Crash course should have the math written down or drawn out instead of just telling us the process of the math. It's hard for me to imagine the math in my head. The graphs help though!
i have a stats exam in 3 days and you taught me more in one video than my professor has taught me in two weeks. He didn’t even teach us about confidence intervals but put it in our homework. So i thank you so so much for this, but i still think i’m gonna fail my exam.
ah stats... always very intuitive at the beginning. and then becomes less and less intuitive. it's just new terms and formula at some point. there is no "big picture" to help you find where you are or why you are there. anyways, great explanation as always.
Confidence interval formula is : the mean, plus or minus (standard deviation / sqrt(sample size)) * the Z statistic. The Z statistic in this example 1.96 because of the desired 95% confidence interval. If it was exactly 2 then your confidence would be 95.45%. If it were 3 you'd have 99.73% confidence. So basically, the wider the range (or the greater your sample size), the great your confidence. The narrower your range (or the smaller your sample size), the less confidence you have in the accuracy of the mean.
In a paper almost certainly prepared for a statistics class, someone found the mean length of 30 randomly selected top 100 songs from iTunes was 226.93 seconds. Seventy songs of that length will last you through a 4 hour 24 minute marathon.
I agree with everyone's complaints that they don't show the math - but does anyone know a good alternative that does show it step by step? Would love to know!
took me until just now to pinpoint the Intense Gina Linetti energy going on (and I only noticed because i started rewatching b99 to counteract the deep sadness stats is bringing me). more engaging than my college textbook though! also the number of people using the 95% c.i. in the comments but like, wrong.... concerned
The fact there is no examples that explain exactly how to find a confidence interval is a crash course is crazy. Just explaining terminology isn't enough SHOW US HOW.
I'm pretty sure that, when you don't know the population standard deviation, then you should always use a t-distribution, even with a large sample size.
The sound in the background that's there during the text "Our conficdence is in the fact that the procedure of calculating this confidence.." at 3:10 is REALLY annoying. Also it would be great with some formulas, I'm sure at least 80% of your audience are people studying for exams.
One thing that's really confusing: given a sample and then calculating a 95% confidence interval for that sample, you cannot say that there is a 95% chance that the population mean is within that confidence interval. This is because every sample has other features besides mean and standard deviation that will determine how likely it is that the mean will fall within that confidence interval. If we just use the mean and standard deviation, the 95% confidence interval is the best guess we can make for where the mean will fall 95% of the time, and indeed for 95% of samples, the mean will fall within our confidence interval. However, if we have the most advanced statistical modelling tools known to man and other features of our sample besides the mean and standard deviation, we would know the exact probability that the population mean is within our confidence interval, which is likely not exactly 95%
I have never found an explanation of this that isn't highly confusing and vehemently disputed. Any recommended resources that can help me make sense of it?
I also think that makes sense but calculating the CI that way was never mentioned. I THINK it's because 2 sigma just represents 95% of all scores, whereas the CI is used to describe the MEAN (population mean) within a range.
If we're already saying that the mean of our sampling distribution will be approximately equal to the population mean, then why are we taking a 95% confidence interval to prove that the population mean will be within a particular range? except that we're trying to give an interval estimation......
*_...is Student's T Distribution [_**_07:03_**_] the closest continuous function to the binomial, distribution (as in flipping a coin a small number of times), or how does it compare..._*
the p-value does not change based on alpha level, but your cutoff would be different. 0.04 is considered "significant" if alpha = 0.05, but not if alpha = 0.01. However in both cases p = 0.04
I was pretty confident with this topic but now I am so confused! She is going really fast and instead of showing all the dentistry stuff and some more unnecessary scenes, it would've been better if there were actual words and a graph on a part of the screen throughout that example, e.g., "mean number of cavities the avg person has in 5 yrs > 1. Calculate 95% confidence interval." or smth like that.
