Step 1: In statistical quality control, the range \(R\) (largest minus smallest observation in a sample) and the standard deviation \(\sigma\) both measure the spread of a sample and can be used to build a control chart.
Step 2: For small sample sizes, typically \(n \le 10\), the sampling distributions of \(R\) and \(\sigma\) are known to move together closely, so a chart based on \(R\) gives essentially the same quality control signal as one based on \(\sigma\).
Step 3: Computing \(R\) only requires finding the maximum and minimum of the sample and subtracting, which is far quicker than computing a standard deviation that needs squaring deviations, summing, dividing and taking a square root. This also makes it economical in time and effort on the shop floor, where charts are updated frequently by relatively less technically trained staff.
Step 4: Since all three properties described in the options, namely the two measures fluctuating together for small samples, easy calculation of \(R\), and the resulting economy of the R-chart, are valid reasons, the correct choice is All of these.