7a Simple Statistics (not in textbook) Generate a STL array or vector of 1000 floating point numbers in the range 0 to 1. Compute the mean, median, and standard deviation of these. You may use function objects and lambda expressions, and the STL algorithms for_each, accumulate, and sort. You may not use any of the built-in looping constructs while, do-while or for. Also you may not create and use any ordinary c++ functions. Hint: The following code can be used to populate your random array named arr auto arr_store = [](float& v) { v = rand()/float(RAND_MAX); }; for_each(arr.begin(),arr.end(),arr_store); Warning, You may need to know some details about lambda expressions that are not covered in the textbook. These will be covered in the weekly lecture and in a sample program in Sakai resources. Note: The theoretical value of the standard deviation for large N is sqrt(1.0/12) which about 0.289. You should be getting a value fairly close to this.
#17a Simple Statistics (not in textbook) Generate a STL array or vector of 1000 floating point numbers in the range 0 to 1. Compute the mean, median, and standard deviation of these. You may use function objects and lambda expressions, and the STL
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