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There are different variations in population size. The best reason why the simulation of the sampling distribution is not approximately normal is that The sample size was not sufficiently large.
<h3>What takes place if a sample size is not big enough? </h3>- When a sample size taken by a person or a researcher is not big or inadequate for the alpha level and also analyses that one have chosen to do, it will limit the study statistical power.
Due to the above, the ability to know a statistical effect in one's sample if the effect are present in the population is greatly reduces.
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Which of the following would be the best reason why the simulation of the sampling distribution is not approximately normal?
A The samples were not selected at random.
B The sample size was not sufficiently large.
с The population distribution was approximately normal.
D The samples were selected without replacement.
E The sample means were less than the population mean.
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Probability distributions are used to represent data and their probabilities
The table entry is given as:
<u>Age of House Number of Houses</u>
1 15
2 20
3 25
4 30
Start by calculating the probability of selecting a house that has a certain age.
This is calculated as:
So, we have:
This means that the graph that represents the probability distribution must show that the probability of 1 is 0.17; 2 is 0.22; 3 is 0.28; 4 is 0.33.
Read more about probability distribution at: