How does increasing sample size impact measurement precision?

How does increasing sample size impact measurement precision?

• A. It has no effect on measurement precision
• B. It typically decreases measurement precision
• C. It generally increases measurement precision
• D. It always introduces measurement bias

Answer: (C)

Increasing sample size generally increases measurement precision because a larger sample provides more information about the population being studied. When the sample size is larger, the effects of random variation are minimized, leading to more stable and reliable estimates. As a result, the confidence intervals around the estimated values become narrower, which reflects greater precision. With a sufficient sample size, any anomalies or outliers are less likely to skew the data significantly, allowing researchers to achieve a clearer picture of the true characteristics of the population. This enhanced quality of data resulting from an increased sample size is crucial for drawing more accurate conclusions and making more informed decisions based on the measurements obtained.

Increasing sample size generally increases measurement precision because a larger sample provides more information about the population being studied. When the sample size is larger, the effects of random variation are minimized, leading to more stable and reliable estimates. As a result, the confidence intervals around the estimated values become narrower, which reflects greater precision.

With a sufficient sample size, any anomalies or outliers are less likely to skew the data significantly, allowing researchers to achieve a clearer picture of the true characteristics of the population. This enhanced quality of data resulting from an increased sample size is crucial for drawing more accurate conclusions and making more informed decisions based on the measurements obtained.