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Ket [755]
3 years ago
11

Question 1 of 40

SAT
1 answer:
Rina8888 [55]3 years ago
8 0
<h3>Answer:  D)  4</h3>

===========================================================

Explanation:

The width of the confidence interval is 20-12 = 8 units. That cuts in half to get 8/2 = 4 which is the margin of error.

The center of the confidence interval is (12+20)/2 = 32/2 = 16. Add four onto this to get 16+4 = 20, which is the right endpoint. Subtract four from the center to get 16-4 = 12, which is the left endpoint.

Effectively, it's like saying "an archer aims for the value 16 on the number line, and the arrow could land as high as 20 or as low as 12".

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Answer:

Aren't we all

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Finish the song Ra Ra Rasputin there was a
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Answer:

This is the lyrics to Rasputin:

There lived a certain man in Russia long ago

He was big and strong, in his eyes a flaming glow

Most people looked at him with terror and with fear

But to Moscow chicks he was such a lovely dear

He could preach the bible like a preacher

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But he also was the kind of teacher

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There was a cat that really was gone

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It was a shame how he carried on

He ruled the Russian land and never mind the czar

But the cassock he danced really wunderbar

In all affairs of state he was the man to please

But he was real great when he had a girl to squeeze

For the queen he was no wheeler dealer

Though she'd heard the things he'd done

She believed he was a holy healer

Who would heal her son

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It was a shame how he carried on

But when his drinking and lusting and his hunger

For power became known to more and more people

The demands to do something about this outrageous

Man became louder and louder

This man's just got to go, declared his enemies

But the ladies begged, don't you try to do it, please

No doubt this Rasputin had lots of hidden charms

Though he was a brute they just fell into his arms

Then one night some men of higher standing

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Come to visit us they kept demanding

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Once you have your heap structure created, next you must use it as a backing structure to a priority queue. Develop a PriorityQu
saveliy_v [14]

Using the knowledge in computational language in python it is possible to write a code that Develop a PriorityQueue data structure in a file.

<h3>Writting the code in python:</h3>

<em>import sys</em>

<em>class Node:</em>

<em>def __init__(self,key):</em>

<em>self.left = None</em>

<em>self.right = None</em>

<em>self.val = key</em>

<em>self.parent = None</em>

<em>class MinHeap:</em>

<em>def __init__(self, maxsize):</em>

<em>self.maxsize = maxsize</em>

<em>self.size = 0</em>

<em>self.Heap = Node(-1 * sys.maxsize )</em>

<em>self.FRONT = self.Heap</em>

<em># A utility function to do inorder tree traversal</em>

<em>def isLeaf(self, node):</em>

<em>if node.left == None and node.right == Node:</em>

<em>return True</em>

<em>return False</em>

<em># Function to swap two nodes of the heap</em>

<em>def swap(self, node1, node2):</em>

<em>node1.data, node2.data = node2.data, node1.data</em>

<em># Function to heapify the node at pos</em>

<em>def minHeapify(self, node):</em>

<em># If the node is a non-leaf node and greater</em>

<em># than any of its child</em>

<em>if not self.isLeaf(node):</em>

<em>if (node.data > node.left.data or</em>

<em>node.data > node.right.data):</em>

<em># Swap with the left child and heapify</em>

<em># the left child</em>

<em>if node.left.data < node.right.data:</em>

<em>self.swap(node, node.left)</em>

<em>self.minHeapify(node.left)</em>

<em># Swap with the right child and heapify</em>

<em># the right child</em>

<em>else:</em>

<em>self.swap(node, node.right)</em>

<em>self.minHeapify(node.right)</em>

<em># Function to insert a node into the heap</em>

<em>def insert(self, element):</em>

<em>if self.size >= self.maxsize :</em>

<em>return</em>

<em>self.size+= 1</em>

<em>self.bst_insert(FRONT, element)</em>

<em>current = FRONT</em>

<em>while current.parent != None and current.data < current.parent.data:</em>

<em>self.swap(current, current.parent)</em>

<em>current = current.parent</em>

<em># Function to print the contents of the heap</em>

<em>def Print(self):</em>

<em>self.inorder()</em>

<em># Function to build the min heap using</em>

<em># the minHeapify function</em>

<em>def inorder(self, root):</em>

<em>if root:</em>

<em>inorder(root.left)</em>

<em>print(root.val)</em>

<em>inorder(root.right)</em>

<em>def bst_insert(self, root, node):</em>

<em>if root is None:</em>

<em>root = node</em>

<em>else:</em>

<em>root.next = node</em>

<em>self.FRONT = node</em>

<em># Driver Code</em>

<em>if __name__ == "__main__":</em>

<em>r = Node(50)</em>

<em>bst_insert(r,Node(30))</em>

<em>bst_insert(r,Node(20))</em>

<em>bst_insert(r,Node(40))</em>

<em>bst_insert(r,Node(70))</em>

<em>bst_insert(r,Node(60))</em>

<em>bst_insert(r,Node(80))</em>

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<em>print('The minHeap is ')</em>

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<em>minHeap.insert(3)</em>

<em>minHeap.insert(17)</em>

<em>minHeap.insert(10)</em>

<em>minHeap.insert(84)</em>

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<em>minHeap.insert(22)</em>

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<em>minHeap.minHeap()</em>

<em>minHeap.Print()</em>

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See more about python at brainly.com/question/13437928

#SPJ1

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See photo attached
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