Probability is the concept of finding the likelihood of something happening. For example, if you wanted to calculate the probability of flipping a coin on heads where tails and heads are equally likely to occur, you would take the number of outcomes with heads (1), and divide it by the total number of possible different outcomes (2). This would give you that the probability of flipping a coin on heads is 1/2. Statistics, on the other hand, refers to given data that shows a correlation between the outcomes and the probability. Statistics does not always correlate with probability. Going back to the fair coin flip, let’s say that the coin was flipped 100 times. The statistics would be how many heads were flipped and how many tails were flipped. There could be 100 different possibilities for the statistics (e.g. 1T99H,2T98H,3T97H...). While probability would tell you that you could expect 50 heads and 50 tails, statistics will vary, especially with a smaller sample size. For example, if we shrunk the # of flips to 2, probability would tell you to expect 1 tail and 1 head. However, there is a 1/2 chance that either there are 2 tails and no heads, or 2 heads and no tails.