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1. Suppose we have a population that does not follow the normal distribution. Wh

ID: 3355725 • Letter: 1

Question

1. Suppose we have a population that does not follow the normal distribution. What minimum sample size we should select in order to have an approximately normal distribution (symmetric)? A. more than 10% of population size . B. it is based on population standard deviation C. 20 D. 30 2. East Brunswick High school has 1200 students. A sample of 240 students was selected to study the average monthly income of students. Since sample size is greater than 30, how much error would you expect in finding the average income of all students? A. 50% o B. 20% C. 10% o D. Can't be determined. 3. The standardized value of z: - A. can be positive or negative B. can be only positive. D. None of the above 4. The difference between the sample statistic and population parameter is called - A. acceptable error - B. sampling error - C. standard error - D. margin of error . E. None of the above

Explanation / Answer

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In general, it is said that Central Limit Theorem “kicks in” at an N of about 30. In other words, as long as the sample is based on 30 or more observations, the sampling distribution of the mean can be safely assumed to be normal.

The normal distribution, also known as theGaussian or standard normal distribution, is the probability distribution that plots all of its values in a symmetrical fashion, and most of the results are situated around the probability's mean. Values are equally likely to plot either above or below the mean.

So, D option