Answer:
Step-by-step explanation:
The top one is the third one the bottom one is the first one
Answer:
I will tomorrow :)
Step-by-step explanation:
Answer:What the question?
Step-by-step explanation:
Answer:
Step-by-step explanation:
Domain:all real values
Range:[5,∞)
Answer:
Approximately normal for large sample sizes
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.
In this question:
The distribution is unknown, so the sampling distribution will only be approximately normal when n is at least 30.
So the correct answer should be:
Approximately normal for large sample sizes