Question

Results of an experiment or survey are biased if:

1) The sample size is too small
2) The survey questions are leading
3) The experiment is not properly controlled
4) The data is manipulated
5) Cannot be fixed

Answer 1

Sampling bias occurs when a sample is not representative of the population being studied. It can be caused by a small sample size, non-random sampling, leading survey questions, lack of experimental control, or data manipulation.

Step-by-step explanation:

In statistics, a sampling bias is created when a sample is collected from a population and some members of the population are not as likely to be chosen as others. This can happen if the sample size is too small or if the sample is not selected randomly. Biases can also occur if the survey questions are leading or if the experiment is not properly controlled. Additionally, if the data is manipulated, it can result in biased results.