A forest is divided into regions by a road and a stream. A wildlife researcher was curious if the number of deer living in each region corresponded to the total area of each region. They used drones to take overhead images and counted how many deer were in each region. The following table shows the proportion of total area for each region of the forest and how many deer were observed in each region along with a chi-square goodness-of-fit test. RegionABCD Land area distribution Observed deer Expected deer Components Assume that all conditions for inference were met and that the drone was equally likely to detect a deer's presence in any location. At the significance level, what should the wildlife researcher conclude about the distribution of deer relative to the area? Choose 1 answer: Choose 1 answer: (Choice A) There is sufficient evidence to conclude that the distribution of deer differs from the distribution of area. A There is sufficient evidence to conclude that the distribution of deer differs from the distribution of area. (Choice B) There's not enough evidence to conclude that the distribution of deer differs from the distribution of area. B There's not enough evidence to conclude that the distribution of deer differs from the distribution of area. (Choice C) There is sufficient evidence to conclude that the distribution of deer matches the distribution of area. C There is sufficient evidence to conclude that the distribution of deer matches the distribution of area. (Choice D) No conclusions can be made from this test, because one of the observed counts is too low for the calculations to be accurate. D No conclusions can be made from this test, because one of the observed counts is too low for the calculations to be accurate.