Hey please correct yourself at 0:41 ( you said you have a box and its got 200 apples in it. This is confusing many). In actual there are 36 apples and weight of all these apples in a single box is 200 OZ. All those who just get confuse with 5.5 then please note that it is a mean of sample: (You sum up the weight of all 36 apples in a box and then divide it with total number of apples).
You made a grave early rounding error. 1.93 is the wrong Z score. If you carry your decimals, the correct Z score is 1.8667. The probability is actually 0.03097, not 0.02068. Please double check my math
He was supposed to look on the positive side of 1.93, which is .9732. And then you do 1-.9732, which is .0268. (Reference: Central Limit Theorem Practice Problem #4's comment, but I changed the numbers according to this video)
Hey please correct yourself at 0:41 ( you said you have a box and its got 200 apples in it. This is confusing many). In actual there are 36 apples and weight of all these apples in a single box is 200 OZ.
All those who just get confuse with 5.5 then please note that it is a mean of sample: (You sum up the weight of all 36 apples in a box and then divide it with total number of apples).
you are right
You made a grave early rounding error. 1.93 is the wrong Z score. If you carry your decimals, the correct Z score is 1.8667.
The probability is actually 0.03097, not 0.02068.
Please double check my math
Well i found 0.0314
I guess it depend on the table you're using.
Very Well Explained
great video thanks !
Very helpful Thanks
How do you decide whether to use the regular z score formula or the central limit theory variation
Thank you daddy
why you make 200/36 ?? i didn't understand
That's the weight per apple. Its primary school mathematics.
@@AccuphaseMan stfu
I suppose to compare 1 to 1 , and multi to multi, 200 is multi I transforme it to be a one
You said in the box there is 36 Apples, then suddenly you said 200 oz.. well.. I don't get it..
Why did he look for -1.93? Even. though the answer is a positive?
the distribution curve is symetric . so the desired area would be the same
He was supposed to look on the positive side of 1.93, which is .9732. And then you do 1-.9732, which is .0268. (Reference: Central Limit Theorem Practice Problem #4's comment, but I changed the numbers according to this video)
Didnt learn a thing.