A distributer received a shipment that has 10000 cellphone chargers. The quality department needs to check each charger to accept or return the shipment. The manufacturer states that the each charger has 0.71 probability of working after shipment. If 8,000 or more chargers are working the distributer will accept the shipment. What is the probability that the distributed will accept the shipment?

A distributer received a shipment that has 10000 cellphone chargers. The quality department needs to check each charger to accept or return the shipment. The manufacturer states that the each charger has 0.71 probability of working after shipment. If 8,000 or more chargers are working the distributer will accept the shipment. What is the probability that the distributed will accept the shipment?

Name: A distributer received a shipment that has10000 cellphone chargers. T
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Description: A distributer received a shipment that has10000 cellphone chargers. The qualitydepartment needs to check each charger toaccept or return the shipment. Themanufacturer states that the each charger has0.71 probability of working after shipment. If8,00

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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Concept explainers

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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Question

A distributer received a shipment that has
10000 cellphone chargers. The quality
department needs to check each charger to
accept or return the shipment. The
manufacturer states that the each charger has
0.71 probability of working after shipment. If
8,000 or more chargers are working the
distributer will accept the shipment. What is
the probability that the distributed will accept
the shipment?

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