Asked by Tabitha Griffin on Jun 08, 2024

verifed

Verified

The concept of ______ refers to differences between statistics calculated from a sample and statistics pertaining to the population from which the sample is drawn.

A) sampling error
B) probability
C) random factors
D) statistical error

Sampling Error

Refers to the difference between the population parameter and the sample statistic due to the fact that the sample is not a perfect representation of the population.

Statistical Error

The difference between a measured or observed value and the true value, often arising from sampling or measurement limitations.

Random Factors

Variables in an experiment that are randomly varied to assess their incidental effects on the outcome, as opposed to systematically manipulated factors.

  • Understand the concept of sampling error and its impacts on research findings.
verifed

Verified Answer

SS
Sarah SalvadorJun 08, 2024
Final Answer :
A
Explanation :
Sampling error is the difference between statistics calculated from a sample and the actual characteristics of the population. It can occur due to random chance or biases in the sample selection. Probability (B) refers to the likelihood of an event occurring, while random factors (C) can include any unpredictable influences on the data. Statistical error (D) is a broader term that can include sampling error as well as other sources of error in statistical analysis.