Question: QUESTION 39 In using the confidence interval approach for calculating the needed sample size, everything else being equal, how do you assess the difference between

QUESTION 39 In using the confidence interval approach for calculating the needed sample size, everything else being equal, how do you assess the difference between 90% and 95% confidence level? prefer a 90% confidence level prefer a 95% confidence level demand certainty (confidence level 100%) o have no preference QUESTION 40 Inferential statistics focuses on sampling error, which is: an error in the definition of the sampling frame the difference between a probability and a non-probability sample a systematic difference between the sample composition and the corresponding population a random difference between sample estimate and population parameter

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