use the concept of Z-score in statistics. The Z-score is a measure of how many standard deviations an element is from the mean. The formula for Z-score is: Z = (X - ) / where: X = value (57F in this case) = mean (59F in this case) = standard deviation (4F in this case) Substituting the values into the formula, we get: Z = (57 - 59) / 4 = -0.5 Now, we need to find the percentage of data that falls below this Z-score. We can use a Z-table for this, which gives the area to the left of a given Z-score under the standard normal curve. Looking up a Z-score of -0.5 in the Z-table, we find that approximately 0.3085 or 30.85% of the data falls below this score. So, approximately 30.85% of the days in January will have a temperature less than 57F in Orlando, Florida