Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
<h3>Central Limit Theorem</h3>
The Central Limit Theorem establishes 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 sampling distribution is also approximately normal, as long as n is at least 30.
In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
To learn more about the Central Limit Theorem, you can check brainly.com/question/24663213
Cancellation occurs if your license was issued because of a mistake or fraud (i .e giving false information or identification)
Answer:
The first modern heavyweight-boxing champion was John L. Sullivan, whose career spanned the sports two eras. Sullivan was born in 1858 into an Irish immigrant family in Roxbury, Massachusetts.
Explanation:
-6
-2-(-4)=-6
would be the answer
This statement about drawing blood from a patient is:
<h3 /><h3>What are patient rights?</h3>
Patient rights refer to the opinion of patients on certain forms of treatments. Whatever a patient thinks about any form of treatment must be respected.
In the case above, if the health administrator continues drawing blood, he or she would be violating the patient's rights.
Learn more about patient rights here:
brainly.com/question/24215124
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