Understanding Probability of HIV and Herpes in Blood Donors

In summary, data from a particular blood center shows that 0.1% of donors test positive for HIV, 1% test positive for herpes, and 1.05% test positive for either HIV or herpes. This means that the value for "HIV or herpes" is slightly larger than herpes alone, as the test is 0.05 positive for both HIV and herpes.
  • #1
mirandasatterley
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Data gathered at a particular blood center show that 0.1% of all donors test positive for human immunodeficiency virus (HIV), 1% test positive for herpes, and 1.05% test positive for HIV or herpes.

Does the part in bold mean the union of HIV and herpes?
 
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  • #2
Yes "A or B" means in set A or in set B and, yes, that is the union. Notice that the value for "HIV or Herpes" is slightly LARGER than for herpes only.
In general, P(A or B)= P(A)+ P(B)- P(A and B). Here, since 1.05= 0.1+ 1- 0.05 we can se that the test is 0.5 positive for "Herpes and HIV".
 
  • #3
Halls, I know you meant 0.05 positive for "Herpes and HIV".
 
  • #4
Thanks. Yes, of course, 0.05.
 

FAQ: Understanding Probability of HIV and Herpes in Blood Donors

What is probability?

Probability is the measure of the likelihood that an event will occur. It is typically expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

What is a sample space?

A sample space is the set of all possible outcomes of a random experiment. It is denoted by the symbol Ω (omega) and is an important concept in probability theory.

What is an event?

An event is a subset of the sample space, or a collection of possible outcomes. It can be a simple event, which consists of a single outcome, or a compound event, which consists of multiple outcomes.

What is the difference between theoretical and experimental probability?

Theoretical probability is the expected probability of an event occurring based on mathematical calculations. Experimental probability is the observed probability of an event occurring based on actual experiments or data.

What is the difference between independent and dependent events?

Independent events are events where the outcome of one event does not affect the outcome of the other event. Dependent events are events where the outcome of one event does affect the outcome of the other event. The probability of dependent events occurring together is calculated differently than the probability of independent events occurring together.

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