PSTAT 160A PYTHON HOMEWORK

Posted 2021-12-01 xifua

PYTHON HOMEWORK 5 – DUE 5/15 AT 5:00 PM
PSTAT 160A – S19
Professor Hohn
Instructions: Please note that you must work by yourself ! You will submit two files on GauchoSpace:
(1) clear and concise explanations, graphics (if any), and results in PDF format (worth
40 points in total) and (2) your Python code in .py format (10 points). Note that if the grader
finds identical copies or very similar files, the grader cannot and will not grade them.
For Question #1, be sure to show all of your work! You may either (a) write at least a couple
sentences explaining your reasoning or (b) annotate your math work with brief explanations. Please
label any random variables or events that your use.
Background: The children’s game Chutes and Ladders is based on an ancient Indian game called
Snakes and Ladders (see https://en.wikipedia.org/wiki/Snakes_and_Ladders). The game is
played on a 100-square board. Each player has a token and takes turns rolling a six-sided die and
moving their token by the corresponding number of squares. If a player lands on a ladder, they
immediately move up the ladder to a higher-numbered square. If they move to a chute, or snake,
they drop down to a lower-numbered square. The finishing square 100 must be reached by an exact
roll of the die (or by landing on square 80 whose ladder climbs to the finish). The first player to
land on square 100 wins.
The game is a Markov chain since the player’s position only depends on their previous position and
the roll of the die. The chain has 101 states as the game starts will all players off the board (state
PSTAT 160A作业代写、代做PYTHON编程作业、PYTHON课程设计作业代写
1. (10 points) (Without Python) The board for a modified Snakes and Ladders game is shown
in Figure 1. The game is played with a tetrahedron (4-sided) die. Like the original, players
start off the board, and the finishing square 9 must be reached by an exact roll of the die. If
the die roll is too large, the player’s token goes toward the final square and reverses back again.
(For example, if a player requiring a 3 to win rolls a 5, the token moves forward three spaces,
then back two spaces.)
Figure 1: Modified Snakes and Ladders game board
(a) Find the expected length of the modified Snakes and Ladders game. That is, what is the
average number of plays/moves needed to reach the finish.
(b) Assume that your friend Chidi is on square 6. Find the probability that Chidi will find
himself on square 3 before finishing the game.
2. (30 points) (With Python) In this Python exercise, you will be estimating the average number
of plays/moves until the modified Snakes and Ladders game is finished and the probability that
a person starting at square 6 will find themselves on square 3 before finishing the game. Be
sure to annotate your code with short explanations of what you are doing (worth 10 points).
Suppose (as above) that we are playing Snakes and Ladders on a modified game board.
(a) Simulate playing 10,000 games. Compute the average number of moves until the game is
finished. Use the print function to print your answer. Be sure to label your results. For
example,
print(’The average number of moves before a game is finished is %s.’
% expectedNumberOfMoves)
(b) Simulate playing 10,000 games, but this time, start each game from square 6. Compute
the probability that a person starting at square 6 will find themselves on square 3 before
finishing the game. Use the print function to print your answer.
(c) Take a screenshot showing your code and your results together (e.g. side by side).
Python Code Hints
numpy.linalg.solve(A,b)
will solve the matrix equation Ax = b.
numpy.identity(n)
will give you the n × n identity matrix.
numpy.matrix
will return a matrix from an array-like object or from a string of data. For example,
a = numpy.matrix([[1, 2], [3, 4]])
will give you the matrix . It has certain special operators, such as * (matrix
multiplication) and ** (matrix power).
Change a matrix to a list via
nameOfMyMatrix.tolist()[0]
One way to make a bar graph is to use the library matplotlib.
matplotlib.pyplot.bar( x, height = y, align=’center’, alpha=0.5, color=’g’)
produces a bar graph with x-axis described by x and y axis described by y. Both x and y
are lists here.
matplotlib.pyplot.ylabel(’Label Me’)
creates a label for the y axis called Label Me.
Page 2
matplotlib.pyplot.title(’Title Me’)
creates a title for the graph called Title Me.
matplotlib.pyplot.xticks(x, listOfNames)
will label the x axis tick marks with a list of names (e.g. Port numbers).
matplotlib.pyplot.show()
shows the graph/plot.
numpy.random.choice( alist, p = alist_prob )
will pick one element from the set alist using the probability distribution alist prob.
When Python indexes a list, the index of the list starts at 0. That is, to access the first
entry of a list like a=[7, 8, 9], we need to write a[0].
alist = [1, 4, 7]
alist.append( 3 )
will add 3 to the end of your list. So, alist = [1, 4, 7, 3].
set()
creates a set – an unordered collections of unique elements.
aSet = set( [’Stark’, ’Lannister’, ’Greyjoy’] )
aSet.add( ’Baratheon’ )
will add Baratheon to the set aSet.
alist = [1, 4, 7, 1, 4, 4]
alist.count( 4 )
returns 3, the number of times 4 occurs in the list alist.
len (alist)
return the length (the number of items) of alist. alist can be a sequence (such as a list)
or a collection (like a set).
You may need to use a for loop or while statement in you code. See
http://www.openbookproject.net/books/bpp4awd/ch04.html for examples.
If you are using Python 2, you’ll need to import division from Python 3 so that it acts
like Python 3 when using the / symbol in your calculations. If you are using Python 2,
write at the top of your py file,
from __future__ import division
You’re importing the future!

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