10 Years in and you've helped me understand the process better than my professor using the SAME slides! Thank you for breaking this down for non-statisticians!
One of the most thoroughly and well explained videos I have come across. The constant use of different examples really helped make things clear. Thank you for this
I am doing Math Higher Level in IB, and I am doing it online (there is no teacher in my school who can teach math) And if it wasn't for this video, I dn't know if I would ever understand the topics I have to study. Alone. Thank you!
excellent video n explanation. just started my certification course in buisness analytics using sas . so had to study these concepts again after almost 14 years . very well explained . keep it up sir
I really appreciated how precisely, clearly, honestly you explained Binomial Distribution and poisson distribution. Indeed you are a good teacher. I really like to get the whole lessons of Statistics. But how, Dr? And thank you very much indeed.
I salute you sir, fantastic video! Doing probability and statistics this year so I really need videos like these with worked examples. Thank you for sharing your knowledge, South Africa sends its gratitude.
OMG! Thank you so much. I'm taking statistics online and my professor does not explain as well as you. It's 2:52 am. I was crying because I didn't understand the binomial distribution and tomorrow I have a quiz. Now, I'm ready to pass the quiz. Thank you sooooo much😘❤
Excellent explanation Dr Craig McBride. Can you host more sessions like these and explain all the Random Variable led Distribution. Would be great if you can solve some of the questions of Prof Ross' book on Probability...
I'm struggling with a particular question..That being; average BOD content being 2.25mg/litre. If a 5 litre sample of water is taken, what is the probability of finding BOD contents of;1mgless then 3mgmore than 6mgAt least 2mg BOD is measured if only 1.5 litre of water is sampledDo I do 2.25 x 5 to get the total average? Or do I just use 2.25 as my lambda?
@@DrCraigMcBridePhD if this is so , provided 530 hurricanes over 100 years time period, so how is this possible that there is no upper limit of occurrence in a single a year because total has to be 530. And also 530 hurricanes are distributed over 100 years, so it should be done uniformly right? Please make it clear sir! I am bit confused ! Thanks in advance
@@sayanjitb 530 over 100 years are the numbers that were OBSERVED in the PAST. We use data from the past to allow us to make educated GUESSES at what MIGHT happen in the future. SO, we had an average of 5.3 per year, but that doesn't mean there was an equal spread. There is no max. You could have 100 in a year or you could end up having 500 in one year! Those likelihoods are VERY small, but there is no max with probability distributions. Unless you are told that a distribution has a uniform spread, there is nothing that forces it to be so.
I have several videos on both of those topics. Just search for "chi" and the t-test videos are all titled by the type of test IE: two dependent means etc. Here is a link to a spreadsheet list of all of my current videos to help you find what you want. docs.google.com/spreadsheet/ccc?key=0ArSlKTsH9KkCdGxnRVpaMFJBUWNjZ0QzNzdwd1gyLWc&usp=sharing
the 10 comes from the combination at the front (the thing with exclamation points). 5! means 5*4*3*2*1 and 2! = 2*1 etc. If you work out 5!/(2!*3!) you get 10, which equals the number of ways you can rearrange 3 successes and 2 failures where you can't tell the difference between two failures or two successes (IE: the results are not distinguishable except for failure versus success)
when you did the minimum and maximum values for a 95% confidence interval, how come u used the standard deviation instead of the standard error? shouldn't it be 11.4 +/- 1.96 (standard error), where standard error =standard deviation ÷ √n
Great question! That is because we were using the RANGE RULE OF THUMB for that example. We know that from the EMPIRICAL RULE that roughly 95% of the data lies within TWO SD's of the mean, so if we do +- 2SD from the mean, we get roughly a 95% CI. If we were to COMPUTE a PRECISE value, then YES we would in fact use the SE as you mention. The RROT is really just a close approximation to use if you didn't have technology or a way to compute the actual CI.
