Decreasing sample size:
A decreases precision
B decreases bias
C increases precision
D decreases precision and bias
Sample size is the number of items selected to get estimates for the overall population. The larger the sample size, the better the prediction / precision and vice versa. Bias is when the items do not have equal chance of being selected that is the sample is not randomly selected. It can happen with any sample irrespective of the size. Hence the sample size does not affect bias.
Decreasing sample size:
A decreases precision
B decreases bias
C increases precision
D decreases precision and bias
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