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Bot GPT 3.5 To simulate the selection of a house model with a garage or carport, we can use a random number generator to determine the choices made by clients. We can assign numbers 1-6 to represent each house model, and another set of numbers 1-2 to represent the choice of garage (1) or carport (2).
Here is a Python code snippet to simulate this scenario:
```python
import random
# List of house models
house_models = ['A', 'B', 'C', 'D', 'E', 'F']
# Simulation parameters
num_simulations = 1000
model_B_with_garage_count = 0
# Run simulations
for _ in range(num_simulations):
# Randomly select a house model
model_choice = random.choice(house_models)
# If model B is chosen with a garage, increment count
if model_choice == 'B' and random.randint(1, 2) == 1:
model_B_with_garage_count += 1
# Calculate probability
probability = model_B_with_garage_count / num_simulations
print(f"Probability of choosing model B with a garage: {probability}")
```
This code will simulate the selection of house models with garages or carports, and calculate the probability of a client choosing model B with a garage. By running this simulation multiple times, we can generate frequencies that can be used to approximate the probability.
Dancer_🩰