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Dave drives to work each morning at about the same time. His commute time is normally distributed with a mean of 50 minutes and a standard deviation of 6 minutes.  What percentage of the time will his commute time be greater than 58 minutes?

Question

Dave drives to work each morning at about the same time. His commute time is normally distributed with a mean of 50 minutes and a standard deviation of 6 minutes.  What percentage of the time will his commute time be greater than 58 minutes?

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Solution 1

To answer this question, we need to use the properties of the normal distribution.

Step 1: Calculate the Z-score. The Z-score is a measure of how many standard deviations an element is from the mean. The formula for the Z-score is:

Z = (X - μ) / σ

where: X is the value we are interested in (in this case, 58 minutes), μ is the mean (in this case, 50 minutes), and σ is the standard deviation (in this case, 6 minutes).

So, Z = (58 - 50) / 6 = 1.33

Step 2: Look up the Z-score in the Z-table. The Z-table tells us what percentage of the population is below a certain Z-score. For a Z-score of 1.33, the Z-table tells us that about 90.77% of the population is below this score.

Step 3: Since we want to know the percentage of the time his commute time will be greater than 58 minutes, we need to find the percentage of the population above this Z-score. To do this, we subtract the percentage below the Z-score from 100%.

So, 100% - 90.77% = 9.23%

Therefore, Dave's commute time will be greater than 58 minutes about 9.23% of the time.

This problem has been solved

Solution 2

To answer this question, we need to use the properties of the normal distribution.

Step 1: Calculate the Z-score The Z-score is a measure of how many standard deviations an element is from the mean. We can calculate the Z-score for 58 minutes using the formula:

Z = (X - μ) / σ

where: X = 58 minutes μ = mean = 50 minutes σ = standard deviation = 6 minutes

So, Z = (58 - 50) / 6 = 1.33

Step 2: Look up the Z-score in the Z-table The Z-table tells us what percentage of the population is below a certain Z-score. For a Z-score of 1.33, the value is approximately 0.9082. This means that 90.82% of the time, Dave's commute will be less than 58 minutes.

Step 3: Find the percentage of the time the commute will be greater than 58 minutes Since the total percentage must be 100%, the percentage of the time that the commute will be greater than 58 minutes is 100% - 90.82% = 9.18%.

So, Dave's commute time will be greater than 58 minutes about 9.18% of the time.

This problem has been solved

Solution 3

To answer this question, we need to use the properties of the normal distribution.

Step 1: Calculate the Z-score The Z-score is a measure of how many standard deviations an element is from the mean. We can calculate the Z-score for 58 minutes using the formula:

Z = (X - μ) / σ

where: X = 58 minutes μ = mean = 50 minutes σ = standard deviation = 6 minutes

So, Z = (58 - 50) / 6 = 1.33

Step 2: Look up the Z-score in the Z-table The Z-table tells us what percentage of the population is below a certain Z-score. Looking up a Z-score of 1.33 in the Z-table gives us a value of 0.9082. This means that 90.82% of the time, Dave's commute will be less than 58 minutes.

Step 3: Find the percentage of the time the commute will be greater than 58 minutes Since we know that 90.82% of the time the commute will be less than 58 minutes, we can subtract this from 100% to find out what percentage of the time the commute will be greater than 58 minutes.

100% - 90.82% = 9.18%

So, Dave's commute will be greater than 58 minutes about 9.18% of the time.

This problem has been solved

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