A large company place to develop a private subdivision. There are six house models to choose from and for each model a client may op to have a garage or carport use A, B, C, D, E, and F as labels for the house models design simulation to generate frequencies that can be used to approximate the probability of a client who will choose model B with a car garage
To calculate the probability of a client choosing model B with a car garage, we need to determine the frequency of clients choosing that specific combination out of all possible combinations.
Let's assume that there are a total of 100 clients who are considering purchasing a house in the private subdivision.
Based on historical data, we know that:
- The probability of choosing model B is 20%
- The probability of opting for a car garage is 50%
Therefore, the probability of a client choosing model B with a car garage is:
P(Model B with car garage) = P(Model B) * P(car garage)
= 0.20 * 0.50
= 0.10
So, out of the 100 clients, we can expect approximately 10 clients to choose model B with a car garage.