Calculating Probabilities with Binomial Distribution

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In summary, the probability of an event occurring is 0.6. Find the probability of 1 of such events occurring out of total 5, and 4 of such events occurring out of total 5.
  • #1
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Hi,Can anyone help me with this one?

Probability of an event occurring is 0.6

Find,
1)Probability of 1 of such events occurring out of total 5?

2)and 4 of such event occurring out of total 5.?



Answers given are:

1) 0.768
2) 0.2592


Please help me out by giving and explaining this one?..
thnks in advance
 
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  • #2
You may want to use the binomial distribution [tex]f(k)=\left( \begin{array}{c} n \\ k \end{array} \right) p^k (1-p)^{n-k}[/tex], where n is the number of trials, and k the number of times an event whose probability is 0.6 occured.
 
  • #3
radou said:
You may want to use the binomial distribution [tex]f(k)=\left( \begin{array}{c} n \\ k \end{array} \right) p^k (1-p)^{n-k}[/tex], where n is the number of trials, and k the number of times an event whose probability is 0.6 occured.


I tried..but still not getting the ans..dunno where am going wrong..could u pls solve it and show me...
thnk u very much!...i guess i am making the same mistake again n again..but can't see thro ' it..will really appreciate if u solve it and explain...

U r right tht we have to use binomial distribution..is there any other way also to solve it?

thnks
 
  • #4
Complete words, please!

RSS said:
I tried..but still not getting the ans..dunno where am going wrong..could u pls solve it and show me...
thnk u very much!...i guess i am making the same mistake again n again..but can't see thro ' it..will really appreciate if u solve it and explain...

U r right tht we have to use binomial distribution..is there any other way also to solve it?

I'm not sure at all where you're going wrong. You have the formula -- just plug in the appropriate values and you have the answer. What are you getting, and how?
 
  • #5
You have already been told to use
[tex]f(k)=\left( \begin{array}{c} n \\ k \end{array} \right) p^k (1-p)^{n-k}[/tex]

When p= 0.6, n= 5, P(1)= [itex]\frac{5!}{(4!)(1!)}.6^1 .4^4[/itex]
[itex]= 5(.6)(0.025)= 0.0768[/itex]. Was it the arithmetic you had trouble with?

To answer (2) take k= 4 rather than 1.
 
  • #6
sorry frnds..was making a very silly mistake with decimals..I got it after radou's 1st reply..was just trying to work out if there is any other way to solve besides using the binomial formula..
anyways, i have stuck with wht u all suggest..thnks again all of you!..appreciate it!:smile:
 

FAQ: Calculating Probabilities with Binomial Distribution

What is probability?

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

How is probability calculated?

Probability is calculated by dividing 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 data collected from experiments or observations.

How is probability used in real life?

Probability is used in various fields such as economics, finance, and insurance to make informed decisions based on the likelihood of events occurring. It is also used in gambling and games of chance.

Can probability be greater than 1?

No, probability cannot be greater than 1. A probability of 1 indicates certainty, while a probability greater than 1 would imply more than 100% likelihood of an event occurring, which is not possible.

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