Answer:
The mean of the distribution of sample means is 27.6
Step-by-step explanation:
We are given the following in the question:
Mean, μ = 27.6
Standard Deviation, σ = 39.4
We are given that the population is a bell shaped distribution that is a normal distribution.
Sample size, n = 173.
We have to find the mean of the distribution of sample means.
Central Limit theorem:
- It states that the distribution of the sample means approximate the normal distribution as the sample size increases.
- The mean of all samples from the same population will be approximately equal to the mean of the population.
Thus, we can write:

Thus, the mean of the distribution of sample means is 27.6
Answer:
x= 8
Step-by-step explanation:
5.5(x-3)=17+10.5
5.5x - 16.5= 27.5
5.5x= 44
x= 8
Number 1.
Subtracting Negative Is The Same As Adding.
<span>So, It Would Be Equivalent To A
</span>Number 2:
Subtracting From A Negative Is Making The Negative Number Larger.
<span>So, It Would Be A
</span>Number 3:
<span>Positive Plus Positive Makes Larger Positive:
37 + 13 = 50</span>.
<span>So, 3 Is D.
Number 4:
</span>Adding Negative Is Making Positive Numbers Smaller.
So, It Is C.
Number 5:
This Is C, Because -30 + 30 = 0 + 1 = 1
Radius = sqrt(18) = 3*sqrt(2)
diameter = 2(3sqrt(2)) = 6sqrt(2)