Step 1 :Given data = [160, 45, 265, 350, 350, 45, 104, 296, 265, 109, 170, 480]
Step 2 :Calculate the mean of the data: \(\frac{160 + 45 + 265 + 350 + 350 + 45 + 104 + 296 + 265 + 109 + 170 + 480}{12} = 219.92\)
Step 3 :For each number in the data, subtract the mean and square the result. For example, for the first number: \((160 - 219.92)^2\)
Step 4 :Find the average of these squared differences. This is called the variance: \(\frac{\sum_{i=1}^{12} (x_i - 219.92)^2}{12} = 17029.41\)
Step 5 :The standard deviation is the square root of the variance: \(\sqrt{17029.41} = 130.50\)
Step 6 :Final Answer: The standard deviation of the data, rounded to the nearest hundredth, is \(\boxed{130.50}\)