From the given table NUMBER 1, set the probabilities defines the conditional probability distribution of Y given thatX = 31. The joint probability distribution of X and Y in table can be used to find2.> Marginal probability distribution of YMarginal probability distribution of XX = number of Bars of Signal StrengthP(Y)Y = response time(Nearest second)0.150.10.05?30.020.10.0520.020.030.20.010.020.25P(X)?Answer:

set the probabilities defines the conditional probability distribution of y given that x=3

Answered: 2. From the given table NUMBER 1, set…

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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Let n: sample size p: population proportion p^ : sample proportion. For help on calculating probabilities, check In this problem we want to check for normality. In other words, check to see if the "Central Limit Theorem" (CLT) holds, then calculate for the probability. n=147 p=13% a) Since n⋅p= ["", "", "", ""] ≥10 and n(1−p) = ["", "", "", ""] ≥10 , the CLT holds for the sample proportion p^. b) p^~ Normal (μp^ = ["", "", "", ""] , σp^ = ["", "", "", ""] ) c) P(p^<0.11) = ["", "", "", ""] A Pew Research report indicated that 88% of 18-27 years of age own a smartphone. A random sample of 120 people aged 18-27 is drawn. By the CLT, p^ the sample proportion of 18-27 year old that own smartphones is normally distributed (since it satisfies the two conditions of: n⋅p≥10andn⋅(1−p)≥10 Now answer the following questions: a) The μp^= ["", "", "", ""] and σp^= ["", "", "", ""] . b) P(0.82<p^<0.90) = ["", "", "",…
Suppose X is a random variable of uniform distribution between 1 and 7. Find E(X)
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