13. In a quality control analysis, the random variable X represents the number of defectiveproducts per each batch of 100 products produced.Defects (x) 01 2 3 4 5Batches 95 113 87 64 13 8Fill out the table by matching the x to the appropriate probability distribution.324150xP(x)01234↑↑↑↑↑50.250.300.230.170.03* REQUIRED0.023

Given that the random variable X represents the number of defective products per batch of 100…

Answered: 13. In a quality control analysis, the…

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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6. The life expectancy of a brand of car motors has a normal distribution with "- 75,000 and o - 5,500. a. Find the probability that 1 motor is chosen at random will have a life expectancy of more than 90,000 miles.
. You are given the following. 470 = 0.04 471 = 0.05 • deaths are uniformly distributed within cach year of age. Calculate the probability that (70) will die between ages 70.5 and 71.5. a. Less than 0.0432 b. At least 0.0432, but less than 0.0437 C. At least 0.0437, but less than 0.0442 d. At least 0.0442, but less than 0.0447 e 0.0447 or more
Choose an American household at random and let the random variable ?X be the number of cars (including SUVs and light trucks) they own. Given is the probability distribution if we ignore the few households that own more than 5 cars. Number of cars 0 1 2 3 4 5 Probability 0.09 0.36 0.35 0.13 0.05 0.02 About what percentage of households have a number of cars within 2 standard deviations of the mean?
1. The following table contains the probability distribution for the number of traffic accidents daily in a small town. Complete Parts (a) through (c) below. a.) Compute the mean number of accidents per day using the table below Number of accidents Daily (x) 0-Nm Jha 6 P(X = Xi) 0.26 0.3u 0.19 0.08 0.07 0.04 0.02 # Please use excel to answer question
Answer D
3. Football goal scoring events arrive as a Poisson process in a a 90-minute match at a mean rate of 2.7 goals per match. Find the probability that an interval time is less than 30 minutes: (A) 0.0672 (B) 0.4066 (C) 0.5934 (D) 0.9328
.A contractor builds three-unit apartment with construction time follows a normal distribution. Suppose that µ=100 days and o=20 days and the contract called for completion in 125 days and late completion will incur a severe penalty fee. What is the probability of not incurring a penalty fee? * 0.8943 0.8525 0.9125 O 0.9343
5. The probability distribution of discrete random variable X is given by k for x = 1, 2, 3 x +1 P(X = x) %3D
Answer A-C
Suppose you were given this Joint Probability Distribution: x=number of bars of signal strength x=number of bars of signal strength x=number of bars of signal strength x=number of bars of signal strength y=number of times city name is stated 1 2 3 Marginal probability distribution of y 4 0.15 0.1 0.05 0.3 3 0.02 0.1 0.05 0.17 2 0.02 0.03 0.2 0.25 1 0.01 0.02 0.25 0.28 0.2 0.25 0.55 Marginal probability distribution of x Marginal probability distribution of x Marginal probability distribution of x Marginal probability distribution of x Find the conditional mean and variance of Y|3 Mean = Variance =
The probability distribution for the number of times breakdown happened in a machine for one week time is given by X = 1 4 5 6 7 P(X = 2) 27 26 93 23 93 17 Find the expected number of breakdowns [Mean] per week. 29.12 3.38 O 11.79 O 5.32
• Investment in 5 Internet business ventures • The number of successful ventures has a probability distribution: x 0 1 2 3 4 5 P(x) .002 .029 .132 .309 .360 .168 • Estimate the probability that x falls within 2 standard deviations of the mean.

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