Remember kids, if you're withholding taxes, don't pick what to report and what to not, do it randomly, so the pattern holds! PSA: Don't withhold your taxes :D
Great work Eddie - why would any school make kids pay for EDROLO or similar when they have access to these videos ? It's a great service. While here - is it true to say that a normal distribution will always have mean = median ? Or is that only if it is perfectly normally distributed ? Cant we still say that the height in your class is normally distributed if the mean is 176 cm and the median is 176.5 cm ? Let's assume it still look like a bell curve. Most impressed by your class as well. They are fully attentive for 8 minutes. Unless they are looking out the window. But I suspect they are listening :-)
Mean = median being always the case for normal distribution, is only the case if you have infinitely many data points and a continuous range of possible values. You could by happenstance end up with a slightly different mean than median, for a finite set of data. For the normal distribution, all three measures of center (mean, mode, and median) coincide in the long run of infinite data points.
Where does the probability density function of the normal curve come from? I'm striving for understanding it, it could be a good subject for another video!
it requires extremely high level of calculus knowledge to derive that formula, way beyond high school level! U will need to know stuffs like double integration! Its crazy
Can you please let me know why the errors have to be normally distributed, so does it have to randomly distributed to prove that our model for prediction is good? meaning the variances between the observation and prediction should be normal? But on the other hand shouldn't the error be more random so that we aren't missing any variable in consideration or any pattern?. confused please explain
They don't necessarily have to be normally distributed. This is just a common distribution we observe for a lot of statistical distributions of continuous random variables. There are also other probability distributions, like exponential distribution, lognormal, Weibull, Poisson, and Binomial.
I’m studying for a Physic’s test at university and even though I’m Italian you’re my fav teacher :)))
Best introduction of normal distribution ever
This is such a genius intro for the topic, thank you so much! ☺
It actually depicts the spread of a particular parameter in your data.
Remember kids, if you're withholding taxes, don't pick what to report and what to not, do it randomly, so the pattern holds!
PSA: Don't withhold your taxes :D
i have to say this is Amazing!
Great work Eddie - why would any school make kids pay for EDROLO or similar when they have access to these videos ? It's a great service.
While here - is it true to say that a normal distribution will always have mean = median ? Or is that only if it is perfectly normally distributed ? Cant we still say that the height in your class is normally distributed if the mean is 176 cm and the median is 176.5 cm ? Let's assume it still look like a bell curve.
Most impressed by your class as well. They are fully attentive for 8 minutes. Unless they are looking out the window. But I suspect they are listening :-)
Mean = median being always the case for normal distribution, is only the case if you have infinitely many data points and a continuous range of possible values. You could by happenstance end up with a slightly different mean than median, for a finite set of data. For the normal distribution, all three measures of center (mean, mode, and median) coincide in the long run of infinite data points.
Where does the probability density function of the normal curve come from? I'm striving for understanding it, it could be a good subject for another video!
it requires extremely high level of calculus knowledge to derive that formula, way beyond high school level! U will need to know stuffs like double integration! Its crazy
@@mithichakraborty2738 thank you man! I thought it was hard but.. do you know of some site, book or else where it is well explained?
It's not bad. If we can get over the notion of loving hearing youself talk. Were good. Kudos.
Watches an 8 minute video of someone speaking to ask them to speak less.
@@theknight27 Theres a difference between speaking to an audience amd speaking to hear yourself.
@@miguelcerna7406 if you have a better way to explain perhaps show us the way by recording one and posting on your channel.
Hah, this was great. Thank you!
Can you please let me know why the errors have to be normally distributed, so does it have to randomly distributed to prove that our model for prediction is good? meaning the variances between the observation and prediction should be normal?
But on the other hand shouldn't the error be more random so that we aren't missing any variable in consideration or any pattern?. confused please explain
They don't necessarily have to be normally distributed. This is just a common distribution we observe for a lot of statistical distributions of continuous random variables.
There are also other probability distributions, like exponential distribution, lognormal, Weibull, Poisson, and Binomial.
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