Basic question on increased probability

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In summary, the conversation discusses the effectiveness of using double-bagged condoms in preventing pregnancy. The participants calculate the increase in effectiveness by adding another 98% chance of effectiveness, resulting in a 1.96% chance of pregnancy. However, they also mention that in reality, this may not be the case and could potentially increase pregnancies. Mathematically, the probability of both condoms failing is .0004, resulting in a 99.96% chance of not failing. The participants also mention that this formula makes sense since they define failure as both condoms having to fail.
  • #1
kurvmax
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Hi, this is just a curiosity question which occurred to me when I was reading the Wikipedia page on condoms. I'm sorry to start a topic on something so basic, but there isn't a category on the homework section for "other" aside from calculus/physics ect.

Let's say condoms are 98% effective over a year of use in preventing pregnancy. Let's pretend that double-bagging actually increases the effectiveness by adding another 98% chance of effectiveness (in reality, this appears to be untrue). How is that formally done? I was thinking that 98/100 of the times, pregnancy would not happen. 2/100 times it would. Since it is double-bagged, 98% of those 2/100 would not happen. That means .98 * 2 = .0196 or 1.96%. In other words, 98.04% of those using double-bagged condoms would have no pregnancies.

Is that right -- would it increase the chance of no pregnancies .04%? It just seems like such a small difference.
 
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  • #2
Assuming the condom failures are independent, then if the probability of one failing is .02, the probability of both failing is .0004 (.022). Thus the probability of not failing is .9996.
 
  • #3
Note that's the same as .98 + .98 - .98^2 = P(A or B) = P(A) + P(B) - P(A and B)

Which should make sense since you are defining failure as both having to fail therefore success is either one has to succeed.

Mathematically we have .98 + .98 - .98^2 = .98(1 + 1 - .98) = (1 - .02)(1 + .02) = 1 - .02^2 as mathman stated.
 
  • #4
The above two posts have the math correct. Note that in actual use this would be more likely to increase rather than decrease pregnancies...
 
  • #5
The OP does note that in his original post though he seems skeptical.
 

FAQ: Basic question on increased probability

What is probability and how is it increased?

Probability is the measure of the likelihood that an event will occur. It can be increased by increasing the number of favorable outcomes or decreasing the total number of possible outcomes.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual outcomes from an experiment or trial.

How can we use probability in real life?

Probability can be used in various fields such as finance, statistics, and science to make predictions and informed decisions. For example, it can be used in gambling to determine the likelihood of winning or in medicine to determine the effectiveness of a new treatment.

What are some common misconceptions about probability?

Some common misconceptions about probability include the belief that past outcomes can influence future outcomes, that rare events are more likely to occur, and that independent events are affected by each other.

How can we calculate the probability of multiple events occurring?

To calculate the probability of multiple events occurring, we can use the multiplication rule which states that the probability of two independent events occurring together is equal to the product of their individual probabilities. Alternatively, we can also use tree diagrams or the addition rule for mutually exclusive events.

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