To find the probability of randomly selecting a cigarette with 0.572 g of nicotine or less (P(X < 0.572 g)), we will first calculate the z-score for 0.572 g using the given mean (μ) and standard deviation (σ) of the normal distribution.
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Calculate the z-score: \[ z = \frac{X - \mu}{\sigma} \] where:
- \( X = 0.572 , \text{g} \)
- \( \mu = 0.963 , \text{g} \)
- \( \sigma = 0.301 , \text{g} \)
Substituting the values: \[ z = \frac{0.572 - 0.963}{0.301} = \frac{-0.391}{0.301} \approx -1.297 \]
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Find the probability corresponding to the z-score: We use a standard normal distribution table or a calculator to find the probability \( P(Z < -1.297) \).
Looking up \( z = -1.297 \) in the z-table or using a standard normal distribution calculator will yield:
\( P(Z < -1.297) \approx 0.0968 \)
So, the probability of randomly selecting a cigarette with 0.572 g of nicotine or less is:
\[ P(X < 0.572) \approx 0.0968 \]
Thus, rounding to four decimal places, the answer is:
\[ \boxed{0.0968} \]