The margin of error for a poll is 6 percent. This means that:
We have a certain level of confidence that the sample statistic is within 6 percent of the population parameter.
Increasing the size of a simple random sample (or SRS) has what beneficial effect?
The margin of error is smaller than it is for smaller simple random samples.
A local planning commission is interested in finding out what proportion of its city’s residents are opposed to constructing a new baseball stadium in the downtown area. A random sample of 980 residents is obtained, and 46% of them are opposed to the stadium. In this sample, the margin of error is approximately
If a Gallup Poll surveys a national sample of 3000 people rather than 1500 people, the margin of error of the sample result from the 3000 people would be:
less than it would be for the 1500 people because the sample is now larger.
If we take many simple random samples from the same population, we expect:
the values of the statistic will vary from sample to sample.
An opinion poll asks a random sample of 1100 people in a large metropolitan area whether they support a tax increase in order to build a new football stadium; 65 percent of these 1100 people say “Yes.” The number 65 percent is a: