FINALLY I GET IT. I was so confused as to what exactly the raw score was. why can't anyone (other than you) just straight up say that its the value of a data point in the data sample we are looking at?? Jesus Christ.
no, he was correct. Because the formula he used is population standard deviation which the 'n' is as is. Where the 'n-1' is used for the formula of sample standard deviation.
Excellent Mr Khan, very good explanation of why the z value is calculated like that . You broken each part down , why is it (X - mean ), then you went through why you divided it by the standard deviation . Excellent
Summary of this video: The reason why the standard deviation is in the denominator is that we want to know how many standard deviation are there in the distance between the value of each of the data point and the population mean. We all know that distance can't be negative but I guess it just for showing us if it's lower than or greater than the population mean. -59/100 of 1.69 is approximately -1. It's not exactly -1 because we round/simplify the 1.69 and the 0.59. I think that the negative is showing us that we have to subtract approximately 59/100 of 1.69 (the standard deviation) from the population mean, which is 3, to get to the value of the first data point, which is 2, and not adding it. We care about this value because it shows us how typical a data point is. The mean is one of the measures that show the typical/average number of all of the data points in a data set, so calculating it will be a great way to measure how typical a data point is based on its distance from the mean (whether it is greater than or less than) and the standard deviation. I think that the reason why we include the standard deviation in the calculation is to show relativity. That is because data sets can have different spread while simultaneously having the same mean, and it just shows us the measure of spread. Just guessing! Please let me know if I make any mistake.
@@taylormartin4281 He's considering the whole population so you don't need to subtract the 1. it's only if its a sample that you need to subtract a one from
No. Biased Stdev for those 7 numbers is exactly 1.69. You are talking about unbiased std, but for such small population it leads to significant differences between them, so its better to use biased assessment here.
Calculate the mean, then substract the mean from each data point, square it, and by sum you willl get the variance. Then divide it by n and take the root. Std. Dev. is the square root of variance. Hope this helps.
sorry for late reply, but its taking the individual score minus the mean and square it and take the next individual score minus the mean and square it - e.g (2-3)^2 + (2-3)^2.... and then sum up these values and divide by the n and then square it
Sal forgot to subtract 1 from the number of data points, resulting in an incorrect standard deviation of approximately 1.69--√(20÷7). The correct standard deviation is approximately 1.83--√(20÷6).
@@psvishnu-ai you are correct Vishnu PS, at the start of the video Sal explains that the seven turtles are (N) the whole population of that species, not (n) a sample. Therefore, no need to minus 1.
he used the formula σ =√ ∑ (Xi - μ)^2 / N because the turtles make up the entire population. we aren't calculating the SD for a sample so n-1 isn't necessary he did √ (1^2+1^2+1^2+2^2+2^2+3^2) / 7 which gave him 1.69
Ah! a classic math video from my main man Mr.Khan
Baylen levine refferrnce?
A brain cultivating lecture from an expert, though an effortlessly making math easy mathematician. Brilliant
Thanks for the clear explanation, it was so much simpler than I thought
FINALLY I GET IT. I was so confused as to what exactly the raw score was. why can't anyone (other than you) just straight up say that its the value of a data point in the data sample we are looking at?? Jesus Christ.
I think you divided by 'n' instead of (n-1) when calculating variance. The standard deviation should be 1.825.
That’s what i got too
i keep getting 0 im so confused
u probably forgot to square
@@emilyboyle7240
yeah
no, he was correct. Because the formula he used is population standard deviation which the 'n' is as is. Where the 'n-1' is used for the formula of sample standard deviation.
Excellent Mr Khan, very good explanation of why the z value is calculated like that . You broken each part down , why is it (X - mean ), then you went through why you divided it by the standard deviation . Excellent
It's really fun to learn from Khan Academy....all topics
Summary of this video:
The reason why the standard deviation is in the denominator is that we want to know how many standard deviation are there in the distance between the value of each of the data point and the population mean. We all know that distance can't be negative but I guess it just for showing us if it's lower than or greater than the population mean.
-59/100 of 1.69 is approximately -1. It's not exactly -1 because we round/simplify the 1.69 and the 0.59. I think that the negative is showing us that we have to subtract approximately 59/100 of 1.69 (the standard deviation) from the population mean, which is 3, to get to the value of the first data point, which is 2, and not adding it.
We care about this value because it shows us how typical a data point is. The mean is one of the measures that show the typical/average number of all of the data points in a data set, so calculating it will be a great way to measure how typical a data point is based on its distance from the mean (whether it is greater than or less than) and the standard deviation.
I think that the reason why we include the standard deviation in the calculation is to show relativity. That is because data sets can have different spread while simultaneously having the same mean, and it just shows us the measure of spread. Just guessing!
Please let me know if I make any mistake.
Standard deviation is supposed to be 1.82 isn’t it? n-1? 7-6? Or am I missing something?
You are correct. The standard deviation is approx 1.82. 1.83 to be more precise. Good on you for noticing his mistake!
@@taylormartin4281 He's considering the whole population so you don't need to subtract the 1. it's only if its a sample that you need to subtract a one from
No. Biased Stdev for those 7 numbers is exactly 1.69. You are talking about unbiased std, but for such small population it leads to significant differences between them, so its better to use biased assessment here.
i used this method (1/7) x 20= 2.86 and the square root is 1.69
he is correct :)
Very nice for raising such a good concern.I was also doubt ful
That’s one class I have been looking for thanks to you sir
Khan is the GOAT
A 10 kg weight loss is expected to decrease blood pressure by 15-20 mmhg
Lowering salt intake to 6gm/day can lower systolic blood pressure by 10 mmhg
So if I don't have the standard deviation, how do I get it?
Calculate the mean, then substract the mean from each data point, square it, and by sum you willl get the variance. Then divide it by n and take the root. Std. Dev. is the square root of variance. Hope this helps.
Can someone please explain how did he get the standard deviation? Thanks.
sorry for late reply, but its taking the individual score minus the mean and square it and take the next individual score minus the mean and square it - e.g (2-3)^2 + (2-3)^2.... and then sum up these values and divide by the n and then square it
@@444TripleH u are supposed to divide by n-1 i believe and then find the square root of that
@@emilyboyle7240 oh thanks for correcting if i made a mistake
اللهم صل على سيدنا محمد وعلى اله وصحبه وسلم تسليما كثيرا عدد خلقك و رضا نفسك وزنة عرشك ومداد كلماتك و عدد ما كان وعدد ما سيكون وعدد الحركات والسكون.
oooh, so only if it's a "sample" you do n-1??
How to get the population standard deviation
I think I learn better through videos lmao
thank
does any1 know how to demostrate it?
Why do we need z score ?
1.78
lol this was made during the algebra 2 regents today
Can't get the 1cm winged turtle out of my head
Sal forgot to subtract 1 from the number of data points, resulting in an incorrect standard deviation of approximately 1.69--√(20÷7). The correct standard deviation is approximately 1.83--√(20÷6).
Since there are only 7 species of turtles, he might have treated the data points as the whole population. What do you think?
@@psvishnu-ai you are correct Vishnu PS, at the start of the video Sal explains that the seven turtles are (N) the whole population of that species, not (n) a sample. Therefore, no need to minus 1.
how is the standard deviation 1.69 i keep calculating 0 :0
he used the formula σ =√ ∑ (Xi - μ)^2 / N because the turtles make up the entire population. we aren't calculating the SD for a sample so n-1 isn't necessary
he did √ (1^2+1^2+1^2+2^2+2^2+3^2) / 7 which gave him 1.69
the sum of (xi - the population mean) would be zero though....
😂😂 wellcome