4.31. Each night different meteorologists give us the probability that it will rain the next day. To judge how well these people predict, we will score each of them as follows: If a meteorologist says that it will rain with probability p, then he or she will receive a score of 1 − ( 1 − p ) 2 if it. does rain 1 − p 2 if it does not rain We will then keep track of scores over a certain time span and conclude that the meteorologist with the highest average score is the best predictor of weather. Suppose now that a given meteorologist is aware of our scoring mechanism and wants to maximize his or her expected score. If this person truly believes that it will rain tomorrow with probability p* what value of p should he or she assert so as to maximize the expected score?
4.31. Each night different meteorologists give us the probability that it will rain the next day. To judge how well these people predict, we will score each of them as follows: If a meteorologist says that it will rain with probability p, then he or she will receive a score of 1 − ( 1 − p ) 2 if it. does rain 1 − p 2 if it does not rain We will then keep track of scores over a certain time span and conclude that the meteorologist with the highest average score is the best predictor of weather. Suppose now that a given meteorologist is aware of our scoring mechanism and wants to maximize his or her expected score. If this person truly believes that it will rain tomorrow with probability p* what value of p should he or she assert so as to maximize the expected score?
Solution Summary: The author explains the value of p that maximizes the expected score.
4.31. Each night different meteorologists give us the probability that it will rain the next day. To judge how well these people predict, we will score each of them as follows: If a meteorologist says that it will rain with probability p, then he or she will receive a score of
1
−
(
1
−
p
)
2
if it. does rain
1
−
p
2
if it does not rain We will then keep track of scores over a certain time span and conclude that the meteorologist with the highest average score is the best predictor of weather. Suppose now that a given meteorologist is aware of our scoring mechanism and wants to maximize his or her expected score. If this person truly believes that it will rain tomorrow with probability p* what value of p should he or she assert so as to maximize the expected score?
At the beginning of each semester, students at the University of Minnesota receive one prepaid copy card
that allows them to print from the copiers and printers on campus. The amount of money remaining on the
card can be modeled by a linear equation where A represents how much remains on the card (in dollars)
and p represents the number of pages that the student has printed. The graph of this linear equation is
given below.
100
90
80
70
60
50
40
30
20
10
0
A = Amount on Card ($)
0
200
400
600
800 1000 1200 1400 1600
p = Number of Pages Printed
What information does the vertical intercept tell you (represent) for this problem? Be sure to include
specific details in your answer -- your answer should have both quantitative and qualitative data to
describe the answer in terms of the question.
Data management no 2 thanks
G12 Data Management please help on the first question no 1 below
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License