Questions: Consider the probability that at least 42 out of 120 computers will crash in a day. Assume the probability that a given computer will crash in a day is 2%. Specify whether the normal curve can be used as an approximation to the binomial probability by verifying the necessary conditions.

Consider the probability that at least 42 out of 120 computers will crash in a day. Assume the probability that a given computer will crash in a day is 2%. 

Specify whether the normal curve can be used as an approximation to the binomial probability by verifying the necessary conditions.
Transcript text: Consider the probability that at least 42 out of 120 computers will crash in a day. Assume the probability that a given computer will crash in a day is $2 \%$. Specify whether the normal curve can be used as an approximation to the binomial probability by verifying the necessary conditions.
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Solution

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Solution Steps

Step 1: Calculate Mean, Variance, and Standard Deviation

For a binomial distribution with parameters \( n = 120 \) and \( p = 0.02 \), we calculate the following:

  • Mean \( \mu = n \cdot p = 120 \cdot 0.02 = 2.4 \)
  • Variance \( \sigma^2 = n \cdot p \cdot q = 120 \cdot 0.02 \cdot 0.98 = 2.352 \)
  • Standard Deviation \( \sigma = \sqrt{npq} = \sqrt{120 \cdot 0.02 \cdot 0.98} \approx 1.5336 \)
Step 2: Verify Conditions for Normal Approximation

To determine if the normal curve can be used as an approximation to the binomial probability, we check the following conditions:

  • Calculate \( np \): \[ np = 2.4 \]

  • Calculate \( nq \): \[ nq = n \cdot q = 120 \cdot 0.98 = 117.6 \]

Step 3: Conclusion on Normal Approximation

The conditions for using the normal approximation are:

  • \( np > 5 \)
  • \( nq > 5 \)

In this case:

  • \( np = 2.4 \) (not greater than 5)
  • \( nq = 117.6 \) (greater than 5)

Since \( np \) is not greater than 5, the normal curve cannot be used as an approximation to the binomial probability.

Final Answer

\(\boxed{\text{No, the normal curve cannot be used as an approximation to the binomial probability.}}\)

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