22.1k views
1 vote
A future project has an uncertain finish time and the finish time follows a normal distribution. The project's expected finish time is 32 weeks, and the project variance is 9 weeks. If the project deadline is set to be 21 weeks, then what is the probability that the project would need more than the given deadline to complete?

User Amir Katz
by
8.5k points

1 Answer

3 votes

Final answer:

The probability that the project will need more than 21 weeks to complete can be found by standardizing the deadline using a z-score calculation and then subtracting the value found from 1. A z-score of -3.67 indicates a high probability that the project will take longer than 21 weeks.

Step-by-step explanation:

To find the probability that the project will need more than 21 weeks to complete when it has an expected finish time of 32 weeks with a variance of 9 weeks (which implies a standard deviation of 3 weeks since the standard deviation is the square root of variance), we use the normal distribution. We first standardize the deadline time (21 weeks) using a z-score calculation.

The formula for the z-score is: Z = (X - μ) / σ

Where:

  • X is the deadline time
  • μ (mu) is the mean finish time
  • σ (sigma) is the standard deviation

Plugging in the numbers, we get:

Z = (21 - 32) / 3

Z = -11 / 3

Z = -3.67

This z-score tells us how many standard deviations below the mean our deadline is. To find the probability of completing the project after this deadline, we look up the z-score in a standard normal distribution table or use a computational tool. This will give us the probability that a value is less than our z-score. Since we want the probability of being greater, we subtract this value from 1.

Typically, a z-score of -3.67 would give us a very high probability (close to 1) because 21 weeks is well below the mean. Therefore, it's almost certain that the project will take longer than 21 weeks.

User Terrorfall
by
7.9k points