Determine whether the following is an example of a sampling error or a non sampling error. 12% of all people are left handed. a researcher randomly selected 200 people and found that 16% of them were left handed. no mistakes were made in the data collection or data recording. the 4% difference is due to:
a) sampling error
b) non sampling error

A) Sampling error.

Step-by-step explanation:

Sampling error is an error in statistics that happens as a result of an analyst not selecting a sample that fully represents the whole population from a given data, the result from such process will not fully represent the truth about an entire population.

Sampling error is a mistake from the sampled value as against the true population value.

Types of sampling errors.

• Sample frame error.

•Population specification error.

•Selection error.

•Non response error.

Note: Sampling error can can be reduced when the size of sample to be observed is increased through selection of more subjects.

c

step-by-step explanation: