Suppose we collected data on severity of the crash, split the data above into two tables: severe and not severe, and then calculated the probabilities below. Severe: P(Airbags|Injured)=0.4 P(No Airbags|Injured)=0.55 P(Injured|Airbags)=0.63 P(Injured|No Airbags)=0.85 Not severe: P(Airbags|Injured) = 0.04 P(No Airbags|Injured) = 0.65 P(Injured|Airbags) = 0.21 P(Injured|No Airbags) = 0.32 Select all of the following that apply. Group of answer choices Simpson's Paradox is likely occurring. Simpson's Paradox is not likely occurring. After splitting the data by the potential confounding variable, we saw that the probability of being injured given that the airbags deployed was less than the probability of being injured given that the airbags did not deploy. After splitting the data by the potential confounding variable, we saw that the probability of being injured given that the airbags deployed was greater than the probability of being injured given that the airbags did not deploy. We initially observed that the probability of being injured given that the airbags deployed was less than the probability of being injured given that the airbags did not deploy. We initially observed that the probability of being injured given that the airbags deployed was greater than the probability of being injured given that the airbags did not deploy