STATISTICAL TECHNIQUES AND TOOLS
ANALYSIS OF VARIANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is the key difference between one-way ANOVA and a t-test?
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You can have more than 2 groups in ANOVA
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They are the same test just with different calculations
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T-tests split variance into within and between
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ANOVA is about the mean and t-test is about the variance
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Explanation:
Detailed explanation-1: -The only difference between one-way and two-way ANOVA is the number of independent variables. A one-way ANOVA has one independent variable, while a two-way ANOVA has two.
Detailed explanation-2: -Typically, a one-way ANOVA is used when you have three or more categorical, independent groups, but it can be used for just two groups (but an independent-samples t-test is more commonly used for two groups).
Detailed explanation-3: -Answer and Explanation: We should use ANOVA instead of several t-tests to evaluate the differences in the mean of three or more groups because every time, we conduct a t-test (between two groups) there is some chance that a Type I error is being made while doing the test.
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