Answer:
e) The mean of the sampling distribution of sample mean is always the same as that of X, the distribution from which the sample is taken.
Step-by-step explanation:
The central limit theorem states that
"Given a population with a finite mean μ and a finite non-zero variance σ2, the sampling distribution of the mean approaches a normal distribution with a mean of μ and a variance of σ2/N as N, the sample size, increases."
This means that as the sample size increases, the sample mean of the sampling distribution of means approaches the population mean. This does not state that the sample mean will always be the same as the population mean.
Step-by-step explanation:
z-score of X = 6150
z-score of X = 6350
P(X<6150) + P(X>6350)
=P(z<-0.4) + P(z>-0.4)
=0.3446+0.3446
=0.6892
Answer:
2.6
Step-by-step explanation:
i just counted
Answer:
531441
Step-by-step explanation:
We can find by factorization
531441 = 9 * 9 * 9 * 9 * 9 *9 = (9*9*9) * (9*9*9)
![\sqrt[3]{531441}=\sqrt[3]{9*9*9*9*9*9} =9*9 = 81\\\\\\\sqrt{531441}=\sqrt{(9*9)*(9*9)*(9*9)}=9*9*9=729](https://tex.z-dn.net/?f=%5Csqrt%5B3%5D%7B531441%7D%3D%5Csqrt%5B3%5D%7B9%2A9%2A9%2A9%2A9%2A9%7D%20%20%3D9%2A9%20%3D%2081%5C%5C%5C%5C%5C%5C%5Csqrt%7B531441%7D%3D%5Csqrt%7B%289%2A9%29%2A%289%2A9%29%2A%289%2A9%29%7D%3D9%2A9%2A9%3D729)
Answer:
if it says n- -10 then its 10
if it says n-10 then its 30
Step-by-step explanation:
i dont know if that line is a negative
