Final answer:
The standard error of the mean is 0.2333.
Step-by-step explanation:
The standard error of the mean (SEM) measures the variation of sample means in relation to the population mean. It is calculated by dividing the population standard deviation by the square root of the sample size. In this case, the population standard deviation is 2.1 and the sample size is 81.
Therefore, the standard error of the mean can be calculated as:
SEM = population standard deviation / √sample size
Substituting the values:
SEM = 2.1 / √81 = 2.1 / 9 = 0.2333
So, the standard error of the mean in this experiment is 0.2333.