Prof. if you please extend it (Binomial distribution) little further with few more examples. I have a scenario. If you please make a video on it. I shall be truly grateful for that. I know the basic concepts. So, you are kindly requested to help me finding answers. Scenario: It is reported that 16 percent of UK's households holds Credit Card. In a sample of eight households, find the probability that:a. None holds Credit Card. b. At-least one holds Credit Card c. At-least five holds Credit Card
go to: vassarstats.net and click on probabilities and then binomial. Enter in n=8, k=0(then1 and 5) and p = .16 and Calculate. For the At least 5, look down and when k=5 it shows that k or more = 0.006515963616 You can also get these numbers out of TI-83/84 calculator using the binomcdf function
In a binomial experiment with n=300 p=0.5 Find p>0.6 I cannot seem to find the answer will you please assist me? If I say 1-px=0.0and 0.1 and 0.2,and 0,4 and 0,5, and 0.6 then it should give me the answer but I get an error when I put it in my calculator I assume it is because they are asking for p> a fraction instead of a numerical number such as 1, 2. 3 exc, If there is someone in chat or UA-camr that'll be able to help me I would greatly appreciate it
You can't find the probability of a decimal with a binomial. You can only find probabilities related to whole numbers, so either it is a misprint, or you are misunderstanding the question. You could find P(X>6) given n=300 and p = 0.5 but your question does not fit a binomial.
.85 is the 85% probability that an adult knows Twitter given in the question. Since we are testing for exactly 3 adults knowing Twitter, our probability of a success "p" is 0.85
DO you mean 0.15? Because I don't think there is a 1.5 anywhere in this video. 0.15 is the probability of a failure because we are given P(success) = 0.85 and thus the compliment is 0.15
Seven years on and this video is still helping students. Thank you very much.
Strangely, it is my most popular video by far!
You are very very good teacher. Very clear and easy to understand. Thanks, sir.
+Emily Conley You are a very very kind student -thank you for the nice words! I am glad I could help!
10 Years in and you've helped me understand the process better than my professor using the SAME slides! Thank you for breaking this down for non-statisticians!
Thanks for the kind words! Glad I could help.
One of the most thoroughly and well explained videos I have come across. The constant use of different examples really helped make things clear. Thank you for this
You are VERY welcome! Thank you for the kind words.
Easily the best explanation on youtube!!
I am doing Math Higher Level in IB, and I am doing it online (there is no teacher in my school who can teach math)
And if it wasn't for this video, I dn't know if I would ever understand the topics I have to study. Alone.
Thank you!
Soooooo much clearer and simpler than most videos out on UA-cam. I was using poisson tables because I didn't realize how easy the formula was.
Thanks! Glad I could help.
Very easy to understand❤i've watched some videos but you're the most straight to the point❤ thank you teacher
Thank you for the kind words - glad I could help!
Thanks so much Sir am having Stats exam and didn't understand the concept. You explained this well; you are a great Lecturer.
excellent video n explanation. just started my certification course in buisness analytics using sas . so had to study these concepts again after almost 14 years . very well explained . keep it up sir
Osm video.. now it's easy to solve binomial .. prblms
Thank You Dr. Craig for this vedio. You simply explain probabilities which are hard concepts for many students in simple way.
My God, such a clear explanation. Thank you sir.
Wow!!! You are an excellent teacher. I had a problem understanding these distributions but now with your explanation I clearly get it. Thank you!!!
Thanks, Jazmin! Always appreciate the positive feedback. Glad I could help!
You sir, are awesome!! Thank you and greetings from Mexico, you make it SO easy to understand!
Thanks! I always appreciate the kind words.
This video so helpful and is permanently changing students lifestyle in academic achievement thanks.
You have explained this concept the best! Thank you SOOO MUCH DR!!!!!
Perfect
now i can say that i will pass tomorrow's exam
Thank you dr
well done
Thank you, Thank you, Thank you. I now feel comfortable enough to take my test on Wednesday! You are truly amazing.
WOW! Thank you so much for the kind words!
