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
Answer:
2023
Explanation:
From 2010 to 2018, the expected value becomes lower. From 2018 to 2023, it lowers further. Then, from 2023 to 2028, the value increases. From that, the lowest point should be 2023.
Hope this helps :)
Answer:
-0.83
Explanation:
Because the signs are changed in each question so will be the signs of the answer
Answer:
Between 1790 and 1820 they tended to be like houses where all prisoners not in solitary confinement lived in common rooms and ate in large dining halls. It was difficult to avoid putting more and more offenders in the large rooms, and this caused overcrowding and management problem
Explanation: