A pre-election study in the US wanted to check if Trump was going to win the presidential election in a particular state. They calculated a 95% confidence interval for the difference between the proportion of people in that state that would vote for Trump and those that would vote for Biden. They used pTrump - pBiden and got (-0.19, -0.1). What would this mean? Group of answer choices There seems to be evidence that Trump may win that state (he has the higher proportion of votes) There seems to be evidence that Biden may win that state (he has the higher proportion of votes) There does not seem to be a significant difference between the two candidates. We are 95% confident that Trump will have 19% of the votes, and Biden will have 10% of the votes. We are 95% confident that the proportion of those who will vote for Trump in that state is between 19% and 10% Their calculation is wrong. The confidence interval can't be negative