Very Neat Explanation. Thanks a lot Sir.
online learning is often an oxymoron! I am glad my videos help!
DrCraigMcBridePhD thank you for the videos
Thank you very much doc, you saved me $3000
You explained perfectly in 27 minutes what my PhD instructor over-complicated for about 2 weeks.
thank you!!!
it's really dose thanx a lot sir , you're a amazing
The best explanation ever on this topic,very genius teacher
Hye Daniel, I have just made a video about Binomial Distributions. Hope its helpful as well.
Gotta say thanks for the added formula at the end i needed that and the binomial and i was so happy to see your video also had that little gem.
wow ! best explanation I've seen. Shows that you know and understand the work well enough to delegate to others , thank you
I really appreciated how precisely, clearly, honestly you explained Binomial Distribution and poisson distribution. Indeed you are a good teacher. I really like to get the whole lessons of Statistics. But how, Dr? And thank you very much indeed.
Abdulkadir Abukar Ibrahim if you are asking for more lessons, just go to my UA-cam channel and choose the statistics playlist
sorry for late answer, thank you dear teacher
I salute you sir, fantastic video! Doing probability and statistics this year so I really need videos like these with worked examples. Thank you for sharing your knowledge, South Africa sends its gratitude.
Thanks for the love - I am happy to help.
when Chris Pratt teaches me statistics :D
Thanks for posting this video, its the first time i actually understand how to do these type of questions
OMG! Thank you so much. I'm taking statistics online and my professor does not explain as well as you. It's 2:52 am. I was crying because I didn't understand the binomial distribution and tomorrow I have a quiz. Now, I'm ready to pass the quiz. Thank you sooooo much😘❤
Thank you for the kind words and good luck on your quiz!
Great explanation making it easy to understand
Thank you so much. The best explanation until now.
Thank you so much 🥰 you have analyse everything,
Happy to help!
Very insightful.Thank you very much.
Honestly wished I saw this video all this week. Tomorrow is my exam. This clears up a lot of my questions.
Glad it helped!
@@DrCraigMcBridePhD BTW passed my Exams.. 98 . ! Thanks 👍
@@jillianbrabham5384 Nice job!
I love the part where you break down the formula to "combination" and "multiplying the probabilities of the trials"
+Uncharted Thanks! Although there is always technology to do the calculations for you, I think it is worth it to understand HOW the formulas work.
Thank you very much Dr! Helped me to clear many doubts :)
thank you for saving my GPA
good stuff. down to earth examples.
God Bless you! This has been extremely helpful! Thank you so much!
Always happy to help!
Thank you! You are an angel.
You are a wonderful teacher. ❤
Thank you!
Thank you so much for explaining, you have broke my confusion of p^(x) * q^(n-x) :D
Glad I could help!
Sir thank you so much your simple explanation .
What an excellent example
Excellent explanation Dr Craig McBride. Can you host more sessions like these and explain all the Random Variable led Distribution. Would be great if you can solve some of the questions of Prof Ross' book on Probability...
I do have discussions on the normal distribution as well as several example problems worked out - check out my statistics playlist.
I'm struggling with a particular question..That being; average BOD content being 2.25mg/litre. If a 5 litre sample of water is taken, what is the probability of finding BOD contents of;1mgless then 3mgmore than 6mgAt least 2mg BOD is measured if only 1.5 litre of water is sampledDo I do 2.25 x 5 to get the total average? Or do I just use 2.25 as my lambda?
good lecture sir you decreases my learning time
Fantastic presentation. I wish my professor could articulate the material this well.
Thanks for the kind words! I'm glad I could help.
DrCraigMcBridePhD aq
@@DrCraigMcBridePhD Sir we need your help....Please carry on..and provide more and more video...
@@shuhaidakhan4756 Thank you for the kind words! I will continue to make videos as long as I can!
Very Good teacher, thanks
Thanks! Happy to help.
Thank you so much. You made me laugh when you told us that having cancer is not is succes ;-p. Greetings from the Netherlands
You are a great teacher, thank you so much.
Thank you for the compliment!
Thanks for the kind words!
this was great help, thank you.
u r talented man thx so much
Thanx for the kind words!
so in the last hurricane example maximum possibility of hurricane occurrence is 5.3 per year right?
Sorry, no. 5.3 is the EXPECTED value or the AVERAGE number of hurricanes over the last 100 years. There is no MAXIMUM possible number.
@@DrCraigMcBridePhD if this is so , provided 530 hurricanes over 100 years time period, so how is this possible that there is no upper limit of occurrence in a single a year because total has to be 530. And also 530 hurricanes are distributed over 100 years, so it should be done uniformly right?
Please make it clear sir! I am bit confused ! Thanks in advance
@@sayanjitb 530 over 100 years are the numbers that were OBSERVED in the PAST. We use data from the past to allow us to make educated GUESSES at what MIGHT happen in the future. SO, we had an average of 5.3 per year, but that doesn't mean there was an equal spread. There is no max. You could have 100 in a year or you could end up having 500 in one year! Those likelihoods are VERY small, but there is no max with probability distributions. Unless you are told that a distribution has a uniform spread, there is nothing that forces it to be so.
Thank you very much finally l got a breakthrough in binomial
Glad it helped!
U are freakin AWESOME! Taking masters level statistics for managers. I graduated undergrad in 1984!! Thank you for the help. Very well explained.
awesome clarity. thank you.
Thank you so much for sharing this video. So helpful
Happy to help!
I love u Dr. Craig 😅
wow tht`s wonderful, thank you sir its really really help me.
Glad I could help!
Thanks Dr. Your video is very nice
+Ahmed Albadwi Thanks for the kind words, Ahmed! I am glad you like it.
Excellent video. Thank you so much.
Wubalem Jones happy to help!😊
Bonjour, parmi les vastes possibilités des statistiques, quelle formule concerne les jeux de hasard comme le loto. Merci
Great Video. Thank you
glad you like it!
Great explanations sir. I wish my professor was as good as you😂
Thank you so much for the kind words! I'm glad I could help.
thank you so much sir...u saved me🤗🤗
Thank you very much for the video. Could you please do some video on normal chi square and t distribution as well pl.
I have several videos on both of those topics. Just search for "chi" and the t-test videos are all titled by the type of test IE: two dependent means etc. Here is a link to a spreadsheet list of all of my current videos to help you find what you want.
docs.google.com/spreadsheet/ccc?key=0ArSlKTsH9KkCdGxnRVpaMFJBUWNjZ0QzNzdwd1gyLWc&usp=sharing
Nice illustration. Thanks.
Thanks alotttt sir, you saved my 6 hours :*,
Glad to help!
Hey, I actually understand it now! Thanks!
You are VERY welcome
Thank you sir
U are fantastic
Thank you for the kind words!
can we have slides used in this video ?
Could you solve this problem,
In tossing 10 coins, what's the probability that a 3rd head will appear on the 10th toss?
Thanks.
Use the binomial with 9 choose 2 for the first two heads, then multiply that by 1/2 for the probability of the third one in the tenth spot.
great explanation. Thank you!
Thanks a lot sir! Good day
thank u Dr!
hye Deressa, I have just made a video about Binomial Distributions. Hope its helpful as well.
Thanks a bunch for your great help.
for 16:50 how did u get 10 ? TnT
the 10 comes from the combination at the front (the thing with exclamation points). 5! means 5*4*3*2*1 and 2! = 2*1 etc. If you work out 5!/(2!*3!) you get 10, which equals the number of ways you can rearrange 3 successes and 2 failures where you can't tell the difference between two failures or two successes (IE: the results are not distinguishable except for failure versus success)
@@DrCraigMcBridePhD omg I get it THANK YOUUU BLESS YOU
when you did the minimum and maximum values for a 95% confidence interval, how come u used the standard deviation instead of the standard error?
shouldn't it be
11.4 +/- 1.96 (standard error), where standard error =standard deviation ÷ √n
Great question! That is because we were using the RANGE RULE OF THUMB for that example. We know that from the EMPIRICAL RULE that roughly 95% of the data lies within TWO SD's of the mean, so if we do +- 2SD from the mean, we get roughly a 95% CI. If we were to COMPUTE a PRECISE value, then YES we would in fact use the SE as you mention. The RROT is really just a close approximation to use if you didn't have technology or a way to compute the actual CI.
