What are some examples of sampling errors?
Sampling errors occur when a sample does not accurately represent the population. For example, if a survey about a city's traffic patterns only includes responses from residents in affluent neighborhoods, it may not reflect the experiences of all residents.
Can you give me another example?
Sure! If a researcher conducts a poll about a new product but only surveys people at a specific store, the results may not represent the opinions of the entire target market.
What causes sampling errors?
Sampling errors can be caused by a non-representative sample, small sample size, or biased selection methods.
How can we reduce sampling errors?
To reduce sampling errors, ensure a larger and more diverse sample size, use random sampling methods, and stratify the sample to reflect different subgroups.
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