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ISDS 361A Exam 2 with Questions and Answers, Exams of Business Economics

ISDS 361A Exam 2 with Questions and Answers The standard deviation of the sampling distribution of is also called the: ANSWER✓✓ standard error of the sample mean As a general rule in computing the standard error of the sample mean, the finite population correction factor is used only if the: ANSWER✓✓ sample size is greater than 5% of the sample size If all possible samples of size n are drawn from an infinite population with a mean of and a standard deviation of , then the standard error of the sample mean is inversely proportional to: ANSWER✓✓ square root n The finite population correction factor should be used: ANSWER✓✓ whenever the sample size is large compared to the population size. The Central Limit Theorem states that, if a random sample of size n is drawn from a population, then the sampling distribution of the sample mean : ANSWER✓✓ is approximately normal if n > 30. A sample of size n is selected at random from an infinite population.

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2024/2025

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The standard deviation of the sampling distribution of is also called the: ANSWERV / standard error of the sample mean As a general rule in computing the standard error of the sample mean, the finite population correction factor is used only if the: ANSWERV ¥ sample size is greater than 5% of the sample size If all possible samples of size n are drawn from an infinite population with a mean of and a standard deviation of , then the standard error of the sample mean is inversely proportional to: ANS WERV / square root n The finite population correction factor should be used: ANSWERV V whenever the sample size is large compared to the population size. The Central Limit Theorem states that, if a random sample of size n is drawn from a population, then the sampling distribution of the sample mean: ANSWERV ¥ is approximately normal if n > 30. A sample of size n is selected at random from an infinite population. As n increases, which of the following statements is true? ANSWERV V The standard error of the sample mean decreases.