A sampling error can be reduced by taking a larger sample size.

Sampling Error

The discrepancy or error that arises when a sample statistic does not perfectly represent the corresponding population parameter, due to the selection of a random subset.

Sample Size

The number of individual observations or data points collected and included in a sample from a larger population.

Acquire knowledge about the relationship between sample size and the exactness of sample estimates.
Elucidate the differences between sampling errors and nonsampling errors, and detail approaches for diminishing their occurrence.

Verified Answer

riley williamsMay 04, 2024

Final Answer :

True

Explanation :

When the sample size is increased, the probability of obtaining a representative sample also increases, which reduces the likelihood of sampling error.

Learning Objectives

Acquire knowledge about the relationship between sample size and the exactness of sample estimates.
Elucidate the differences between sampling errors and nonsampling errors, and detail approaches for diminishing their occurrence.

A sampling error can be reduced by taking a larger sample size.

Definitions

Learning Objectives

Learning Objectives

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