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
it will be intrest blc there will be rent
The statement that is most accurate assessment of Jerry's behavior is: This behavior is not a gambling disorder.
<h3>What is Gambling Disorder?</h3>
Gambling disorder, also known as pathological gambling, can be described as a disorder which involves repeated gambling behavior that interferes with one's day to day life leading to problems for the individual, their families and the society.
From the information given about Jerry, it even though he loses money gambling, it doesn't interfere with his daily activities or normal life.
Therefore, the statement that is most accurate assessment of Jerry's behavior is: This behavior is not a gambling disorder.
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It should be noted that the feature of Texas cattle ranching that did not originate in Spain is The cattle drive.
<h3>What is Texas cattle ranching all about?</h3>
Texas cattle ranching is the unique way in which they take care of their animal rearing system.
Texas cattle ranching;
However , some of the system comes from Spain
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