What do you mean? like the entire book??
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Answer: D) 4</h3>
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Explanation:
The width of the confidence interval is 20-12 = 8 units. That cuts in half to get 8/2 = 4 which is the margin of error.
The center of the confidence interval is (12+20)/2 = 32/2 = 16. Add four onto this to get 16+4 = 20, which is the right endpoint. Subtract four from the center to get 16-4 = 12, which is the left endpoint.
Effectively, it's like saying "an archer aims for the value 16 on the number line, and the arrow could land as high as 20 or as low as 12".
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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?
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- 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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