Exam 11: Population Estimates and Hypothesis Testing

Intuitive testing is another name for hypothesis testing.

Laurie Fulkerson was in charge of marketing research for Jeff Rogers, a candidate for mayor. No research had been undertaken as it was very early in the campaign. The consensus was that Jeff and his opponent, Elvis Dean, were very close in voter preference. Laurie was negotiating with the research firm that was going to do a survey. She told the project director that she wanted to estimate the percentage of registered voters who would vote for each candidate if the election were to be held at the time of the survey. She also said she wanted to be very confident (99 percent) that the estimate was very accurate, that is, between + 1 percent. The project director quickly estimated that the sample size would be very large and told Laurie that she estimated the study would cost more than $50,000. Shocked at the price, Laurie asked the project director to cut the sample size down to one-fourth of what she estimated. What should the project director tell Laurie?

If we make a hypothesis and wish to be 95 percent confident in testing the hypothesis, a z score that supports the hypothesis will fall ________ of + 1.96:

With a hypothesis test, if the z value falls outside the acceptance region than we say there is no support for alternative hypothesis.

The proper command sequence in XL Data Analyst to generate a confidence interval for a mean is:

In parameter estimation, a value such as the population mean is estimated based on a sample's mean and its size.

Inference is a form of logic in which you make a generalization about a small set of members of a group based upon complete knowledge about that entire group.

When the sample size is the same and variability is the same, a 99 percent confidence interval will be narrower than a 95 percent confidence interval.

The standard error will increase if the variation is increased.

The sample finding and hypothesized population parameter are compared because in a hypothesis test, one tests the __________ hypothesis, a formal statement that there is no difference.

Which of the following is an example of a directional hypothesis?

Which of the following refers to a set of procedures in which the sample size and sample statistics are used to make estimates of population parameters?

Another name for a directional hypothesis test is a(n):

All other variables held constant, a 95 percent confidence interval will give us a(n) ________ range versus a 99 percent confidence interval.

When computing standard error, if the variability increases, then the standard error:

The null hypothesis refers to doing just about anything to make a decision other than hypothesis testing.

Which of the following refers to a statistical procedure used to accept or reject some exact specification as to what the population parameter is based on sample information?

Generalization procedures are direct linkages between probability sample design and data analysis.

In hypothesis testing, given the standard error of the percentage (or mean) remains constant, the closer the hypothesized value is to the sample statistic:

With all hypothesis tests, the sample is the only source of current information about the population.