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assume the hold time of callers to a cable company is normally distributed with a mean of 3.6 and a standard a deviation of .9 minute. determine the percent of callers who are on hold between 2-3 and 3.8 minutes

User Metalgear
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Final answer:

Approximately 51.22% of callers are on hold between 2.3 and 3.8 minutes, calculated using z-scores and the standard normal distribution for a hold time with a mean of 3.6 minutes and a standard deviation of 0.9 minutes.

Step-by-step explanation:

To determine the percent of callers who are on hold between 2-3 and 3.8 minutes when the hold times are normally distributed with a mean of 3.6 minutes and a standard deviation of 0.9 minutes, we can use the standard normal distribution and z-scores.

First, we calculate the z-scores for 2-3 minutes and 3.8 minutes using the formula:

Z = (X - mean) / standard deviation

For 2.3 minutes:

Z = (2.3 - 3.6) / 0.9 = -1.44

For 3.8 minutes:

Z = (3.8 - 3.6) / 0.9 = 0.22

Next, we find the probability corresponding to these z-scores using the standard normal distribution table or a calculator. For Z = -1.44, the probability is approximately 0.0749, and for Z = 0.22, it is approximately 0.5871. To find the percentage of callers between these two times, take the difference of these probabilities:

Percentage = (0.5871 - 0.0749) * 100%

Percentage = 51.22%

Therefore, approximately 51.22% of callers are expected to be on hold for between 2.3 and 3.8 minutes.

User Troy Howard
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