For a sample size of 20, a 95 percent confidence interval using the t distribution would be wider than one constructed using the z distribution.
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Q11: As n increases, the standard error decreases.
Q12: As long as the sample is more
Q13: An estimator must be unbiased if you
Q14: A sample of size 5 shows a
Q15: The Central Limit Theorem says that, if
Q17: In constructing a confidence interval for the
Q18: In comparing estimators, the more efficient estimator
Q19: As n increases, the width of the
Q20: A higher confidence level leads to a
Q21: The sample proportion is always the midpoint
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