Final answer:
The median number of cases from a histogram can be determined by finding the bin where half of the neighborhoods and cities fall below and the other half above. Without the actual histogram, we cannot confidently provide the median value.
Step-by-step explanation:
The histogram in question displays the distribution of confirmed COVID cases across various neighborhoods and cities in L.A. County on November 2. Since the histogram represents the frequency distribution of the data, and we know the median is the middle value when we order all cases, we want to find the number of cases that splits our data set into two equal halves.
To estimate the median number of cases from a histogram, we would typically look for the middlemost bin. Given that the bin widths are 200 cases wide, we would search for the bin where half of the 333 neighborhoods and cities fall below and half above this range. Without the actual histogram, we cannot see this distribution directly to provide a precise median value, hence we cannot specify whether the answer is 200 cases, 400 cases, 600 cases, or 800 cases. We would typically find the bin that contains the 167th (half of 333, rounded up to the nearest whole number) data point and use the range it covers to provide our best estimate for the median value.