Explanation:

Sampling fluctuations refer to the variability that occurs in the values of a statistic when different random samples are selected from the same population. In other words, it is the variation that occurs due to chance in the values of a statistic from one sample to another.

The correct answer is option 'A', which states that sampling fluctuations are the variation in the values of a statistic. This is because a statistic is a numerical summary of a sample, such as the mean or standard deviation, while a parameter is a numerical summary of a population.

To further understand the concept of sampling fluctuations, the following points can be noted:

- Sampling fluctuations occur due to chance: When different random samples are selected from the same population, the values of a statistic will differ due to chance. This is because each sample will have different individuals or observations, and the values of the statistic will reflect these differences.

- Sampling fluctuations can be quantified: The amount of variability that occurs in the values of a statistic can be measured using statistical methods. For example, the standard error of the mean is a measure of the variability of sample means when different samples are selected from the same population.

- Sampling fluctuations decrease with sample size: As the sample size increases, the variability in the values of a statistic decreases. This is because larger samples are more representative of the population and are less likely to be affected by chance.

In conclusion, sampling fluctuations are the variation in the values of a statistic when different random samples are selected from the same population. They occur due to chance and can be quantified using statistical methods. As the sample size increases, the variability in the values of a statistic decreases.