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Identify the parameters and target
Using the Binomial Probability Distribution knowledge point, we identify the parameters of the binomial random variable \(x\):
- Number of trials: \(n = 9\)
- Probability of success: \(p = 0.4\)
- Probability of failure: \(q = 1 - p = 0.6\)
We need to evaluate the probability:
Express the interval probability
Using the Cumulative Binomial Probability knowledge point, we express the probability of the interval as the sum of individual probability mass functions:
The binomial probability formula is:
Calculate individual probabilities
Using the Binomial Probability Distribution knowledge point, we compute each term:
For \(k = 2\):
For \(k = 3\):
For \(k = 4\):
Sum the probabilities and round
Using the Cumulative Binomial Probability knowledge point, we sum the calculated values:
Rounding to three decimal places yields:
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Consider a binomial random variable with \(n = 9\) and \(p = 0.4\). Let \(x\) be the number of successes in the sample. Evaluate the probability. (Round your answer to three decimal places.)
\(P(2 \le x \le 4) =\) <blank>0.663</blank>