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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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What is secondary data in statistics?
Statistical data refers to data being taken from someone elses findings
Why do scientists create graphs?
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.
Why do scientist answer questions with a number?
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 use a table or graph to what your findings?
You can definitely use a table or graph to what your findings. You can use a bar graph for this purpose for example.
You can use a table or a graph to your findings?
organize
What is secondary data in statistics?
Statistical data refers to data being taken from someone elses findings
What are the methods of facts findings?
things used when finding a data base
What is it called when scientists state whether there data confirmed or rejected the hypothesis?
findings/conclusion
What are findings from an experiment called?
Experimental findings are usually called data which is the plural of datum. Once they have been analyzed they might be summarized into a new hypothesis which could be presented as a result.
Data from a scientific investigation should be presented in what format?
Data from a scientific investigation is typically presented in tables, charts, graphs, and figures to effectively visualize and summarize the findings. This allows for easier interpretation and comparison of results. Additionally, it is essential to include a written description or analysis of the data to provide context and explain the significance of the findings.
What other data do you need to further support your conclusion?
A reliable investigation will allow you to make conclusions that are supported by the data you have collected,and that reflect the findings of other scientists.
Suggest how scientists shar data with each other today?
they either use peer review or publish their findings
What is it call when scientist states whether data confirmed or rejected the hypothesis?
Drawing a conclusion apex
What is the purpose of a space shuttle?
to go into space and make findings and collect data. :-) Covert mission was chemtrails in space for HAARP
Why do scientists create graphs?
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.
What are subjective find?
Subjective findings are observations or interpretations made by an individual based on personal feelings, beliefs, or opinions. These findings are not solely based on objective or measurable data, but rather on the individual's perspective or experience. Subjective findings can vary among different people and may not always be consistent or universally accepted.
What are the basic steps of the qualitative research method?
Basic steps of the qualitative research method include defining the research question, collecting data through methods like interviews or observations, analyzing the data by identifying themes or patterns, and drawing conclusions based on the findings. It is crucial to ensure data validity and reliability throughout the process.
