Answer:
Mean $1060
Standard error $34.69
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation, which is also called standard error,
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Population:
Mean $1,060 and standard deviation $190.
Sampling distriution of samples of size 30:
Mean $1060
Standard deviation ![s = \frac{190}{\sqrt{30}} = 34.69](https://tex.z-dn.net/?f=s%20%3D%20%5Cfrac%7B190%7D%7B%5Csqrt%7B30%7D%7D%20%3D%2034.69)
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Answer:
y=-12
Step-by-step explanation:
-2(18-3y)=7y+2y
-36+6y=9y
9y-6y=-36
3y=-36
y=-12
Answer:
the first square that equals 625 goes to the 125 box
the second square that equals 81 goes to the 243 box
the third square that equals 32 goes to the 8 box
and the fourth square that equals 64 goes to the 256 box
Hope this helped :)
Step-by-step explanation:
Answer: hmmm no!
Step-by-step explanation: