Answer:
Can i have brainliest
The second one
The third one
and the last ones
Step-by-step explanation:
The x values are opposite
and the y stay the same
Find and interpret the mean absolute deviation of the data. $4.6,8.5,7.2,6.6,5.1,6.2,8.1,10.3$4.6,8.5,7.2,6.6,5.1,6.2,8.1,10.3
trasher [3.6K]
Answer:
1.3845
Step-by-step explanation:
i used this formula in the screenshot
and you can also try using calculator websites
Answer:
$179.99
Step-by-step explanation:
Take total cost and multiply by the percent in decimal form
$199.99*0.10
=$19.99
Subtract the 10% from the original sum
$199.99-$19.99
=$179.99
Answer:
find the number that goes in betweem
Step-by-step explanation:
Answer:
Step-by-step explanation:
Heap Property: The associated priority satisfy the heap property. The (max) heap property requires for every node that the priority at a node is greater than the priority of its two children.
THEOREM: For any set S of key-value pairs, there is exactly one treap T containing the key-value
pairs in S which satisfies the treap properties.
Proof: The key k with the highest priority in S must be the root node, since otherwise the tree would not be in heap order. Then, to satisfy the property that the treap is ordered with respect to the nodes’ keys, all keys in S less than k must be in the left subtree, and all keys greater than k must be in the right subtree. Inductively, the two subtrees of k must be constructed in the same manner.
Now, if you are given a set of elements with keys and priorities, how would you build a treap
out of them? Take the element with the largest priority, make that the root. Then partition around
that root based on keys to find the elements in the right and left subtrees and recurse. What does
this remind you of?
This procedure is exactly the procedure you do for quicksort. There is a straightforward relationship between the analysis of quicksort and the height of a treap