Great video, thanks!
Thank you sir have my Paper 2 tomorrow morning :( :D
Prof. if you please extend it (Binomial distribution) little further with few more examples. I have a scenario. If you please make a video on it. I shall be truly grateful for that. I know the basic concepts. So, you are kindly requested to help me finding answers.
Scenario:
It is reported that 16 percent of UK's households holds Credit Card. In a sample of eight households, find the probability that:a. None holds Credit Card.
b. At-least one holds Credit Card
c. At-least five holds Credit Card
go to: vassarstats.net and click on probabilities and then binomial. Enter in n=8, k=0(then1 and 5) and p = .16 and Calculate. For the At least 5, look down and when k=5 it shows that k or more = 0.006515963616
You can also get these numbers out of TI-83/84 calculator using the binomcdf function
Thank you so very much. Appreciate it. Stay blessed.
DrCraigMcBridePhD
fuck me i have a stats final tomorrow and need to relearn regression, probabilities, confidence intervals, and hypothesis tests AHHHHH
Thanks for information from TURKEY .
Your Welcome!
thank you very much you are awesome
In a binomial experiment with n=300 p=0.5 Find p>0.6
I cannot seem to find the answer will you please assist me? If I say 1-px=0.0and 0.1 and 0.2,and 0,4 and 0,5, and 0.6 then it should give me the answer but I get an error when I put it in my calculator I assume it is because they are asking for p> a fraction instead of a numerical number such as 1, 2. 3 exc,
If there is someone in chat or UA-camr that'll be able to help me I would greatly appreciate it
You can't find the probability of a decimal with a binomial. You can only find probabilities related to whole numbers, so either it is a misprint, or you are misunderstanding the question. You could find P(X>6) given n=300 and p = 0.5 but your question does not fit a binomial.
@@DrCraigMcBridePhD Thanks a lot! Will inform my stats proffesor cause its a question in one of my tutorials
@@DrCraigMcBridePhD According to the question it says I should use binomial. If I do no use binomial how do one find P(X>6) given n=300 and p = 0.5 ?
@@DrCraigMcBridePhD I got the formula now for getting the answer without using binomial thank you for your help
THANK YOU!
would you please kindly do some videos of notmal distribution
I have - search my stats playlist!
How do i get probability of Zero plus probability of one? i'm confused on that please help
I'm not sure what you mean. Probability of zero just means it can't happen and probability of 1 just means it is guaranteed to happen.
Please explain how you get to 10
Where did that 0.5 come from
time code?
really helped me!
Thanks! Glad to help.
where did .85 come from ?
.85 is the 85% probability that an adult knows Twitter given in the question. Since we are testing for exactly 3 adults knowing Twitter, our probability of a success "p" is 0.85
Technology looks like have saved ur ass before. Thanks anyways!!
hye Vishaal, I have just made a video about Binomial Distributions. Hope its helpful as well.
@@ishamathstea9019 oh heyy thank you so much!
@@vishaaltaratia3941 most welcome..... 💓💓💓
How did u get 1.5
DO you mean 0.15? Because I don't think there is a 1.5 anywhere in this video. 0.15 is the probability of a failure because we are given P(success) = 0.85 and thus the compliment is 0.15
❤❤❤
thank you for your video Mr. craig
Thank you so much
How do yoh get to 10 please explain😊
Thank you
Thaank youu, it helped a lot!
Happy to help!