STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A hypothesis test tests the null hypothesis Ho:
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increase
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decrease
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remain the same
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be doubled
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Explanation:
Detailed explanation-1: -The null hypothesis in ANOVA is always that there is no difference in means. The research or alternative hypothesis is always that the means are not all equal and is usually written in words rather than in mathematical symbols.
Detailed explanation-2: -The probability of committing a type I error (rejecting the null hypothesis when it is actually true) is called (alpha) the other name for this is the level of statistical significance.
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