1) what are five skills scientist use to learn about the world?
2) what are inferences based on?
3) why do scientist make models?
¢¾¢¾plz, plz help me.... i totally need help on this¢¾¢¾
1)observation, assumption, measurement, inference and prediction.
Thats all I can say ;-;
Do not cheat just learn!
1) Scientists use a variety of skills to learn about the world. Here are five key skills they often rely on:
a) Observation: Scientists carefully observe and collect data from the natural world or specific experiments. They utilize their senses, instruments, and technology to record observations accurately.
b) Critical thinking: Scientists use logical reasoning and critical thinking skills to analyze the data they have gathered. This involves evaluating the evidence, identifying patterns or trends, and drawing meaningful conclusions.
c) Experimentation: Scientists design and conduct experiments to test hypotheses and gather data. By manipulating and controlling variables, they can determine cause-and-effect relationships and better understand phenomena.
d) Data analysis: Scientists must possess strong analytical skills to interpret and make sense of the data they collect. They use statistical techniques, graphs, and other tools to analyze their findings and draw conclusions.
e) Communication: Scientists need to effectively communicate their findings to others. This includes writing scientific papers, giving presentations, and engaging in discussions to share their knowledge and contribute to the scientific community.
2) Inferences are based on evidence. In science, an inference is a conclusion drawn from observations and data. Scientists make inferences by reasoning logically from the evidence they have gathered. They carefully analyze the data, identify patterns or relationships, and use their knowledge and understanding of scientific principles to draw logical conclusions. It is important for scientists to provide evidence to support their inferences and to ensure that their conclusions are valid and reliable.
3) Scientists make models for a variety of reasons. A model is a simplified representation or simulation of a complex system or phenomenon. Here are a few reasons why scientists create models:
a) Explanation: Models allow scientists to explain complex concepts or systems in a simpler and more understandable way. By breaking down a complex phenomenon into its essential components, a model can provide insights into how it works and help convey the underlying principles to others.
b) Prediction: Models can be used to make predictions about how a system will behave or how certain variables will interact. By inputting different values into the model, scientists can explore different scenarios and understand potential outcomes.
c) Visualization: Models provide a visual representation of abstract or intricate concepts. They can help scientists and others visualize how different parts of a system fit together or how different variables interact, making it easier to understand and analyze.
d) Testing hypotheses: Models can be used to test hypotheses or theories before conducting expensive or time-consuming experiments. Scientists can create virtual models that simulate the behavior of a system and then analyze the results to gain insights into whether their hypothesis is plausible.
It's important to note that models are simplifications and approximations of reality. They are tools that help scientists understand and predict the behavior of complex systems but may not perfectly represent the real world in all its complexity.