Question

bias in surveys can lead to a systematic error that skews the data in a direction known as
a sample does not accurately represent the broader population, leading to sampling error.
the statistical measure that represents the middle value of a dataset when ordered is called the
when survey respondents who choose not to respond differ significantly from those who do, it introduces bias.
surveys often require the use of statistics to make inferences about a population based on sample data.

Explanation:

• Bias in surveys: The term for systematic error skewing data is "bias".
• Sample not representing population: A "non - representative" sample causes sampling error.
• Middle value of dataset: The "median" is the middle value when data is ordered.
• Non - respondent bias: When non - respondents differ from respondents, it's "non - response" bias.
• Statistics for population inferences: "Inferential" statistics are used to make inferences about a population from sample data.

Answer:

1. bias
2. non - representative
3. median
4. non - response
5. inferential