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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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First, we need to find the probability, P, that the software is the standard version.
Out of 25,000 units, 5,000 were deluxe. That means the remaining 20,000 were standard. So, 20,000 out of 25,000, or
were standard. That means the probability of selecting a standard one at random is P = 0.8.
Next, we need to find the independent probability that any software box will contain the promotion. We know that 1 in 500 will, or
. That means P = 0.002.
To find the compound probability of these two events, we multiply the probabilities together to get
.
Out of 25,000 units, 5,000 were deluxe. That means the remaining 20,000 were standard. So, 20,000 out of 25,000, or
Next, we need to find the independent probability that any software box will contain the promotion. We know that 1 in 500 will, or
To find the compound probability of these two events, we multiply the probabilities together to get