The range of a set of data is the difference between the highest and lowest values in the set.
The variance (σ2) is a measure of how far each value in the data set is from the mean. Here is how it is defined:
"mean=(" 0.74+0.72+1.38+0.67+1.09+0.76+1.08+0.96+0.74+0.98+0.87)/11=0.908
"variance(=((0.74-0.908)^2+(0.72-0.908)^2+(1.38-0.908)^2+(0.67-0.908)^2+(1.09-0.908)^2+(0.76-0.908)^2+(1.08-0.908)^2+(0.96-0.908)^2+(0.74-0.908)^2+(0.98-0.908)^2+(0.87-0.908)^2)\/11=0.04228W^2\/kg^2"
The standard deviation (σ) is simply the (positive) square root of the variance.
"\\sigma= \\sqrt{\\smash[b]{variance}}=\\sqrt{\\smash[b]{0.04228}}=0.206W\/kg"
If one of each model is measured for radiation and the results are used to find the measures of variation, are the results typical of the population of cell phones that are in use? -NO
The results for the measures of variation is not typical of the population of cell phones that are in use because some models of cell phones will have a longer market share than others. Measures from different models should be weighted according to their size in population
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