Setting Up Probability for Casting Concrete: E1, E2, and E3 Events Defined

In summary, on a day given, casting concrete depends on the availability of material, which can be produced and sent to the site from a premix concrete supplier. However, the availability of premix concrete is not guaranteed and casting cannot be performed if it is raining. The events A and B can be defined as follows: A = Casting concrete elements can be performed on a day (E2 and E3) and B = Casting concrete elements cannot be performed on a day (E1 or E2'). Additionally, E2 and E3 are statistically independent of E1.
  • #1
HeheZz
11
0
This is my question:

E1 = there is no rain
E2 = concrete material production is feasible
E3 = premix concrete is available

On a day given, casting concrete depend on the availability of material. The required material may be produced and send to the site from premix concrete supplier. However, it is not certain the premix concrete will always be available. Furthermore, whenever when its raining, casting cannot be perform.
The following events were defined: P(E1) = 0.8, P(E2)=0.7, P(E3|E2')=0.6

Identify the following events in terms of E1, E2, E3.
A = Casting concrete elements can be performed on a day
B = Casting concrete elements cannot be performed on a day

E2 and E3 are statistically independent of E1
 
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  • #2
Is this a homework question? If so, you need to post it in the homework forum with your attempt at a solution.
 

1. What is probability?

Probability is a measure of the likelihood of an event occurring. It is a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty. In other words, it is the chance that something will happen.

2. How is probability calculated?

Probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This is known as the probability formula: P(A) = Number of favorable outcomes / Total number of possible outcomes.

3. What is the difference between theoretical and experimental probability?

Theoretical probability is based on what should happen in an ideal situation, while experimental probability is based on what actually happens in real-world trials or experiments. Theoretical probability can be calculated using mathematical formulas, while experimental probability requires collecting data through observation or experimentation.

4. How is probability used in real life?

Probability is used in many real-life situations, such as predicting the weather, gambling, insurance, and medical diagnoses. It is also used in decision-making and risk analysis, as well as in fields such as finance, economics, and engineering.

5. What are some common misconceptions about probability?

One common misconception is that a low probability event is impossible, when in reality it is just less likely to occur. Another misconception is that past events can influence the probability of future events, when in fact each event is independent and has its own probability. Additionally, the law of large numbers states that as the number of trials or experiments increases, the experimental probability should approach the theoretical probability, but this does not guarantee that the next trial will follow the same pattern.

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