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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using a small level of significance
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using a large level of significance
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obtaining data with a small p-value
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obtaining data with a low test statistic
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Detailed explanation-1: -C )Explanation: It is known that if the P-value is less than the level of significance, the null hypothesis gets rejected. Hence, it can be said that obtaining a small P-value would give the strong evidence against the null hypothesis because smaller P-value will lead to reject the null hypothesis.
Detailed explanation-2: -One of the most commonly used p-value is 0.05. If the calculated p-value turns out to be less than 0.05, the null hypothesis is considered to be false, or nullified (hence the name null hypothesis). And if the value is greater than 0.05, the null hypothesis is considered to be true.
Detailed explanation-3: -The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H 0) of a study question is true – the definition of ‘extreme’ depends on how the hypothesis is being tested.