interval...
Sara Bovo incorrect, it's bad stats practice to ever say that you're 100% confident on anything
yikes
how did you get 1.96?
Is a 99% confidence level a more rigorous estimate of where a parameter is, than a 95%confidence level? Explain
cheers man really helped
Nice video.
why do you use z table when you are given SAMPLE standard deviation! Is it supposed to be a t table?
Can anyone help?
mathwithmrbarnes Actually, it is my bad. your sample size is large enough. so you can use z score instead
Thank you so much!
+Josiah Nelson Thanks
but what i see from t-table is from n=40 skipped to n=60 without showing n=40
Confidence level of .95/2 = .4750 the corresponding z value is 1.96
you are so smart.... everyone else is commenting utter bs. *high five*
thank u bro
Thanks . You read my mind
Where is the 1.96 coming from
You're my hero
But your supposed to use a T-Distribution. Due to the fact you don't have stigma. so your t is 2.010. Why did you use z? Since we can only use z when sigma is known.
How you bring 1.96
Sample size NEEDS to be greater than 30?
For this formula..yes!
how did you get 333?
help me please!!!
A sample of 43 students from the agriculture faculty take a Scholastic Aptitude Test the sample has a mean of 520 and a standard deviation of 8. Construct a 95% confidence interval that contains the true population parameter.
wwwoooo!!
thnqq soo much..Finally i understand this :)
thank you so much now I know the correct answer to the question I got wrong in my quiz
Just one question. I get that you got the 1.96 from a confidence interval critical values part of a standard normal distribution table...95% is 1.96...however, I am trying to get to the critical value of 96%. How do I do that? An example that I am working from to learn this shows that the critical value of 96% is 2.05 but how is that figured out?
+Cheryl Garcia do 1-0.96 you will get 0.04 and then according to the formula you have to split this 0.04(0.04/2=0.02) now do 1-0.02 you will get 0.98 now look into the z table in the bottom search for the closest value to 0.98 or 98% and you will find 2.06 and follow the rest of steps :)
why do you do 1-0.96 ? and do you always have to do it ?
there is a simpler way to do this I think. First you need to find the SEaverage. SEaverage = StDv divided by the square root of the number of draws
StDv = 1200
Number of draws = 50
sooo...The 95% C.I = 57,000 (+-) 340....which is (56660,57340) :) this is a rough estimate..
with excel, 1.96 is gotten by 95%=0.95;
Now taking one halve of the standard table :) ,we have
0.95/2=0.475; and
0.5-0.475=0.025; finally,
-1.96=NORM.S.INV(0.025)
Thank you sir!!!
thank you sooo much!!!!
how did you get 1.96? Help please
Well explained
hello, can you please help me, i can't find the 0.475 in my table :( please help i got exams in some days.
i am still confused on how u got 1.96, is there a way you can show how exactly like a calculation
It’s a constant