Solving a Probability Problem in Construction Planning

In summary, the question is asking for the probability of completing a project in 43 days or fewer with a mean of 50 days and a standard deviation of 3.06 days. Using the standard normal distribution, the z value is found to be -2.312, and the corresponding probability is 0.0103 or approximately 1%.
  • #1
tomtk
1
0
Hi from Melbourne.

I have a rudimentary probability question that you will probably find amusing but hopefully you can also help me!

I am studying construction planning and this question is taken from an old exam paper.

Homework Statement



"Risk analysis: At 5% level of significance, what is the probability of completing the project at or earlier than the employer's desired duration in the question above.

The question above requires that project is completed 7 days earlier than the normal duration, μ

Where:
Mean, μ = 50
Required duration, D = 43
Variance, σ² = 3.06
Standad deviation, σ = 1.749

Homework Equations



I assume Z = D - μ / √σ²

The Attempt at a Solution



I thought the answer would be z=43-50/√3.06
This gives 4.001, would this mean there is a less than 1% probability of the project being completed in 43 days?

On further reading I also discovered that a 5% level of significance is the same as a 95% confidence interval? If this is the case, doesn't this make the z value 1.645? In which case none of the variables for the equation are unknown.

As you can see I have got myself very confused :

Any and all help will be greatly appreciated. I'll have this forum open all day (and night)!
 
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  • #2
tomtk said:
Hi from Melbourne.

I have a rudimentary probability question that you will probably find amusing but hopefully you can also help me!

I am studying construction planning and this question is taken from an old exam paper.

Homework Statement



"Risk analysis: At 5% level of significance, what is the probability of completing the project at or earlier than the employer's desired duration in the question above.

The question above requires that project is completed 7 days earlier than the normal duration, μ

Where:
Mean, μ = 50
Required duration, D = 43
Variance, σ² = 3.06
Standad deviation, σ = 1.749

Homework Equations



I assume Z = D - μ / √σ²
You need parentheses here.

z = (x - μ )/ σ

tomtk said:

The Attempt at a Solution



I thought the answer would be z=43-50/√3.06
You need parentheses here, too, otherwise this will be interpreted as 43 - (50/√3.06
).

The answer to the question is not a value of z - it's the probability of completing the project at or earlier than the employer's desired duration (43 days).
tomtk said:
This gives 4.001, would this mean there is a less than 1% probability of the project being completed in 43 days?
Wouldn't this give you a z value of -4.001? Where are you getting a probability of 1%?
tomtk said:
On further reading I also discovered that a 5% level of significance is the same as a 95% confidence interval?
Yes.
tomtk said:
If this is the case, doesn't this make the z value 1.645? In which case none of the variables for the equation are unknown.
The mean length of jobs is 50 days, with a standard deviation of 3.06 days. What fraction of jobs are done in 43 days or fewer? To answer this question look at the standard normal distribution to see how much area under the curve corresponds to your (corrected) z value.
 

FAQ: Solving a Probability Problem in Construction Planning

What is the importance of solving probability problems in construction planning?

Solving probability problems in construction planning helps to identify potential risks and uncertainties that may impact the project. It allows for better decision-making and planning to mitigate these risks and ensure a successful project completion.

How do you calculate the probability of an event occurring in construction planning?

The probability of an event occurring in construction planning can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This is known as the classical probability formula.

What are some common probability distributions used in construction planning?

Some common probability distributions used in construction planning include the normal distribution, Poisson distribution, and binomial distribution. These distributions can help to determine the likelihood of certain events, such as delays or cost overruns, happening in a project.

How can Monte Carlo simulation be applied to solve probability problems in construction planning?

Monte Carlo simulation is a method for solving probability problems by running multiple simulations with different inputs and variables. In construction planning, this can be used to analyze the potential impact of various risks and uncertainties on the project schedule and budget.

How can solving probability problems in construction planning help with resource allocation?

Solving probability problems in construction planning can help with resource allocation by identifying potential delays or cost overruns that may require additional resources. It can also help to optimize the allocation of resources by taking into account the likelihood of certain events occurring.

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