fone calls the function with [on]-corrcoef( [v1,v2]) then r is the 2x2 correlation matrix and p is a matrix of probabilities. The off diagonal element gives us the probability that the correlation is the result of chance. If we use real data and we get a strong correlation (ie that lots of broccoli makes you a giant) but the probability of such correlation is large (something like 0.5 or 50%) then the result is "ihsignificant", which means that a good statistician will through it away since it has a great chance to the the result of luck. If on the other hand the probability of this happening by chance is small (something like 0.05 or 5%) then the result is significant. In other words it is unlikely that we got it by chance and there must be some connection between broccoli and height. To answer this question write a script that creates random vectors vi and v2 using nandn repeatedly and observe the answers. Also vary the size of the vectors. You have to run the script many times. Which of the following statements is true. a. The probability is never below 0.5 for random vi and v2. b. The probability is never below 0.05 for random vi and v2 C. The probability is always 1 (100%) for random vectors vi and v2 since they are generated with candra d. The probability is between -1 and 1 uniformly distributed e. The probability is above 0.05 for random vi and vp about 95% of the time B (Ctrl)