METHODS OF DATA ANALYSIS
PARAMETRIC AND NON PARAMETRIC TESTS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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population parameters.
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sample parameters.
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sample statistics.
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it depends-sometimes population parameters and sometimes sample statistics.
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Detailed explanation-1: -The null hypothesis is a statement about the value of a population parameter, such as the population mean (µ) or the population proportion (p). It contains the condition of equality and is denoted as H0 (H-naught). The alternative hypothesis is the claim to be tested, the opposite of the null hypothesis.
Detailed explanation-2: -Answer and Explanation: Hypotheses are statements always made about population parameters. So, null and alternative hypotheses are statements about population parameters, which insinuates that the indicated statement is false as they can’t be about sample statistics.
Detailed explanation-3: -The null hypothesis is a hypothesis that the population mean equals a specific value. The alternative hypothesis reflects our claim. The alternative hypothesis says the population mean is “greater than” or “less than” or “not equal to” the value we assume is true in the null hypothesis.
Detailed explanation-4: -A hypothesis, in statistics, is a statement about a population parameter, where this statement typically is represented by some specific numerical value. In testing a hypothesis, we use a method where we gather data in an effort to gather evidence about the hypothesis.