Define One- and Two-Tailed Univariate Tests and Describe When Each

Question

Examlex · Accepted Answer

The Answer is 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.

Define One- and Two-Tailed Univariate Tests and Describe When Each

Essay

Correct Answer:
Verified

Define One- and Two-Tailed Univariate Tests and Describe When Each

Essay

Correct Answer:VerifiedShow Answer

Correct Answer:
Verified