Answer:
The sampling distribution of the sample mean of size 30 will be approximately normal with mean 15 and standard deviation 2.19.
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
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For the population, we have that:
Mean = 15
Standard deviaiton = 12
Sample of 30
By the Central Limit Theorem
Mean 15
Standard deviation 
Approximately normal
The sampling distribution of the sample mean of size 30 will be approximately normal with mean 15 and standard deviation 2.19.
Answer:
2ab(a + 3b)
Step-by-step explanation:
2a²b + 6ab²
Factor out 2ab
2ab(a + 3b)
Answer:
table f is the one that is proportional
Step-by-step explanation:
on the graph start at the origin (0,0) then go to the right once and then go up twice and place a point. Then go over once again and go up 2 lines again and place another. Repeat this process five times.
Answer:
true
Step-by-step explanation:
If the standard deviation is increased and the sample size and confidence level stay the same, then the margin of error will also be increased
Outcome
Hope this helps :)