CI's aren't usually considered "significant" or not, but if a CI contains 0, and your null is that the parameter or difference = 0, then yes, a CI containing 0 means that you'd also fail to reject the null.
Chelsea Parlett yes, I should have stated more clearly. The CI itself isn’t considered significant, but the accompanying p-value- when containing 0- will not be significant.
The delivery guy will come by on the statistical 11ish. My impression is that computers will fight the indefinite by shooting the delivery guy, due to conservation of time and electricity.
I should have been more specific. It's the true believers in computers who will fight the indefinite to save time and or electricity, because that's where they came from in the first place.
*_...95% has been around for decades, so, why, 95%-I'd use Systems Theory to spec. returns, calculate the time-and-cost of processing a rate of returns, a probability of overrunning time-and-cost allotted, (got to stay in business)..._*
I'm sorry, but the crash course series just falls apart with mathematical subjects like statistics or physics. It's too fast, too abstract, too oral ... if you're not mathematically inclined you need to see someone do example problems over and over and then over again until you get it.
I'm 95% confident that students like us cannot retain information verbally
I have my statistics exam in 2 days and believe me, I'm not 95% confident of succeeding at all
was this hypothesis accepted or rejected?
just took the semester final
lmao same
mine is in two hours
I have an exam in 6 hours and I don’t know what I’m doing
4:10 calculate 95% CI
7:00 t distribution
to calculate t distribution, use program
10:40 margin of error
started off okay and just devolved into noise where i would occasionally hear 'distribution'
i am 95% more confused than I was before
Crash course should have the math written down or drawn out instead of just telling us the process of the math. It's hard for me to imagine the math in my head. The graphs help though!
Nasia furthermore, she talks way too fast to adequately absorb the information.
I usually cross reference with Khan Academy when I need to see the calculations.
yess
im 95% sure I'm gonna fail my exam tomorrow ahahaha kms
i have a stats exam in 3 days and you taught me more in one video than my professor has taught me in two weeks. He didn’t even teach us about confidence intervals but put it in our homework. So i thank you so so much for this, but i still think i’m gonna fail my exam.
Confidence and Stastics are words that people usually wouldnt put in the same sentence
"I have no confidence about thees statistics"
ah stats... always very intuitive at the beginning. and then becomes less and less intuitive. it's just new terms and formula at some point. there is no "big picture" to help you find where you are or why you are there. anyways, great explanation as always.
Confidence interval formula is : the mean, plus or minus (standard deviation / sqrt(sample size)) * the Z statistic.
The Z statistic in this example 1.96 because of the desired 95% confidence interval. If it was exactly 2 then your confidence would be 95.45%. If it were 3 you'd have 99.73% confidence. So basically, the wider the range (or the greater your sample size), the great your confidence. The narrower your range (or the smaller your sample size), the less confidence you have in the accuracy of the mean.
I am 95% confident there won't be gold lame pants next week.
Who here is cramming for tomorrow??
HOLYSHIT ME
Cramming for tonight!!
I’m here for fun and ‘background learning’ et. ‘playing games while absorbing knowledge’
Should have added more graphics to this episode. It's hard to follow along
In a paper almost certainly prepared for a statistics class, someone found the mean length of 30 randomly selected top 100 songs from iTunes was 226.93 seconds. Seventy songs of that length will last you through a 4 hour 24 minute marathon.
I agree with everyone's complaints that they don't show the math - but does anyone know a good alternative that does show it step by step? Would love to know!
statistics lesson on crash course should be more like written rather than oral explanation.
I’d have to buy the whole music store to finish my marathon. Which consequently would make me sure to finish it. Nice trick!
I've got every Grateful Dead studio album on my phone, so there's no way I'll be finishing a marathon.
