Exam 11: Population Estimates and Hypothesis Testing

With a probability sample there is always some sample error. Therefore, for example, it is more correct to say that there is "about 33% dissatisfaction in a population", versus that "33% of the population is dissatisfied" when reporting the sample finding to a client.

The act of estimating a population fact from a sample finding is called:

Which of the following may be used to estimate a "best," "pessimistic," and "optimistic," value of market potential?

Statisticians agree that when the sample is small, rather than the z value it is more proper to use the:

The logic of hypothesis testing is that if we assume that the hypothesized value is the population parameter, then, at the 95 percent level of confidence, if we took 100 separate samples, the z value for 95 of those samples would fall between + 1.96.

XL Data Analyst will calculate the confidence interval for a percentage with a 99% confidence level.

Generalization is a form of logic in which a(n) ______________ about an entire group is made based on some evidence about that group.

When computing standard error, if the sample size increases, then the standard error:

Forming a directional hypothesis means that we are still seeking a direction for the hypothesis.

A statement about the population parameter based on prior knowledge, assumptions, or intuition is called a(n):

Market potential can be determined by multiplying the population base by the percent willing to buy by the amount they are winning to spend.

Two types of statistical inference presented in Chapter 11 of your textbook are:

Which of the following is NOT one of the four (4) ingredients for hypothesis testing?

If a researcher wishes to have a 95 percent confidence interval, then a standard error value of _________ is entered into the formula.

Greek letters are used for sample findings and Roman letters are used for parameters.

A practical use of confidence intervals is that they may be used to forecast best, pessimistic, and optimistic market-potential estimates..

You test a directional hypothesis that consumers spend less than $12 a person to go to the movies. Your z value turns out to be -1.75 at a 95% confidence interval. Your data supports your hypothesis.

The z value associated with a 99 percent confidence interval is either a + 2.58.

The standard error is a measure of the variability in a sample based on the variability found in the population.

When estimating a population parameter for a categorical question we need to first calculate the sample mean.