METHODS OF DATA ANALYSIS
DECISION MAKING WITH HYPOTHESIS TESTING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Hypothesis
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Alternative Hypothesis
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Sample Hypothesis
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Null Hypothesis
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Detailed explanation-1: -A null hypothesis proposes or predicts that there is zero difference or no difference between the parameter and its assumed value. It is a proposition that undergoes verification to determine if it should be accepted or rejected in favour of an alternative proposition.
Detailed explanation-2: -A crucial step in null hypothesis testing is finding the likelihood of the sample result if the null hypothesis were true. This probability is called the p value .
Detailed explanation-3: -What is a null hypothesis? The null hypothesis is the claim that there’s no effect in the population. If the sample provides enough evidence against the claim that there’s no effect in the population (p ≤ ), then we can reject the null hypothesis. Otherwise, we fail to reject the null hypothesis.