Bias refers to a systematic discrepancy between estimates and the true population characteristic, whereas sampling error

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Bias Refers To A Systematic Discrepancy Between Estimates And The True Population Characteristic Whereas Sampling Error 1 (57.33 KiB) Viewed 13 times

Bias refers to a systematic discrepancy between estimates and the true population characteristic, whereas sampling errors occur when the chance differs between an estimate and the population parameter being estimated. Identify the consequences (i.e., increase, decrease, or none) that the following procedure is likely to have on bias or sampling error in an experimental study. Question: Assigning treatments to subjects alphabetically, not randomly will increase bias. True False