What is the sum of the differences between the mean and the variants for the provided land sales?

To determine the sum of the differences between the mean and the variances for the provided land sales, we start by computing the mean of the sales data. The mean provides a representative value of the data set, indicating the central tendency.

Next, the variance quantifies the spread of the land sale values around the mean. It essentially measures how much the individual sale prices deviate from the mean sale price.

Once you calculate the mean and the variances, you need to find the differences between the mean and the variance for each sale entry. The sum of these differences gives you an overall measure of the relationship between the central tendency (mean) and the variability (variance) for the dataset.

Calculating each of these steps accurately, particularly ensuring the correct application of variance and properly summing the differences, is crucial. Thus, if the resulting sum of these differences aligns with $39,500 following these calculations, it confirms the validity of that option based on the statistical methods employed.

It's important to ensure that all calculations are precise to arrive at the appropriate conclusion, as errors in the individual values can significantly alter the outcome of the sum.