What is sampling error and can you give me an example?

What is sampling error and can you give me an example?

Sampling error is the difference between the sample statistic and the actual population parameter. For example, if you survey 100 people about their favorite ice cream flavor and find that 60% prefer chocolate, but the true population percentage is actually 50%, the 10% difference is the sampling error.

How can sampling error affect survey results?

Sampling error can lead to inaccurate conclusions about the population. If the sample is not representative, the results may mislead decision-making.

What are some ways to reduce sampling error?

To reduce sampling error, you can increase the sample size, use random sampling methods, and ensure the sample is representative of the population.

Can you explain the difference between sampling error and non-sampling error?

Certainly! Sampling error arises from the sample selection, while non-sampling error includes biases or mistakes in data collection, processing, or analysis.