computer
Scientist are always testing their models to get new information or results, but other times learning evidence makes scientist have to change their models so scientist can change their models in theory.
Mathematical models are abstract representations that use mathematical language to describe real-world systems, phenomena, or relationships. They consist of variables and equations that quantify relationships and can be used to predict outcomes or simulate scenarios. These models are widely used across various fields, including engineering, economics, biology, and social sciences, to analyze complex systems and inform decision-making. By simplifying reality, mathematical models help in understanding and solving practical problems.
Some people find visual representation helps. (I do not.)
Models are useful in visualizing things much bigger or smaller than us because they provide a tangible representation of scale and complexity that is otherwise difficult to comprehend. For instance, architectural models help us understand large structures, while microscopic models reveal details of tiny organisms or cells. These representations allow us to analyze and interact with concepts that are beyond our immediate perception, enhancing our understanding and communication of complex ideas. Additionally, models can simplify intricate systems, making them more accessible and easier to study.
computer
computer
It's not spreadsheet, it's computer
With a model, a scientist can explain or analyze an object, system, or concept in more detail.
With a model, a scientist can explain or analyze an object, system, or concept in more detail.
Scientist are always testing their models to get new information or results, but other times learning evidence makes scientist have to change their models so scientist can change their models in theory.
they use models to demonstrate to others. It gives them a better perspective of what they're learning.
Making models
i think this is the answer but anyway... Scientist can create models from large amounts of data from many different variables. if this is not correct i will check it on Fridaytomorrow.
Scientists use various tools to create models, analyze data, and present results, including software applications like MATLAB, R, and Python for data analysis and visualization. Additionally, simulation software such as COMSOL and ANSYS helps in modeling complex systems. Data visualization tools like Tableau and Excel aid in displaying results clearly. Together, these tools facilitate the understanding and communication of scientific findings.
to show proof or demonstrate how did they do it
A scientist might choose to create a model when the system under study is too complex to analyze directly, such as in cases involving numerous interacting variables or processes. Models can also be useful for predicting outcomes under various scenarios, testing hypotheses, or simulating conditions that are difficult or impossible to observe directly. Additionally, models can help in visualizing data and understanding relationships between different components of a system.
Actuaries use mathematical models and statistical techniques to analyze risk and to create and price accident/health products.