Author Question: Define one- and two-tailed univariate tests and describe when each is appropriate. Give an example ... (Read 7 times)

ishan · **on:** Jun 29, 2018

Define one- and two-tailed univariate tests and describe when each is appropriate. Give an example hypothesis that can be tested with each test.

Question 2

That is the purpose of corporate or institutional advertising?

heyhey123 · **Reply #1 on:** Jun 29, 2018

Answer to Question 1

A one-tailed univariate test is appropriate when the researcher has a directional hypothesis implying that an observed mean can only be greater than or less than a hypothesized value. Thus, only one of the tails of the bell-shaped normal curve is relevant. For example, the following hypothesis could be appropriately examined with a one-tailed test:

H1: The number of fast food restaurants within the 71201 zip code is greater than five.

A two-tailed test is one that tests for differences from the population mean that are either greater or less. Thus, the extreme values of the normal curve (or tails) on both the right and the left are considered. In practical terms, when a research question does not specify whether a difference should be greater than or less than, a two-tailed test is most appropriate. For example, the following hypothesis could be examined using a two-tailed test:

H2: The number of fast food restaurants within the 71201 zip code is not equal to five.

Answer to Question 2

Corporate advertising is an advertising message or advertising campaign that has the primary purpose of promoting the name, image, personnel, or reputation of a company.