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This question asks about complexity analysis and big-oh notation. Please consider the following C# method. public double ComputeAverage(double[] array) { double sum = 0; for

This question asks about complexity analysis and big-oh notation. Please consider the following C# method. public double ComputeAverage(double[] array) { double sum = 0; for (int i = 0; i < array.Length; i++) { sum += array[i]; } return sum / array.Length; } Please assume that each assignment, addition, division, comparison, and return statement is one elementary operation, and nothing else is an elementary operation. a) Under the above assumption, please determine the number T(n) of elementary operations executed in the worst case by the ComputeAverage() method, as a function of the array length n. Please show your working. b) What is the worst-case time complexity in big-oh notation of the ComputeAverage() method? c) What, if any, is the difference between the best-case, average, and worst-case for the execution time of the ComputeAverage() method? What is the best-case and average time complexity?

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