The measure of variability for distribution of means = SEm = SD/√n
Note that as n increases, SEm decreases.
Larger samples (n) are less likely to be biased one way or the other.
What is the relationship between Sample Size and the width of the Confidence Interval? Please explain further as to why.
I understand the relationship, but I can't figure out the why
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