Cellphone 0.38 ON 69'0 a. What is the probability that a person could give up her cell phone (to 0.64 b. What is the probability that a person who could give up her cell phorm e(sjewpap C. What is the probability that a person who could not give up her cell pl decimals)? d. Is the probability a person could give up television higher if the persom if the person could give up a cell phone?
Cellphone 0.38 ON 69'0 a. What is the probability that a person could give up her cell phone (to 0.64 b. What is the probability that a person who could give up her cell phorm e(sjewpap C. What is the probability that a person who could not give up her cell pl decimals)? d. Is the probability a person could give up television higher if the persom if the person could give up a cell phone?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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4 Assignment
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A 2018 Pew Research Center survey found that more Americans believe they could give up their telev
than could give up their cell phones (Pew Research website). Assume that the following table represen
the joint probabilities of Americans who could give up their television or cell phone.
Excel File: data04-37,xlsx
Could Give Up Television
ON
0.17
Yes
Could Give Up Yes
0.31
0.48
Cellphone
0.38
0.14
0.52
ON
0.31
69 0
a. What is the probability that a person could give up her cell phone (to 2 decimals)?
0.64
b. What is the probability that a person who could give up her cell phone could also give up television (te
decimals)?
C. What is the probability that a person who could not give up her cell phone could give up television (to 2
decimals)?
d. Is the probability a person could give up television higher if the person could not give up a cell phone on
if the person could give up a cell phone?
The probability a person could give up television if they could not give up a cellphone is
Select your answer -
than the probability a person could give up television if they could give up a
cellphone.
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