Create all possible outcomes (max + min) / 2;Checkpoint 4: Find the standard deviation of the array. s =n-1Checkpoint 5: Find the mode by using a separate bucket array to track how many times...

Create all possible outcomes

(max + min) / 2; Checkpoint 4: Find the standard deviation of the array. s = n-1 Checkpoint 5: Find the mode by using a separate bucket array to track how many times each value appears. Checkpoint 6: Before calculating the median, we must manipulate the array. You want to use the Bubble Sort Algorithm to sort the numbers in ascending order. Checkpoint 7: Use the sorted array to calculate the median. Note: The values are pseudorandom. The values shown in the example output are the values with the default seed in C++. To randomize, seed the RNG based on the time. Include and use the command below in main before using rand(). srand( time( e ) ); "/>
Extracted text: Checkpoint 1: Create an array and initialize all the elements to 0. Write a loop that will display cach elements position and value. That is show "my_arrayf3] = 0" for each element as output where 3 is the 4th clement in the array and 0 is value of that element. Now assign random values to cach element. You can use the function rand() which will return an integer. This function will return a number between 0 and RAND MAX = 32767. You can mod the value retumed by rand() by 16 to fit the range 0 to 15. For debugging, the seed is the same until you change it. This means all the output numbers will be the same as in the sample output. Checkpoint 2: We want to calculate some base statistics for the array. You can access each element of the array by using "my array[i]" where i is the index of the array. You may use a loop to run through each index to cover the entire array. We will start finding statistics for this array by finding the maximum value, minimum value, and sum of all values in the array. Checkpoint 3: Using the data from the previous checkpoint, find the range (highest- lowest), midrange (halfway between the maximum and minimum), and the mean of the aray. Set your size to 3 to make sure you are getting float values when needed for mean and midrange. You can cast an integer to a float using either of the following methods. mean = (float) sum / SIZE; midrange = static_cast (max + min) / 2; Checkpoint 4: Find the standard deviation of the array. s = n-1 Checkpoint 5: Find the mode by using a separate bucket array to track how many times each value appears. Checkpoint 6: Before calculating the median, we must manipulate the array. You want to use the Bubble Sort Algorithm to sort the numbers in ascending order. Checkpoint 7: Use the sorted array to calculate the median. Note: The values are pseudorandom. The values shown in the example output are the values with the default seed in C++. To randomize, seed the RNG based on the time. Include and use the command below in main before using rand(). srand( time( e ) );