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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Which of the following is NOT true about the standard error of a statistic?
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The standard error increases as the sample size(s) increases.
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The standard error can never be a negative number.
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The standard error is the estimated standard deviation of the sample distribution
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None of the above
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Explanation:
Detailed explanation-1: -Answer» D. The standard error increases as the sample size(s) increases.
Detailed explanation-2: -Standard error decreases when sample size increases – as the sample size gets closer to the true size of the population, the sample means cluster more and more around the true population mean.
Detailed explanation-3: -The term “standard error” is used to refer to the standard deviation of various sample statistics, such as the mean or median. For example, the “standard error of the mean” refers to the standard deviation of the distribution of sample means taken from a population.
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