Because of natural fluctuations of testosterone in the body, 10 independent blood tests are given to cyclists to test for Performance Enhancing Drugs (PEDs). Those cyclists using PEDs will test positive on any given test with probability 0.85. Those not using PEDs will test positive on any given test with probability 0.15. An overall positive test is defined as testing positive on at least 7 tests of the 10 tests.
a. What is the sensitivity of this test?
b. What is the specificity of this test?
c. Assume that 10% of cyclists are actually using PEDs. If a cyclist tests positive, what is the probability that he is in fact using PEDs
a) sensitivity of this test=P(test positive given taken PEDs)=0.85
b) specificity of this test =P(test negative given not taken PEDs)=1-0.15=0.85
c)
P(tested posiitve)=P(taken PEDs)*P(test positive given taken PEDs)+P(not taken PEDs)*P(test negative given not taken PEDs)=0.1*0.85+(1-0.1)*0.15=0.22
hence probability that he is in fact using PEDs given tested posiitve)
=P(taken PEDs)*P(test positive given taken PEDs)/P(tested posiitve)
=0.1*0.85/0.22=0.3864
Because of natural fluctuations of testosterone in the body, 10 independent blood tests are given to...
Medical screening tests are used to check for the presence on disease, evidence of illegal drug use, etc. The its sensitivity and its specificity. The sensitivity among those with the condition that will test positive. The specichy proportion among those without the condition that will test neg sensitivity of a test is defined to be the conditional ng those without the condition that will test negative. More formally, the test is defined to be the conditional probability that a person...
Suppose that 20% of the cyclists racing in the Tour de France are using illegal performance enhancing drugs. They are tested one week prior to the start of the race. The blood test administered has a 5% false positive rate (that is, the probability of a positive result given the individual is not using an illegal performance enhancing drug is .05). The probability of a positive result given the individual is using an illegal performance enhancing drug is .90. Suppose...
Health experts’ estimate for the sensitivity of coronavirus tests, as they are actually used, is 0.7. They also think the specificity is very high. Suppose specificity is 0.99 and that the health experts’ estimated sensitivity is correct (0.7). a. In a population where 20% of the population is infected with the coronavirus, what is the probability that a person who tests positive actually is infected? b. Continued. What is the probability that a person who tests negative actually is not...
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Problem 6 A website for home pregnancy test cites the following: "When the subjects using the test were women who collected and tested their own samples, the overall sensitivityl was 75%. The specificity2 was 52%. Suppose a subject has a positive test and that 30% of women taking pregnancy tests are actually pregnant. [1] Sensitivity: probability that the test is positive given that the subject is pregnant. [2] Specificity: probability that...
Excerpt: “Blood tests [for herpes] can be highly unreliable. The kind of test used to diagnose Lauren, an IgM test, has long been rejected by the Centers for Disease Control and Prevention but is still used by some clinicians. Meanwhile, the CDC and the US Preventive Services Task Force concur that the most widely available herpes test, called HerpeSelect, should not be used to screen asymptomatic people because of its high risk of false positives: Up to 1 in 2...
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Background The notation P(AlB) is read as "the probability of A,
given B, has occurred." So the "" symbol is read as "given."
Formally, A and B are called events and P(AB) is a conditional
probability Bayes' rule is a very useful way of relating
conditional and unconditional probabilities. According to this
rule, for any two events A and B, we have: P(B) Let's use "T+" to
denote the event "the screening test concludes that the condition
(disease, pregnancy, etc,)...
75%
of positively tested covid 19 cases and 10% of negatively are
showing symptons. given that 25% of the tests are positive find the
following:
1)probability that a randomly tested person is showing
symptons
2)given that a random person is showing symptons what is the
prob that a covid test for that person is positive?
3) given that a person is not showing symptons, what is the
prob that a covid test for that person is positive?
1. DETAILS 75%...