Respuesta :
The standard deviation of the sampling distribution of the sample mean is also called standard error of the mean.
For the given question,
Standard error is a mathematical tool used in statistics to measure variability. The standard error of the mean (SEM) measures how much discrepancy is likely in a sample's mean compared with the population mean.The SEM takes the SD and divides it by the square root of the sample size. The SEM will always be smaller than the SD.
The standard error of the mean indicates how different the population mean is likely to be from a sample mean. You can decrease the standard error by increasing the sample size.
Standard error of the mean and standard deviation are both measures of variability used to summarize sets of data. It helps you estimate how well your sample data represents the whole population by measuring the accuracy with which the sample data represents a population using standard deviation.
Hence we can conclude that the standard deviation of the sampling distribution of the sample mean is also called standard error of the mean.
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