Probability models help us predict things like the weather and natural disasters. However, these predictions are not always very accurate because of a few reasons:
Data Limitations: Sometimes, we don’t have all the data we need. This missing information can lead to wrong predictions.
Complexity of Systems: Weather is affected by many different factors. This makes it hard to calculate and understand what will happen.
Unpredictability: Natural disasters can be very chaotic. This means predicting them is quite tricky and often impossible.
To make better predictions, we need to improve how we collect data and use better computer models.
Probability models help us predict things like the weather and natural disasters. However, these predictions are not always very accurate because of a few reasons:
Data Limitations: Sometimes, we don’t have all the data we need. This missing information can lead to wrong predictions.
Complexity of Systems: Weather is affected by many different factors. This makes it hard to calculate and understand what will happen.
Unpredictability: Natural disasters can be very chaotic. This means predicting them is quite tricky and often impossible.
To make better predictions, we need to improve how we collect data and use better computer models.