Binomial Probability: More Than 1 Survival from 10 Chicks

In summary, the conversation discusses the calculation of the chance that more than one bird will survive from a brood of ten chicks, given the survival chance of 3/5. The correct answer is 0.9983 and the conversation also mentions the formula for calculating the chance that less than two birds will not survive.
  • #1
Procrastinate
158
0

Homework Statement



For a certain species of bird, there is a chance of three in five that a fledgling will survive. From a brood of ten chicks, find the chance that more than one will survive.

Let p = survival chance = 3/5
Let q = non-survival chance = 2/5

P(less than one will not survive) = P(more than one will survive) = 0.006047 + 0.040311

This answer is wrong, however, as my textbook is answer says it is about 0.9989 or something similar to that. I know how to get that answer through using powers (1-0.4^10) but I don't understand how I didn't get the same answer from the table because I have used that method a lot with many other questions and I does work. Perhaps someone could explain what I have done wrong with me?
 
Physics news on Phys.org
  • #2
P(more than one will not survive) = 1 - P(none will survive) - P(only one will survive)
 
  • #3
lkh1986 said:
P(more than one will not survive) = 1 - P(none will survive) - P(only one will survive)

I thought it was P(more than one will survive)?
 
  • #4
Procrastinate said:
I thought it was P(more than one will survive)?

Oops, my bad. If that's the case then the formula should be:
P(more than one will survive) = 1 - P(none will survive) - P(only one will survive) = 0.9983.
 
Last edited:
  • #5
lkh1986 said:
Oops, my bad. If that's the case then the formula should be:
P(more than one will survive) = 1 - P(none will survive) - P(only one will survive) = 0.9983.

Thanks.

However, would it still work for P(less than one will not survive)?
 
  • #6
Procrastinate said:
Thanks.

However, would it still work for P(less than one will not survive)?

I think you should use P(less than two will not survive)?

P(more than one will survive) = 1 - P(none will survive) - P(only one will survive) = 0.9983.
Use p = 0.6 and q = 0.4

OR
P(less than two will not survive) = P(none not survive) + P(one will not survive) = 0.9983
Use p = 0.4 and = 0.6
 
  • #7
lkh1986 said:
I think you should use P(less than two will not survive)?

P(more than one will survive) = 1 - P(none will survive) - P(only one will survive) = 0.9983.
Use p = 0.6 and q = 0.4

OR
P(less than two will not survive) = P(none not survive) + P(one will not survive) = 0.9983
Use p = 0.4 and = 0.6

Oh, thank you, I realize what I did wrong with my method. I did not include one will not survive in the second option.
 

FAQ: Binomial Probability: More Than 1 Survival from 10 Chicks

What is binomial probability?

Binomial probability is a mathematical concept used to calculate the likelihood of a specific number of successes in a certain number of trials. It is based on the assumption that each trial has only two possible outcomes and that the probability of success remains constant for each trial.

How is binomial probability calculated?

The formula for calculating binomial probability is P(x) = nCx * p^x * q^(n-x), where n is the number of trials, x is the number of successes, p is the probability of success, and q is the probability of failure (1-p). This formula can be applied to calculate the probability of getting more than one survival from 10 chicks.

Why is binomial probability important in scientific research?

Binomial probability is important in scientific research because it allows researchers to make predictions about the likelihood of certain outcomes or events. It is commonly used in fields such as biology, psychology, and economics to analyze data and draw conclusions.

What are some real-life examples of binomial probability?

Some real-life examples of binomial probability include flipping a coin, rolling a dice, and conducting drug trials. In these scenarios, there are only two possible outcomes (heads/tails, even/odd, success/failure) and the probability of each outcome remains constant.

How can binomial probability be applied to the "More Than 1 Survival from 10 Chicks" scenario?

In the "More Than 1 Survival from 10 Chicks" scenario, binomial probability can be used to calculate the likelihood of getting more than one chick surviving out of a total of 10. This can be useful in predicting the success rate of a breeding program or the effectiveness of a treatment in increasing survival rates.

Back
Top