Analysis involves looking for possible errors in the data as well as useful patterns. It usually involves creating summaries such as tables, and displays, which could be helpful in understanding the set of data as a whole. Often analysis involves testing hypotheses or formulating conjectures for subsequent study.
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Statistical data refers to data being taken from someone elses findings
Scientists create graphs to visually represent data and to better understand patterns and relationships within the data. Graphs allow scientists to analyze and interpret information more easily, identify trends, and communicate their findings to a wider audience. Graphs also help scientists make predictions and draw conclusions based on the data they have collected.
Scientists often answer questions with a number because using quantitative data allows for more precise and objective results. Numbers provide a way to measure and quantify phenomena, which helps in analyzing patterns, making comparisons, and drawing conclusions. Additionally, numerical data can be statistically analyzed to determine the significance or reliability of the findings.
You can definitely use a table or graph to what your findings. You can use a bar graph for this purpose for example.
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