0.15, find the probability of a positive result for four samples combined into one mixtu at further testing of the individual samples is rarely necessary? ne probability of a positive test result is. cound to three decimal places as needed.) the probability low enough so that further testing of the individual samples is rarely n O A. The probability is low, so further testing will be necessary for all of the combine O B. The probability is not low, so further testing will not be necessary for any of the O C. The probability is low, so further testing of the individual samples will be a rarely O D. The probability is not low, so further testing of the individual samples will freque
0.15, find the probability of a positive result for four samples combined into one mixtu at further testing of the individual samples is rarely necessary? ne probability of a positive test result is. cound to three decimal places as needed.) the probability low enough so that further testing of the individual samples is rarely n O A. The probability is low, so further testing will be necessary for all of the combine O B. The probability is not low, so further testing will not be necessary for any of the O C. The probability is low, so further testing of the individual samples will be a rarely O D. The probability is not low, so further testing of the individual samples will freque
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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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![Testing for a disease can be made more efficient by combining samples. If the samples from four people are combined and
the mixture tests negative, then all four samples are negative. On the other hand, one positive sample will always test
positive, no matter how many negative samples it is mixed with. Assuming the probability of a single sample testing positive
is 0.15, find the probability of a positive result for four samples combined into one mixture. Is the probability low enough so
that further testing of the individual samples is rarely necessary?
The probability of a positive test result is
(Round to three decimal places as needed.)
Is the probability low enough so that further testing of the individual samples is rarely necessary?
A. The probability is low, so further testing will be necessary for all of the combined mixtures.
B. The probability is not low, so further testing will not be necessary for any of the mixtures.
C. The probability is low, so further testing of the individual samples will be a rarely necessary event.
D. The probability is not low, so further testing of the individual samples will frequently be a necessary event.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9e6b8585-9dc6-44e3-b43f-9838a6e3f8bf%2F1a0c9017-20f2-4302-b638-bed544f56968%2Fa4s5gm_processed.png&w=3840&q=75)
Transcribed Image Text:Testing for a disease can be made more efficient by combining samples. If the samples from four people are combined and
the mixture tests negative, then all four samples are negative. On the other hand, one positive sample will always test
positive, no matter how many negative samples it is mixed with. Assuming the probability of a single sample testing positive
is 0.15, find the probability of a positive result for four samples combined into one mixture. Is the probability low enough so
that further testing of the individual samples is rarely necessary?
The probability of a positive test result is
(Round to three decimal places as needed.)
Is the probability low enough so that further testing of the individual samples is rarely necessary?
A. The probability is low, so further testing will be necessary for all of the combined mixtures.
B. The probability is not low, so further testing will not be necessary for any of the mixtures.
C. The probability is low, so further testing of the individual samples will be a rarely necessary event.
D. The probability is not low, so further testing of the individual samples will frequently be a necessary event.
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