Many of the techniques of descriptive statistics fall into the category described by this question. The most obvious ones that fit are the graphical methods.
A graph would be used.
a graph
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I don't think there was a scientist because it was in ancient times sorry i couldn't help
HDL's can be useful because they help clear away the LDL's that could clog your arteries.
In cases where things are on such a huge scale that it becomes hard for scientists to study, it's important for a scientist to construct a model. Scientists create models to learn about complex phenomenon and to simulate real conditions. For example, it may be easier to study global warming on a small model than studying it across the entire earth.
Basically think of it in 3D.
graph
variable
The Answers Is: Graph P.S. I Think you cant think you have to know
They give a visual interpretation of the data.
Graphing helps scientists to interpret data. It makes a visual format that shows patterns that help to analyze data and make predictions to disprove or support a hypothesis.
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to interpret outside data and help adapt to it.
A data visualization tool can help you interpret data by presenting it in easy-to-understand charts or graphs. It allows you to identify trends, patterns, and correlations in the data more effectively. Data visualization tools can range from simple tools like Excel to more advanced tools like Tableau or Power BI.
computers and sceintific insturments
explain large bodies of data
yes computers hel scietist find data
observations