What is thedifference between a t -testand a correlation? A) The t -test assumes

Question

What is thedifference between a t-testand a correlation?

A) Thet-test assumes a normal distribution whereas thecorrelation assumes a nonnormal

distribution.

B) Thet-test is a description of the strength of therelationship between two different

variables whereasthe correlation is a comparison between the means of twogroups

on a singlevariable.

C) Thet-test should be used with large samples whereasthe correlation should be used

with smallsamples.

D) Thet-test is a comparison between the means of twogroups on a single variable

whereas thecorrelation is a description of the strength of the relationshipbetween

Explanation / Answer

a)Both depend on a normal assumption b)This is backwards. Correlation is a measure of thestrength of the relationship. c)t can be used for smaller samples. When n>30 we usea normal assumption. Correlation not resticted to smallsamples. d) This one is true.

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