suppose that 30% of the 10,000 signatures on a certain recall petition are invalid. would the number of invalid signatures in a sample of 3000 of these signatures have (approximately) a binomial distribution? explain. g



Answer :

Approximately, all of the signatures in the sample of 3000 signatures are invalid . We get this outcome by using binomial distribution .

This problem it is said that 30% of 10000 signatures on certain recall petition are invalid . So, here is the two outcomes possible one is the signatures are invalid and other signature are valid .

Probability of Success (signature are valid ) = p = favourable outcomes / total outcomes

Favourable outcomes for Success = 70% of 10,000= 7000

Total number of possible outcomes = 10,000

P = 7000/10,000 = 7/10

Probability of failure (signature are invalid ) = q= 1- p = 1- 7/10 = 3/10

We have to find out probability of getting invalid signature from a sample of 3000 signatures..

Using the binomial distribution,

P(X = x ) = ⁿ C ₓ pˣ (1- p)⁽ⁿ⁻ˣ⁾

n = 3000 , x= 0 for none of signatures from 3000 are invalid.

P(X=0) = ³⁰⁰⁰C ₀ (3/10)⁰ ( 7/10) ³⁰⁰⁰

= 1 . 1 . (7/10)³⁰⁰⁰ = (7/10)³⁰⁰⁰ = 0

Probability of getting invalid signature out of sample 3000 is

1 – ( 7/1000)³⁰⁰⁰ = 1

This implies that all the signatures in sample of 3000 are invalid.

To learn more about binomial distribution, refer:

https://brainly.com/question/14619999

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