ts there a ofference in long term vields between conservative and age.pdf

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ts there a ofference in long term vields between conservative and ageressive muthal funds? A randems sample of 57 conservative and 80 aggressive tunds looked at their minerhst annusi frthme rates over the past 10 years. (a) Which type of hypothesis test should be conducted? t-test for paires data two sample t-test one Broportion ztest one sample ptest (b) A 99% confoence interval was found to be (0.1%,9.5%). Can we doin a difference in the averape 10 year feturns? , since O is the interval, there is evidence the average returns are.

ts there a ofference in long term vields between conservative and ageressive muthal funds? A
randems sample of 57 conservative and 80 aggressive tunds looked at their minerhst annusi
frthme rates over the past 10 years. (a) Which type of hypothesis test should be conducted? t-test
for paires data two sample t-test one Broportion ztest one sample ptest (b) A 99% confoence
interval was found to be (0.1%,9.5%). Can we doin a difference in the averape 10 year feturns? ,
since O is the interval, there is evidence the average returns are

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Tree: inin A recursave tree data structure. Note the retationship between this class and Recursivelist; the only major difference is that rest has been replaced by _ subtrees to handte multiple recursive sub-parts. Hen \# wa Private Attributes =m= \# The item stored at this tree's root, or None if the tree is enpty. root: optional [Anyl \# The list of alt subtrees of this tree. - subtrees: List [Tree] \# mum Representation Invariants === \# - If self. root is None then self. subtrees is an enpty list. This setting of attributes represents an enpty Tree. Note: self. _ subtrees may be empty when selt._root is not None. This setting of attributes represents a tree consisting of just one node. def swap_down(setf) None: "*=Swap the root of this Tree with the frargest of its chitdren until the originat root's value is at a position where it's larger than or equal to all of its children. In the case of a tie, swap with the one that cones first in subtrees. >t= Tree(1, [1)tsswapdownt) print(t) \& No swaps are made 1 t._subtrees =[Tree(2,[1]. Tree (3, [1)] print(t) 1 3233> t. 5wapdown() ss print (t) in 1 swapped with 3 3 2 1 t-large =Tree(3,ITree(5,ITree(7,tTree(2,11), Tree(1, [1]) 1), 1) Tree (4, [1] 1]> print (t __targe) 3 7 2 1 mos targe-swap_down( ) print(t_large) =3 swapped with 5 , and then with 7 . \# The beton are methods given to you. Do NoT change these. def init_(self, root: Any, subtrees: List (Treel) None: wanitiatize a new Tree with the given root vatue and subtrees. If eroots is None, the tree is eapty. Preconditiont if sroot> is None, then ksubtreess is enpty. self, _root =root self.-subtrees = subtrees def is empty(self boolt nHinReturn True if this tree is enty. t1=Trec( None, [1)t1.15 _etopty() True t2=Tree(3,11) t2.1s_empty () Fatise winl return self,_root is None det _str (sett) str: \# The below are nethods given to you. Do NoT change these. def _init (self, root: Any, subtrees: List(TreeJ) Wonet "anitialize a new Tree with the given root value and subtrees. If eroot> is None, the tree is empty. Precondition: if is None, then esubtrees> is empty. ren self root = root self._subtrees: = subtrees def is empty (self) bool: wawpeturn True if this tree is empty. tI= Tree (None, []) t1,is_empty () True >t2=Tree(3, [1) > t2.is_empty ( ) False a return self. root is None def _str_ ( self f str: m*Return a string representation of this: tree. For each node, its iten is printed before any of its descendants' items. The output is nicely indented. You may find this method helpful for debugging. return self._str_indented () , steip( ) def str_indented(setf, depth: int =0) str: in*peturn an indented string representation of this-tree. The indentation level is: specified by the : return e tiset 5=1+ depth + str (set( root )+ ' ln3 for subtree in self . subtrees: * Note that the "depth' argument to the recursive catl is \# modified. 5+= subtree. _str_indented(depth + 1) returnis if nane _ingort doctest doctest. testmod (1) import python_ta.

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SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...

Activity 01 - Artificial Culture (1).pdf

Activity 01 - Artificial Culture (1).pdf

Activity 01 - Artificial Culture (1).pdf

Z Score,T Score, Percential Rank and Box Plot Graph

Z Score,T Score, Percential Rank and Box Plot Graph

Z Score,T Score, Percential Rank and Box Plot Graph

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes

This PowerPoint helps students to consider the concept of infinity.

This PowerPoint helps students to consider the concept of infinity.

This PowerPoint helps students to consider the concept of infinity.

ts there a ofference in long term vields between conservative and age.pdf

1. ts there a ofference in long term vields between conservative and ageressive muthal funds? A randems sample of 57 conservative and 80 aggressive tunds looked at their minerhst annusi frthme rates over the past 10 years. (a) Which type of hypothesis test should be conducted? t-test for paires data two sample t-test one Broportion ztest one sample ptest (b) A 99% confoence interval was found to be (0.1%,9.5%). Can we doin a difference in the averape 10 year feturns? , since O is the interval, there is evidence the average returns are