To ensure that the mean was equal across all data points, we added our desired scoring mean (between 0 and 10) to the T-Score to create an adjusted T-Score. Calculating the T-Score: We used a T-Score calculation to convert the Z-Score to a 0-100 scale by multiplying the Z-Score by 10.We then subtracted the mean from the company’s rating and divided it by the standard deviation to produce the Z-Score. To determine the Z-Score for each third-party rating of a company, we calculated the mean of the ratings across all companies evaluated by that third-party source. The Z-Score is negative when the data point is below the mean and positive when it's above the mean a Z-Score of 0 means it's equal to the mean. Calculating the Z-Score: The Z-Score represents a data point's relation to the mean measurement of the data set.