Question

This is one of the most common reasons you may have skewed or incorrect results when running lab work:

A) Inadequate sample size
B) Calibration errors
C) Proper equipment maintenance
D) Experienced laboratory staff

Answer 1

Inadequate sample size, chance error, and bias can contribute to skewed or incorrect results in lab work.

Step-by-step explanation:

Inadequate sample size is one of the most common reasons for skewed or incorrect results when running lab work. If a sample size is too small, it may not be representative of the entire population, leading to unreliable conclusions. For example, crash testing cars or medical testing for rare conditions often require larger sample sizes to draw accurate conclusions. Another common reason for skewed results is chance error, which occurs when the sample is too small. The smaller the sample, the higher the chance that it does not fairly represent the whole population. To mitigate chance error, using a larger sample can provide more accurate results.

Bias is another factor that can contribute to skewed or incorrect results. Bias occurs when the sample is not selected randomly with respect to a variable in the study. In order to reduce bias, it is important to take care in choosing a randomized sample.