If that is the case, then the probability would be 0.222 or 22.2%.

  • Thread starter needhelp83
  • Start date
  • Tags
    Probability
In summary, the probability that Mike's bullet hit the target is 0.222, assuming that the target was hit exactly once and that Ray and Mike's shots were independent from each other.
  • #1
needhelp83
199
0
Ray and Mike go target shooting together. Both shoot at a target at the same time. Suppose Ray hits the target with probability of 0.7, and Mike hits the target with probability 0.4. Given that exactly one bullet hit the target, what is the probability that it was Mike's bullet?

Given that the target is hit, what is the probability that it was Mike's bullet

Unsure where to start on this problem.
Any help
 
Physics news on Phys.org
  • #2
It may help to list up the combinations of the 2 bullets hitting and not hitting, and then think if it is possible to associate a probability to each of the 4 outcomes. With such probabilities you can now look at the combinations for exactly one hit and calculate the answer.
 
  • #3
Filip Larsen said:
It may help to list up the combinations of the 2 bullets hitting and not hitting, and then think if it is possible to associate a probability to each of the 4 outcomes. With such probabilities you can now look at the combinations for exactly one hit and calculate the answer.

Why would you need to list the combination if there is only one that hit. Not exactly sure what you mean
 
  • #4
If you only look at Rays bullet, it can either hit or miss, the probability of which given by your problem text. So knowing the probability for Ray to hit you also know the probability for him to miss (you should calculate this probability).

The same thing can be done for Mike, which will give you four probabilities. Two for Rays hit and miss, and two for Mikes hit and miss.

Now look at the combined "experiment" where Ray and Mike fire at the same time, and write up all the possible combinations of hit and miss events by Ray and Mike. If we call the first combination "Ray miss and Mike miss", what are the other 3 combinations then?

When you have those combinations you are ready to think (and make an assumption) about if Rays and Mikes shot were independent or not. Provided they are independent, you can now calculate the probability of the four combinations mentioned above. Look in your textbook for how to calculate the probability of a combination of independent events.

Now, when that is done you can inspect the four combinations and pick the two that describe that exactly one bullet hit (e.g. Ray hit and Mike miss), and knowing that either of these two events occurred you should be able to calculate the probability that is was Ray scoring a hit. You may want to read about conditional probabilities in your textbook for theoretical background and equations.
 
  • #5
I think I finally got the first part of the problem, but I don't see what exactly the second part is asking...

1. Given that exactly one bullet hit the target, what is the probability that it was Mike's bullet?

P(Ray hit, Mike miss) = .7 * .6 = .42
P(Ray miss, Mike hit) = .4*.3 = .12

P(ray miss, mike hit) + p (ray hit, mike miss) = .54

.12/.54= 0.222 that Mike hit

2. Now it asks given that target is hit, what is the probability that it was Mike's bullet?
How is this any different from first question?
 
  • #6
This second question is rather unclear. They could mean "Given that the target is hit at least once, what is the probability that Mike's bullet hit the target". It's the only interpretation that I can think of that isn't the same as the first question.
It has the problem that the target might be hit twice and then "it was Mike's bullet"
doesn't make sense.
 
  • #7
Hmmm...any more ideas?
 
  • #8
needhelp83 said:
I think I finally got the first part of the problem, but I don't see what exactly the second part is asking...

1. Given that exactly one bullet hit the target, what is the probability that it was Mike's bullet?

P(Ray hit, Mike miss) = .7 * .6 = .42
P(Ray miss, Mike hit) = .4*.3 = .12

P(ray miss, mike hit) + p (ray hit, mike miss) = .54

.12/.54= 0.222 that Mike hit

Looks good.

needhelp83 said:
2. Now it asks given that target is hit, what is the probability that it was Mike's bullet?
How is this any different from first question?

I think you should read the part "probability that it was Mike's bullet" as "probability that Mike's bullet hit". At least, that would allow you to solve it using a straight forward extension of what you did in 1).
 

1. What is a probability problem?

A probability problem is a mathematical question or scenario in which the likelihood of an event occurring is calculated or estimated. It involves using principles of probability to determine the chances of a particular outcome happening.

2. 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. For example, if you flip a coin, the probability of getting heads is 1 out of 2, or 0.5, or 50%.

3. What are the different types of probability?

The three main types of probability are theoretical probability, experimental probability, and subjective probability. Theoretical probability is based on mathematical principles and assumes all outcomes are equally likely. Experimental probability is based on actual data collected through experiments or observations. Subjective probability is based on personal beliefs or opinions.

4. How do you use probability in real life?

Probability is used in many real-life situations, such as predicting the weather, making financial decisions, and understanding risk. It can also be used in games of chance, like card games and lotteries. Additionally, businesses use probability to make decisions about product sales and marketing strategies.

5. What are some common misconceptions about probability?

One common misconception about probability is that past outcomes affect future outcomes. In reality, each event or trial is independent and the outcome is not influenced by previous results. Another misconception is that probability can predict exact outcomes, when in fact it only provides an estimate of likelihood. Lastly, people often confuse probability with chance or luck, when it is actually a mathematical concept based on principles and data.

Similar threads

  • Calculus and Beyond Homework Help
Replies
6
Views
964
  • Introductory Physics Homework Help
Replies
2
Views
561
  • Special and General Relativity
Replies
17
Views
1K
Replies
8
Views
1K
  • Calculus and Beyond Homework Help
Replies
6
Views
4K
  • Quantum Physics
Replies
4
Views
727
  • Calculus and Beyond Homework Help
Replies
30
Views
3K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
334
  • Set Theory, Logic, Probability, Statistics
Replies
16
Views
1K
  • Classical Physics
Replies
10
Views
1K
Back
Top