Answer:
Explanation:
Mean is the ratio of sum of the dataset to the sample size. Mathematically:

Xi are the individual periods
N is the sample size

N = 10
Substitute

hence the mean of the samples is 1.292
For the standard deviation:


Substitute into the formula:

Hence the standard deviation is 0.2098