Answer:
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Explanation:
Normal or random variations that are considered part of operating the system at its current capability are <u> c. common cause variations.</u>
Explanation:
Common cause variation is fluctuation caused by unknown factors resulting in a steady but random distribution of output around the average of the data.
Common-cause variation is the natural or expected variation in a process.
Common-cause variation is characterised by:
- Phenomena constantly active within the system
- Variation predictable probabilistically
- Irregular variation within a historical experience base
It is a measure of the process potential, or how well the process can perform when special cause variation removed.
Common cause variation arises from external sources that are not inherent in the process and is where statistical quality control methods are most useful.
Statistical process control charts are used when trying to monitor and control 5- and 6-sigma quality levels.
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Answer:
Each time you insert a new node, call the function to adjust the sum.
This method has to be called each time we insert new node to the tree since the sum at all the
parent nodes from the newly inserted node changes when we insert the node.
// toSumTree method will convert the tree into sum tree.
int toSumTree(struct node *node)
{
if(node == NULL)
return 0;
// Store the old value
int old_val = node->data;
// Recursively call for left and right subtrees and store the sum as new value of this node
node->data = toSumTree(node->left) + toSumTree(node->right);
// Return the sum of values of nodes in left and right subtrees and
// old_value of this node
return node->data + old_val;
}
This has the complexity of O(n).
Explanation:
