Q22. In a computer network a virus is spreading from machine to machine. Each week, the proportion of uninfected computers that remain uninfected is 0.75 with the rest becoming infected. Meanwhile, 0.45 of the computers that are infected are restored and become uninfected with the rest remaining infected. Suppose 0.80 of the network is currently uninfected. a A B Using the probabilities and states given, what proportion of the network will be infected the next week? (Enter numerical value only. Round the percentage to 3 decimal places)

Q22. In a computer network a virus is spreading from machine to machine. Each week, the proportion of uninfected computers that remain uninfected is 0.75 with the rest becoming infected. Meanwhile, 0.45 of the computers that are infected are restored and become uninfected with the rest remaining infected. Suppose 0.80 of the network is currently uninfected. a A B Using the probabilities and states given, what proportion of the network will be infected the next week? (Enter numerical value only. Round the percentage to 3 decimal places)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

A chip company has two manufacturing plants. Plant A produces 40percent% of the chipsand Plant B produces 60percent% of the chips produced by the company. The company knows that 2percent% of the chips produced by plant A are defective and 1percent% of the chips produced by plant B are defective. If a randomly chosen chip produced by the company is defective, what is the likelihood that the chip came from plant A? a. 0.02×.4/(.02×.4)+(.01×.6) b. 0.01×.6/(.02×.4)+(.01×.6) c. 0.02×.6/(.02×.6)+(.01×.4) d. 0.01×.4/(.02×.6)+(.01×.4)
The chaper is Probability.
c) In a call center with call queueing the number of operators is 60, and the applied traffic intensity is 58E, and the mean service time for customer is 6 mins. i) Use the Heavy Traffic formulas to estimate the probability that any customer has to wait. ii) How can we act to reduce the probability that any customer has to wait? What are the advantages and disadvantages of taking this action?
Let X and Y be two binary, discrete random variables with the following joint probability mass functions. (a) Compute P(X = 0]Y = 1). (b) Show that X and Y are not statistically independent. P(X = 0, y = 1) = P(X = 1, Y = 0) = 3/8 P(X = 0, y = 0) = P(X = 1, Y = 1) = 1/8
can you solve the last point question 2 C please for making type I error
Q.2) A communication source emits from three states the messages AB, BC and CA. The transitional probabilities are 0.6 0.1 0.3 0.25 0.5 0.25 0.375 0.125 0.5 If the probabilities of the source emitting from states 2 and 3 are equal and the probability of the state 1 is double of the probability of the state 3, find the codes for all messages that consist of four symbols per message and the efficiency using Fano code.
1. Suppose a manufacturer produces two types of products, A and B. The probability that a product is defective is 0.05 for product A and 0.03 for product B. The probability that a randomly selected product is type A is 0.6. Find the probability that a randomly selected product is defective and type B.
If the probabilities that a newly manufactured bottle of soap will be free of major defects, free of minor blemishes, and free of major defects and minor blemishes are 0.98, 0.8, and 0.78, respectively, find the probability that a bottle (a) that is free of major defects will also be free of minor blemishes. (b) that is free of minor blemishes will also be free of major defects.
Bayes Networks Consider the Bayes network given below, where the only (conditional) independence assumptions between the random variables A to E are those enforced by the shape of the network: A В C D E (a) Write down the full joint probability of all random variables A,..., E in terms of the distributions implied by the Bayes network. (b) For this question only assume that all random variables A,...,E are binary. What is the minimum total number of elements required in probability tables to store the joint probability of variables in this Bayes network? Assume the tables need only to store the positive results for each binary variable. Show your working. (c) Based on the Bayes network, what can you say about dependencies between each of the following pairs of variables? Choose the type of dependency from {none, conditionally independent given ., independent} (1) C and D (2) B and C (3) A and E (4) D and E (d) Consider the Bayes network as above where the arrow between D and E is…
Example 7: An internet company provides TV and Internet services in a certain city, 60% of all houses get Internet service from that company, 80% get TV service from that company, and 50% get both services from that company. If a house is randomly selected, 1) what is the probability that it gets at least one of these two services from the company? 2) what is the probability of the event that it get only TV service? 3) what is the probability of the event that a house get only Internet service ? 4) what is the probability of the event that it get exactly one service ? 5) what is the probability that a house get none of each service?
From the question 1, given P(D|M) = P(M|D)P(D) p(M) solve the following a. Draw the probability tree for the situation.
(Please Solve problem by using your hand calculation and R). Suppose that X is the downloading time a movie, which follows a uniform distribution between 16 and 22 minutes. Let’s assume you want to download a movie. What is the probability that the download time will be (a) Less than 19 minutes? (b) More than 23 minutes? (c) Between 20 and 22 minutes? (d) What are the mean and standard deviation of the download times?