METHODS OF DATA ANALYSIS
DECISION MAKING WITH HYPOTHESIS TESTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A hypothesis that states that there is no difference between two parameters
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Null
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Alternative
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Type I error
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Type II error
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Explanation:
Detailed explanation-1: -A null hypothesis refers to a hypothesis that states that there is no relationship between two population parameters.
Detailed explanation-2: -The hypotheses for a difference in two population means are similar to those for a difference in two population proportions. The null hypothesis, H0, is again a statement of “no effect” or “no difference.”
Detailed explanation-3: -This hypothesis is either rejected or not rejected based on the viability of the given population or sample. In other words, the null hypothesis is a hypothesis in which the sample observations results from the chance. It is said to be a statement in which the surveyors wants to examine the data. It is denoted by H0.
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