The difference between the values of “Parameter” and “Statistics” is called as:

Correct option is C

The correct answer is (c), Sampling Error.
The difference between the values of "Parameter" (a characteristic of a population) and "Statistics" (a characteristic of a sample) is called as Sampling Error. Sampling error refers to the discrepancy that may occur between a statistic obtained from a sample and the true parameter value of the population from which the sample is drawn. This error arises because the sample may not perfectly represent the entire population, despite the use of random sampling techniques. Sampling error is a fundamental concept in statistics that highlights the importance of understanding and minimizing differences between sample estimates and actual population characteristics to improve the accuracy of research findings.
Information Booster:
• Type I Error: Occurs when a true null hypothesis is incorrectly rejected.
• Type II Error: Happens when a false null hypothesis fails to be rejected.
• Error in Calculation: Refers to mistakes made in the mathematical processes used to compute statistics, which is not directly related to the theoretical distinctions between population parameters and sample statistics.