MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Concept explainers

Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known …
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosi…
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the prob…
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Question

(b) Is there sufficient evidence to conclude, at the 5% level of significance, 
that the false positive rate is less than 5%? Explain. 

3. An HIV test is not entirely accurate. The test developer claims the test produces less than 5% false positives and less than 1% false negatives. In order to investigate the developer's claim, the test was administered to1000 individuals known to have HIV and 10,000 individuals known not to have HIV. The results are below. Truly has HIV Truly does not Test Result have HIV Positive 993 591 Negative 7 9409
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Transcribed Image Text:3. An HIV test is not entirely accurate. The test developer claims the test produces less than 5% false positives and less than 1% false negatives. In order to investigate the developer's claim, the test was administered to1000 individuals known to have HIV and 10,000 individuals known not to have HIV. The results are below. Truly has HIV Truly does not Test Result have HIV Positive 993 591 Negative 7 9409
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