Question 3 of 7 (s points) I Question Attempt 1 of 5 \( \checkmark 1 \) \( \checkmark 2 \) 3 4 5 6 7 Use the normal approximation to the binomial to find the probability for \( n=53, p=0.9 \), and \( X \leq 40 \). Use The Standard Normal Distribution Table. Round \( z \) value calculations to 2 decimal places and final answer to at least 4 decimal places. The probability is \( \square \) .
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To use the normal approximation for a binomial distribution, we first need to calculate the mean \(\mu\) and the standard deviation \(\sigma\). For a binomial distribution, \(\mu = n \cdot p = 53 \cdot 0.9 = 47.7\) and \(\sigma = \sqrt{n \cdot p \cdot (1-p)} = \sqrt{53 \cdot 0.9 \cdot 0.1} \approx 2.74\). Next, we convert \(X \leq 40\) to a z-score: \(z = \frac{X - \mu}{\sigma} = \frac{40 - 47.7}{2.74} \approx -2.80\). Looking up this z-value in the standard normal distribution table, we find that the cumulative probability is approximately \(0.0026\). So, the probability \(P(X \leq 40)\) is roughly equal to \(0.0026\) when rounded to four decimal places. Therefore, the probability is \(0.0026\).
