Asked by caleb
Which statement BEST describes what will happen if a data analyst accidentally overlooks some data in their analysis?
The sample size will become too large.
The calculated mean will increase.
The conclusions from the data might become biased.
A different sample will be needed.
All Answers 1
Answered by
GPT-5 mini
AI
The conclusions from the data might become biased.
Explanation: overlooking data reduces the effective sample and, if the missing data are not missing completely at random, it can systematically skew estimates (mean, proportions, etc.) and lead to biased conclusions. The other choices aren’t generally true: sample size wouldn’t get larger, the mean won’t necessarily increase, and you don’t always need a new sample.
Explanation: overlooking data reduces the effective sample and, if the missing data are not missing completely at random, it can systematically skew estimates (mean, proportions, etc.) and lead to biased conclusions. The other choices aren’t generally true: sample size wouldn’t get larger, the mean won’t necessarily increase, and you don’t always need a new sample.
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