The time spent waiting in the line is approximately normally distributed. The mean waiting time is 6 minutes and the standard deviation of the waiting time is 2 minutes. Find the probability that a person will wait for more than 9 minutes. Round your answer to four decimal places.
Solution :
P(x > 9) = 1 - P(x < 9)
= 1 - P[(x - ) / < (9 - 6) / 2]
= 1 - P(z < 1.5)
= 1 - 0.9332
= 0.0668
Probability = 0.0668
To find the probability that a person will wait for more than 9 minutes, we can use the standard normal distribution.
Step 1: Standardize the value 9 using the formula: z = (x - μ) / σ
where x is the given value (9 minutes), μ is the mean (6 minutes), and σ is the standard deviation (2 minutes).
Plugging in the values: z = (9 - 6) / 2 z = 3 / 2 z = 1.5
Step 2: Find the probability corresponding to the standardized value using a standard normal distribution table or a calculator.
Looking up the z-value of 1.5 in a standard normal distribution table, we find that the corresponding probability is 0.9332 (rounded to four decimal places).
Step 3: Subtract the probability from 1 to find the probability that a person will wait for more than 9 minutes: P(waiting time > 9 minutes) = 1 - 0.9332 P(waiting time > 9 minutes) ≈ 0.0668
Therefore, the probability that a person will wait for more than 9 minutes is approximately 0.0668, rounded to four decimal places.
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