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How does a one-way ANOVA differ from an independent samples t-test?

How does a one-way ANOVA differ from an independent samples t-test?

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Expert Solution

difference between the sample T-test and one way Anova:-

T-test is directed when we need to look at the means for two groups and analyze any distinction among that. While one way Anova is a strategy which is connected while analyzing downright factors effect. This test is connected if there should be an occurrence of in excess of two groups.

Sample T-test is predominantly utilized when an random assignment is given and there are just two, not more than two, sets to think about. While one way Anova is connected if there should arise an occurrence of in excess of two gatherings.

The essential suspicion while conducting T-test is that the populace information to be gathered ought to be ordinarily circulated and the populace ought to have break even with difference. While if there should arise an occurrence of one way Anova, the suspicion is that each example which is to be utilized is chosen independently are arbitrary. The second one is that the populace is ordinary with equivalent standard deviation.

milcah answered 3 months ago
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