The range is the difference between the highest and the lowest value(see https://www.statisticshowto.com/probability-and-statistics/statistics-definitions/range-statistics/). In our case it is: "r=1.38-0.67=0.71".
The mean is(see https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php):
"\\bar{x}=\\frac{0.74+0.72+1.38+0.67+1.09+0.76+1.08+0.96+0.74+0.98+0.87}{11}\\approx0.9082\\,\\,W\/kg."
The variance is (https://www.sciencebuddies.org/science-fair-projects/science-fair/variance-and-standard-deviation):
"\\sigma^2=((0.74-0.9082)^2+(0.72-0.9082)^2+(1.38-0.9082)^2+(0.67-0.9082)^2+(1.09-0.9082)^2+(0.76-0.9082)^2+(1.08-0.9082)^2+(0.96-0.9082)^2+(0.74-0.9082)^2+(0.98-0.9082)^2+(0.87-0.9082)^2)\/11\\approx0.0423\\,\\,(W\/kg)^2."
The standard deviation is the square root of variance:
"\\sigma\\approx0.2056\\,\\,W\/kg".
In order to make any assumptions regarding the population of the cel phones, it is better to use bigger sample data. It is also important to know, whether any criterions were used, while making the data: e.g., whether all samples belong to the same company, etc.
Answer: 0.71; 0.0423; 0.2056
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