We read your photo as:

Calculate the probability that at least 8 out of 10 animals will die from a drug, given that 4 out of 20 rats died from it.

Mathematics

ScanSolve AI Answer

Answer

P(X≥8)≈0.0000779P(X \ge 8) \approx 0.0000779

Step-by-step solution

4 steps

This problem involves calculating probabilities for a fixed number of independent trials, where each trial has only two possible outcomes (death or survival). This is a binomial probability distribution.

Here's the explanation and solution:

  1. Identify the parameters of the binomial distribution:

    • Number of trials (nn): The number of animals treated with the drug, which is n=10n = 10.
    • Probability of success (pp): The probability that an animal dies from the drug. Given that 4 out of 20 rats die, p=420=0.2p = \frac{4}{20} = 0.2.
    • Probability of failure (qq): The probability that an animal survives. q=1−p=1−0.2=0.8q = 1 - p = 1 - 0.2 = 0.8.
    • Random variable (XX): The number of animals that die.
  2. State the binomial probability formula: The probability of exactly kk successes in nn trials is given by:

    P(X=k)=(nk)pkqn−kP(X=k) = \binom{n}{k} p^k q^{n-k}

    where (nk)=n!k!(n−k)!\binom{n}{k} = \frac{n!}{k!(n-k)!} is the binomial coefficient.

  3. Determine the required probability: We need to find the probability that at least 8 animals will die. This means P(X≥8)P(X \ge 8), which is the sum of probabilities for X=8X=8, X=9X=9, and X=10X=10.

    P(X≥8)=P(X=8)+P(X=9)+P(X=10)P(X \ge 8) = P(X=8) + P(X=9) + P(X=10)
  1. Calculate P(X=8)P(X=8).

    P(X=8)=(108)(0.2)8(0.8)10−8P(X=8) = \binom{10}{8} (0.2)^8 (0.8)^{10-8} P(X=8)=10!8!2!(0.2)8(0.8)2P(X=8) = \frac{10!}{8!2!} (0.2)^8 (0.8)^2 P(X=8)=10×92×1×(0.00000256)×(0.64)P(X=8) = \frac{10 \times 9}{2 \times 1} \times (0.00000256) \times (0.64) P(X=8)=45×0.00000256×0.64P(X=8) = 45 \times 0.00000256 \times 0.64 P(X=8)=0.000073728P(X=8) = 0.000073728
  2. Calculate P(X=9)P(X=9).

    P(X=9)=(109)(0.2)9(0.8)10−9P(X=9) = \binom{10}{9} (0.2)^9 (0.8)^{10-9} P(X=9)=10!9!1!(0.2)9(0.8)1P(X=9) = \frac{10!}{9!1!} (0.2)^9 (0.8)^1 P(X=9)=10×(0.000000512)×(0.8)P(X=9) = 10 \times (0.000000512) \times (0.8) P(X=9)=0.000004096P(X=9) = 0.000004096
  3. Calculate P(X=10)P(X=10).

    P(X=10)=(1010)(0.2)10(0.8)10−10P(X=10) = \binom{10}{10} (0.2)^{10} (0.8)^{10-10} P(X=10)=10!10!0!(0.2)10(0.8)0P(X=10) = \frac{10!}{10!0!} (0.2)^{10} (0.8)^0 P(X=10)=1×(0.0000001024)×1P(X=10) = 1 \times (0.0000001024) \times 1 P(X=10)=0.0000001024P(X=10) = 0.0000001024
  4. Sum the probabilities.

    P(X≥8)=P(X=8)+P(X=9)+P(X=10)P(X \ge 8) = P(X=8) + P(X=9) + P(X=10) P(X≥8)=0.000073728+0.000004096+0.0000001024P(X \ge 8) = 0.000073728 + 0.000004096 + 0.0000001024 P(X≥8)=0.0000779264P(X \ge 8) = 0.0000779264

    The probability that at least 8 animals will die is approximately 0.0000779.

    P(X≥8)≈0.0000779P(X \ge 8) \approx 0.0000779
Was this helpful?

Try one yourself

A new problem that tests the same skill.

Still stuck on this one?

Ask a follow-up, and the answer starts from this question.

Got a different question?Ask your own question