Answer :
The data is a sample of exam scores best visualized using a histogram. Histograms help indicate the distribution of scores and confidence levels describe the reliability of statistics drawn from sample data.
The data you provided represents a sample of exam scores from a real estate course. To describe this data, we could use a histogram, which is a type of graph that shows the distribution of your data points across different ranges of scores (often called bins or intervals). Concepts such as the 95 percent confidence level and 90 percent confidence level are statistical methods used to estimate the true population mean from a sample, indicating that we expect the true average score to be between certain values with a respective 95% or 90% certainty.
For the given exam scores, the histogram would group scores into bins such as 60-69, 70-79, etc. From your data, most scores appear to be in the 70-79 range, implying that most students scored a 'C' if we were to assign letter grades based on those scores. If you wanted to predict a final exam score based on a score from a third exam, you'd use a regression equation to estimate it, as done in the example provided.
