Final answer:
Without specific data, it is not possible to determine the probability that a registered voter voted in an election from the provided options. The concept of a confidence interval is crucial for understanding population parameters, and a 90 percent confidence interval indicates where the true population parameter is likely to fall.
Step-by-step explanation:
The question is asking to identify the probability that a registered voter has voted in an election. To answer this, one would typically need to have access to data regarding the number of registered voters and the number who actually voted.
However, since no specific data is provided within the question, it is not possible to give a definitive answer. In fact, none of the probabilities listed (A) 0.872, (B) 0.114, (C) 0.926, (D) 0.128 can be confirmed without more information.
Understanding confidence intervals is essential in statistics. A confidence interval provides a range within which we can expect the true population parameter (in this case, the proportion of students who are registered voters) to lie, given a certain level of confidence.
A 90 percent confidence interval means that if we were to take many random samples and construct confidence intervals in the same way, we would expect 90 percent of those intervals to contain the true population parameter.