To accurately evaluate the statements about the histogram, I'd need to see the histogram itself or its data. However, I can help you evaluate which type of statements might be true based on general characteristics of histograms.
-
At least 15 of Maria's runs were more than four miles each - This statement could be true if the bars representing runs over four miles in the histogram show a total of at least 15 runs.
-
The majority of Maria's runs were between five and six miles - This is true if the tallest bar in the histogram corresponds to the five to six miles interval and displays the highest count compared to other intervals.
-
The majority of Maria's runs were short, two-mile runs - This would be true if the two-mile interval has the highest count compared to other intervals.
-
More than half of Maria's runs were less than five miles - This statement would be true if the combined height of the bars representing runs less than five miles exceeds 50% of the total runs.
If you can provide some specific counts or intervals from the histogram, I can help you analyze the statements further. Alternatively, you could use the features in your question to check against the actual histogram data.