If a sample is large, it is difficult to observe the various characteristics or to compute statistics such as mean and _____

If a sample is large, it is difficult to observe the various characteristics or to compute statistics such as mean and standard deviation.

Explanation

When working with a large sample size, understanding the overall distribution of data can become quite complex. While descriptive statistics like the mean provide a measure of central tendency, the standard deviation is crucial for assessing the spread or dispersion of the data around the mean.

In a large dataset, it is often challenging to evaluate each individual data point, which can mask underlying trends or outliers. Moreover, computational limitations may arise during the analysis phase, making it harder to perform calculations efficiently or to visualize the data adequately. Consequently, while it is feasible to calculate the mean and standard deviation mathematically, the interpretations can become more complicated and necessitate a more in-depth understanding of statistical methods and visual representation techniques to draw meaningful insights from such data.

Thus, the mean and standard deviation are fundamental metrics in statistics that provide insight into data distribution, emphasizing their importance in analyzing large samples.