When constructing a confidence interval, the "margin of error" means that if there is no bias:
A) every sample taken will come at least this close to the truth.
B) about half of the samples taken will come at least this close to the truth.
C) about 95 percent of all samples taken will come at least this close to the truth.
D) the sampling method is biased. Otherwise, the poll would always give the correct answer.
E) there are serious nonsampling errors. Otherwise, the poll would always give the correct answer.

Question

Quizplus · Accepted Answer

The margin of error in a confidence interval is a measure of how much the sample mean or proportion is expected to vary from the population mean or proportion. Generally, a 95% confidence interval is used, which means that if the exact same population were sampled many times, 95% of the resulting confidence intervals would contain the true population mean or proportion. Therefore, option C is the correct choice.

When Constructing a Confidence Interval, the "Margin of Error" Means