# SOLUTION: 1. Describe the effect of increasing the size of a sample on the margin of error of a 95% confidence interval. Address any potential changes to either piece of the formula.

Algebra ->  Algebra  -> Probability-and-statistics -> SOLUTION: 1. Describe the effect of increasing the size of a sample on the margin of error of a 95% confidence interval. Address any potential changes to either piece of the formula.       Log On

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 Question 229900: 1. Describe the effect of increasing the size of a sample on the margin of error of a 95% confidence interval. Address any potential changes to either piece of the formula. 2. Describe the effect of changing a confidence level from 95% to 90% on the margin of error. Address any potential changes to either piece of the formula. 3. Explain clearly and briefly what 95% confidence means. 4. Briefly explain the difference between statistical significance and practical significance. 5. Why is it not necessary to apply inferential methods to a census? 6. When is it ok to use statistics based on a normal distribution (e.g., z-test, t-test), even if the population from which the data is taken is not normally distributed. Why is it ok? Answer by stanbon(57347)   (Show Source): You can put this solution on YOUR website!Margin of Error = E = z[s/sqrt(n)) ------------------------------- 1. Describe the effect of increasing the size of a sample on the margin of error of a 95% confidence interval. Address any potential changes to either piece of the formula. --- As n increases E decreases ----------------------------------- 2. Describe the effect of changing a confidence level from 95% to 90% on the margin of error. Address any potential changes to either piece of the formula. --- E decreases ----------------------------------- 3. Explain clearly and briefly what 95% confidence means. We are 95% confident the population mean is between the lower limit and the upper limit. ------------------------------------ 4. Briefly explain the difference between statistical significance and practical significance. --- Statistical significance implies a certain percent of confidence is the decision to reject Ho. Practical significance is a judgement call made by an indivisual on the strength of evidence for or against some action. -------------------------------- 5. Why is it not necessary to apply inferential methods to a census? Because not all individuals can be contacted. -------------------------------- 6. When is it ok to use statistics based on a normal distribution (e.g., z-test, t-test), even if the population from which the data is taken is not normally distributed. Why is it ok? Check your text. I'll leave that to you. Cheers, Stan H.