Exam 16: Statistical Testing of Differences and Relationships

What determines the decision of whether to use a one-tailed test or a two-tailed test when testing hypotheses to make inferences about a population mean?

Which of the following is the first step in hypothesis testing?

The chi-square test is a test to determine whether the difference between two proportions is greater than would be expected because of sampling error.

Researchers very rarely know the population mean.

A market researcher is trying to determine whether males differ from females with regard to the following question: Do you drink soft drinks? Which of the following tests would be most appropriate?

In testing a hypothesis about means,if the sample size was less than 30,then the appropriate statistical test would be?

Suppose in our sample results we find that males average drinking five soft drinks per week,compared with six soft drinks per week for females.In the absence of additional analysis,what type of difference has been illustrated?

If the alternative hypothesis is supported,the researcher concludes there are significant differences in the phenomenon being measured.

A consultant has a random sample of 400 usable responses in a database.Included are the following questions: Household Income Category: (1) \ 0 to \ 24,999 (2) \ 25,000 to \ 49,999 (3) $\$ 50,000$ to $\$ 99,999$ (4) $\$ 100,000$ and over Average Weekly Soft Drink Consumption:ـ___________________ The consultant wants to determine if there are any statistically significant differences in average weekly soft drink consumption by income category.What statistical test should be applied to give the consultant the information he needs?

Distinguish between a Type I error and Type II error.What is the relationship between the two?

In a beer consumption study,a researcher makes an assumption that males will consume more beer per week than females; this can be stated in a:

In most statistical software packages,the t-test is often substituted for which test statistic?

ANOVA is a statistical technique that permits the researcher to determine whether the variability among or across the independent sample means is greater than expected because of sampling error.

The z-test would be appropriate for testing three or more proportions when the sample size is less than 30.

The exact probability of getting a computed test statistic that was largely due to chance is referred to as the______________.

In related samples,the measurement of the variable of interest has no influence on the measurement of the variable in another sample.

A Type I error involves rejecting the null hypothesis when it is,in fact,true.

The hypothesis of the status quo is typically referred to as the ______________ hypothesis.

In marketing research,the basic motive for making statistical inferences is to generalize from sample results to population characteristics.

In testing a hypothesis from a random sample involving three or more means,the appropriate test would be a one-way ANOVA.