Answer:
The standard error of the sampling distribution of sample mean is: 6.5
Step-by-step explanation:
We use the Central limit theorem to solve this question.
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, a large sample size can be approximated to a normal distribution with mean
and standard deviation, which is also called standard error of the sampling distribution of sample mean is ![s = \frac{\sigma}{\sqrt{n}}](https://tex.z-dn.net/?f=s%20%3D%20%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D)
In this problem, we have that:
![\sigma = 39, n = 36](https://tex.z-dn.net/?f=%5Csigma%20%3D%2039%2C%20n%20%3D%2036)
![s = \frac{39}{\sqrt{36}} = 6.5](https://tex.z-dn.net/?f=s%20%3D%20%5Cfrac%7B39%7D%7B%5Csqrt%7B36%7D%7D%20%3D%206.5)
The standard error of the sampling distribution of sample mean is: 6.5
40% = 40/100 = 0.40
Find 40% of 20
20 * 0.40 = 8
Solution: 8 students traveled
Answer:
x= 72
Step-by-step explanation:
combine the Xs on one side and then make the denominators the same and solve
8/12X +6 = 3/4X
sub 6 on both sides
then sub 3/4 (aka. 9/12)
-1/12X= -6
multiply by reciprocal (the fraction flip-flopped)(-12) on both sides
and you get 72
Answer:
y axis
Step-by-step explanation: