Final answer:
To calculate composite scores in Excel, one would assign weights to factors, score each factor for locations, and sum these products. For the relative frequency, divide the event frequency by the total number of events. Accurate rounding and understanding of statistical measures like standard deviations are essential.
Step-by-step explanation:
To calculate the composite score for each location, you would assign weightings to different factors based on their importance, and then score each location based on these factors. The weightings and scores would be multiplied for each factor, and the results summed to create a composite score. It's vital to use the proper scale for scoring, and consistency in weightings to make a fair comparison.
For the relative frequency and cumulative relative frequency, you would take the frequency of an event and divide by the total number of events to calculate the former, and then progressively add the relative frequencies for the latter. Finally, round your answers to the required decimal places as per instructions.
In scenarios where student scores diverge significantly from the nominal scores, the differences are marked with a Δ. This could indicate where students’ perspectives differ from expected outcomes. When creating your own weighting scheme for re-scoring a matrix, consider the impact of different weights on the overall score.
Lastly, to find the best score compared to the respective class or calculate mean and standard deviation, typically using statistical software or a calculator would be needed. From this, to find the value two standard deviations above the mean, simply multiply the standard deviation by two and add it to the mean.