Exam 16: Generalizing a Sample's Findings to its Population and Testing Hypotheses About Percents and Means

If we make a greater than directional hypothesis and wish to be 95 percent confident in testing the hypothesis, a z score that supports the hypothesis will be a value ________ +1.64:

One option that researchers have when it comes to reporting confidence intervals to clients or readers of their marketing research reports is called the General Case.

Laurie Fulkerson was in charge of marketing research for Jeff Rogers, a candidate for governor. 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.between + or - 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 $200,000. 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?

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.

When an exact specification of a population parameter is made based on prior knowledge, assumptions, or intuition, this is a hypothesis.

To estimate a parameter, you need to know the sample statistic, which is either a mean or percentage derived from sample data.

Two types of statistical inference presented in Chapter 16 of your textbook are:

Parameter estimation is used to compare the sample statistic with what is believed to be the population value prior to undertaking the study.

Which of the following refers to a form of logic in which you make generalizations about an entire class based upon what you have observed about a small set of members of that class?

Hypothesis testing is a statistical procedure used to accept or reject the hypothesis, based on sample information.

There are five steps involved in computing confidence intervals for a mean or a percentage. One of those steps is to determine the sample statistic.

The proper command sequence in SPSS to generate a confidence interval for a mean is:

Which of the following occurs when someone uses something he or she has observed to see if it agrees with or refutes a belief about that topic?

A toy store owner hypothesizes, at the 95 percent level of confidence, that parents spend less than $100 on toys per visit to her store. A sample is taken and the hypothesis test shows a z value of -1.65. We:

If we are testing a hypothesis that a sample mean does not differ from a hypothesized value at the 99 percent level of confidence, and we arrive at a z value of 2.59, we would fail to support the hypothesis.

In hypothesis testing, the alternative hypothesis:

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

A toy store owner hypothesizes that parents spend less than $100 on toys per visit to her store. This is:

When referring to Greek parameters of the sample data, statisticians use:

Roman letters, such as s, p, and b, are typically used to represent: