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The scientific method.
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∙ 7y ago
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Why are good observations important to a scientific investigation?
Because good observations ensure accurate data and valid conclusions.
When you synthesize data what are you are doing?
In synthesis, you combine the information gathered and form conclusions based on how the observations compare with each other. (This is opposed to analysis, where the individual observations and data are examined.)
When drawing a conclusion scientist examine the data to see if it supports or fails to support the hypothesis?
Drawing Conclusions
How does a scientist critique another scientists conclusions?
By presenting data that contradict those conclusions
What skill involves comparing observations and data to reach a conclusion about them?
Um i think its predicting and if not then you guess cause i guessed and got it right see ya
Why are good observations important to a scientific investigation?
Because good observations ensure accurate data and valid conclusions.
Manipulation of the collected data for the purpose of drawing conclusions is known as what term?
Observations
What are the scientific steps in solving a problem?
There are five main scientific steps in solving a problem. They are observing, forming hypotheses, testing hypotheses, analyzing data, and evaluating results. During the observing process, scientists make observations and examine prior research. While forming a hypothesis or hypotheses (plural form) scientists ask questions and try to explain the observations. In the process of testing the hypotheses. scientists collect data that they use to support or reject a hypothesis. Analyzing data is when scientists analyze their data to draw conclusions about their research. finally evaluating results, scientists evaluate the data and conclusions presented by other scientists. This a cycle that keeps going on and on.
When you synthesize data what are you are doing?
In synthesis, you combine the information gathered and form conclusions based on how the observations compare with each other. (This is opposed to analysis, where the individual observations and data are examined.)
List and explain scientific processes?
Define a Question to Investigate. As scientists conduct their research, they make observations and collect data. Make Predictions. Based on their research and observations, scientists will often come up with a hypothesis. Gather Data. Analyze the Data. Draw Conclusions. HOPE THIS HELPS :)
Information gathered in an experiment?
In an experiment, information typically includes data collected, observations made, any changes in the variables being studied, results obtained, and any conclusions drawn based on the findings. This information is crucial for analyzing the experiment, interpreting the results, and drawing meaningful insights or conclusions.
Recording and Analyzing data?
In research science it is critically important that you record data precisely and with a high degree of fidelity. Analysis needs to be suited to the data and performed carefully in order to get the best results and support the best observations and conclusions.
Why are careful accurate observations necessary in chemistry practical work?
Because a scientist need serious, reproductible, reliable data to elaborate a theory, to emit conclusions etc..
When drawing a conclusion scientist examine the data to see if it supports or fails to support the hypothesis?
Drawing Conclusions
How observations and data related?
observations are related to data because observations are well observations and data is data so lets see their spelled differently nd stuff nd other stuff 2
How can you use critically in sentence?
You can use "critically" in a sentence to emphasize the importance of carefully evaluating or analyzing something. For example, "It is crucial to critically review the data before drawing any conclusions."
Scientific knowledge is composed of?
The raw data of science are the countless possible observations of the physical world that can be made. What we call knowledge that comes out of the process of science is made up of the conclusions that result from deductive and inductive reasoning. These conclusions can come from many observations of similar objects or processes without experimental manipulation, or it can come from reasoning applied after examining the results of purposefully designed experimentation.
