How Do You Calculate the Probability of a Cancer Diagnosis in Adults Over 40?

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In summary, the conversation discusses a probability problem involving the likelihood of an adult over 40 years of age being diagnosed with cancer. The answer given in the book is 0.0960, and the question asks for the process of reaching this answer. The conversation then continues with a solution provided by one of the individuals, despite their limited knowledge in probability math. The solution involves assuming that 5% of people in the region have cancer and using the given probabilities to calculate the likelihood of a correct diagnosis.
  • #1
blondii
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Hi All,

I need a quick help with this problem i have been working with. I know the answer (from book). My question is how do I reach that answer. Now I am not an expert in probability but I tried every way i can think of but to no avail.

The Answer in the Book: 0.0960

Question:
In a certain region of the country it is known from past experience that the probability of selecting an adult over 40 years of age with cancer is 0.05. If the probability of a doctor correctly diagnosing a person with cancer as having the disease is 0.78 and the
probability of incorrectly diagnosing a person without cancer as having the disease is 0.06, what is the probability that an adult over 40 years of age is diagnosed as having cancer?

Please if you can solve this problem with the answer above can you please kindly post your working out as well.

Any help will be much appreciated.
 
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  • #2
Hi, blondii. I'll start with a disclaimer stating that I know next to nothing about probability mathematics, and very little about mathematics in general, but here's the solution that makes sense to me:

In this area, it is assumed that 5% of people have cancer and 95% do not. Of the 5% who do, a doctor will make a correct diagnosis 78% of the time.

.78 * .05 = .039

So there is a 3.9% chance that a person will a) have cancer, and b) receive an accurate diagnosis.

Of the remaining 95%, 6% of them will receive a false positive diagnosis.

.95 * .06 = .057

The combined probabilities of the two groups is 9.6%.

Hope that helps,
Pete
 
  • #3
Hi SneakyPete, thanks for your solution. Seems to make sense. Much appreciated.
 

FAQ: How Do You Calculate the Probability of a Cancer Diagnosis in Adults Over 40?

What is probability?

Probability is the measure of the likelihood of an event occurring. It is expressed as a number between 0 and 1, with 0 representing impossibility and 1 representing certainty.

How do you calculate probability?

To calculate probability, you divide the number of favorable outcomes by the total number of possible outcomes. This can be represented as a fraction, decimal, or percentage.

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 results from conducting an experiment and may vary from the theoretical probability.

How do you use probability in real life?

Probability is used in many real-life situations, such as predicting the weather, playing games of chance, and making financial decisions. It can also be used to analyze data and make informed decisions.

Can you give an example of a probability problem?

An example of a probability problem could be: "What is the probability of rolling a 6 on a standard six-sided die?" The answer would be 1/6 or approximately 16.67%.

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