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What is the relationship between standard deviation and standard error?The standard error of the sample mean depends on both the standard deviation and the sample size, by the simple relation SE = SD/√(sample size).
What is the difference between standard error and standard error of the mean?The standard error is a statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation. In statistics, a sample mean deviates from the actual mean of a population; this deviation is the standard error of the mean.
What is the difference between standard deviation and variance quizlet?The standard deviation is the positive square root of a real number (the variance) and thus the standard deviation itself cannot be negative either. The variance is the square of the standard deviation.
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