"Imagine you're going to run a marathon. And you don't know how long it will take..." lol :D Yes, you do. :D
i understood every lect in this series before this lect.When the t- dist started, it got too complex.
glad I'm not the only one more confused after watching this video than before. stats its the only time where crash course has failed me.
oh i dunno, crash course physics is pretty bad too. barely made it out of kinematics and they toss you into calculus
when i listen to their intro my mind screams (HANK) lol
took me until just now to pinpoint the Intense Gina Linetti energy going on (and I only noticed because i started rewatching b99 to counteract the deep sadness stats is bringing me). more engaging than my college textbook though! also the number of people using the 95% c.i. in the comments but like, wrong.... concerned
The fact there is no examples that explain exactly how to find a confidence interval is a crash course is crazy. Just explaining terminology isn't enough SHOW US HOW.
9:05 - Where did the 0.033 came from?
I think... We have 50 repeated Bernoulli trials with p=0.06 (given) so the standard error is sqrt(0.06(1-0.06)/50) = 0.033
I'm pretty sure that, when you don't know the population standard deviation, then you should always use a t-distribution, even with a large sample size.
Ha, "buying" music…yeah…i totally do that…
The sound in the background that's there during the text "Our conficdence is in the fact that the procedure of calculating this confidence.." at 3:10 is REALLY annoying. Also it would be great with some formulas, I'm sure at least 80% of your audience are people studying for exams.
Thank you so very much !!!! super awesome way of breaking confidence intervals in easy to understand way !!!
Keep it up! If I remember accurately there is not much left for this section of the course :D
Thank you crash crouse
Congrats on 7.8m subs
What the heck was that boom sound at 3:42?!
I cannot get over your decor
Gawd this is so much better than my college prof was
Thanks Adriene :D
According to my confidence, the statistical quantification of my interval is more than 200% of 95 that I fail this final.
Great video!
There should be a link in the description to the topic play list
Did anyone else notice the sound at 3:42?
Had to look away from dentist scenes
4:20 what table??
could you please explain the BLP model in the next video?... that would be very usefull for me..
One thing that's really confusing: given a sample and then calculating a 95% confidence interval for that sample, you cannot say that there is a 95% chance that the population mean is within that confidence interval. This is because every sample has other features besides mean and standard deviation that will determine how likely it is that the mean will fall within that confidence interval. If we just use the mean and standard deviation, the 95% confidence interval is the best guess we can make for where the mean will fall 95% of the time, and indeed for 95% of samples, the mean will fall within our confidence interval. However, if we have the most advanced statistical modelling tools known to man and other features of our sample besides the mean and standard deviation, we would know the exact probability that the population mean is within our confidence interval, which is likely not exactly 95%
I have never found an explanation of this that isn't highly confusing and vehemently disputed.
Any recommended resources that can help me make sense of it?
Why times 1.96 around min 2?
I want to ask whether the 1 and 2 sigmas in normal distribution the same as confidence interval?
I also think that makes sense but calculating the CI that way was never mentioned. I THINK it's because 2 sigma just represents 95% of all scores, whereas the CI is used to describe the MEAN (population mean) within a range.
I have 95% confidence I will pass or not pass tomorrow because my exam isn't tomorrow.
01:15 its center, not it's center
Am I the only one upset about not seeing those gold pants?
Thaaat’s what she reminded me of!!! Lol does anyone else think she gives of Gina Linetti vibes? Great teacher. ^^
lol a little bit. like Gina's calmer, saner older sister
If we're already saying that the mean of our sampling distribution will be approximately equal to the population mean, then why are we taking a 95% confidence interval to prove that the population mean will be within a particular range? except that we're trying to give an interval estimation......
Good job!!!
*_...is Student's T Distribution [_**_07:03_**_] the closest continuous function to the binomial, distribution (as in flipping a coin a small number of times), or how does it compare..._*
But the p value will vary depending on whether you are using the .05 level (used here) or an .01 level which is more stringent.
the p-value does not change based on alpha level, but your cutoff would be different. 0.04 is considered "significant" if alpha = 0.05, but not if alpha = 0.01. However in both cases p = 0.04
Chelsea Parlett You are absolutely correct. Thank you very much for correcting my blunder. I must have been half asleep at the time.
I was pretty confident with this topic but now I am so confused! She is going really fast and instead of showing all the dentistry stuff and some more unnecessary scenes, it would've been better if there were actual words and a graph on a part of the screen throughout that example, e.g., "mean number of cavities the avg person has in 5 yrs > 1. Calculate 95% confidence interval." or smth like that.
I’ve always thought that if a CI contained 0, it’s not significant? Am I wrong here?
CI's aren't usually considered "significant" or not, but if a CI contains 0, and your null is that the parameter or difference = 0, then yes, a CI containing 0 means that you'd also fail to reject the null.
Chelsea Parlett yes, I should have stated more clearly. The CI itself isn’t considered significant, but the accompanying p-value- when containing 0- will not be significant.
I'm 95% that there'll be more than 3 fillings needed,
Well, now you have to wear gold pants next week...
The delivery guy will come by on the statistical 11ish. My impression is that computers will fight the indefinite by shooting the delivery guy, due to conservation of time and electricity.
so confusing in words needs to show how the numbers actually work
ie. math
I should have been more specific. It's the true believers in computers who will fight the indefinite to save time and or electricity, because that's where they came from in the first place.
Gummy worms are ok, I guess, but you could talk about student's actual work on delicious beer.
So people who buy songs really exist , interesting.
gotta get that crispy 320kbps
Confidence interval for appearance of gold pants?
she's a bit drier than hank or john but i'm definitely getting a better grasp on stat
After watching this video I came to a conclusion........ WTF IS A CONFIDENCE INTERVAL???
"Confidence interval quantify our uncertainty. They also demonstrates the trade off of accuracy for precision " crash course
traducción al español por favorr
Neat
I guess i will be leaving cos of the comments😂
the accuracy and precision statement is swapped, it need revison
Put the speed to .75 shes finally talking normal
Are you kidding? She sounds stoned at 0.75. x1.25 sounds normal to me.
So if you're really lucky, that chocolate bar contains infinite calories.
This lady looks and speaks like steve from gamers nexus' mom.
Did you ever end up getting your pants-
*_...95% has been around for decades, so, why, 95%-I'd use Systems Theory to spec. returns, calculate the time-and-cost of processing a rate of returns, a probability of overrunning time-and-cost allotted, (got to stay in business)..._*
Where was this when I was in 9th grade 😂🤔
Yay statistics :):):)
Why would you buy new music just to load up a running playlist? Just put a suitably-long selection of your existing music on there.
Pfhorrest or you could just buy the 70 songs and put them on shuffle and repeat
feel like i'm in a Casino with the stupid sound f/x
Incase you didn’t know, crash course, the AP test was weeks ago.
Lauren Divitto I look these videos now and like "nope, never gonna think of stats again😄" lol
If we calculated 5 CI and it turn out that all CI didn't contain true population, is it considered as bad luck? Lol
But seriously is it possible? .-.
ahmad fahadh ilyas it is possible, though unlikely!
What...!
The forms of colorblindness I'm aware of are all genetic. I don't think we have a simple medication that could work like the one described.
I usually like ur videos but this one lacked examples with real numbers and graphs. Hard to follow
Last comment
I miss jhon and Hank :(
3rd comment
Barf
11th comment
I just dumped my name and address
This was explained so bad
“It’s center”?!?!
Please proofread your blurbs. I expected more from CrashCourse...
I'm sorry, but the crash course series just falls apart with mathematical subjects like statistics or physics. It's too fast, too abstract, too oral ... if you're not mathematically inclined you need to see someone do example problems over and over and then over again until you get it.
Not a good explanation
Wtf is wrong with people? Why can’t people speak properly ffs, without undulating affectations and speed. Dislike.
Hey Adrian don't record when you're sad, take a day off. You're clearly super sad.
what the hell is this video?
I’m feeling more dumb...you don’t do a good job teaching people who aren’t knowledgeable of statistics...this is for experts