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They still chart the data. Then they go back to their hypothesis and change it/fix it up a bit. After they have a new (but one that still relates to their old hypothesis) hypothesis, they re-do their experiment.
Ex) "I believe girls have better quiz scores than boys because they have better short term memory"
If your hypothesis is incorrect (ie: the boys do better) then you need to change the hypothesis and test it again--> "I believe girls have better quiz scores because they have better long term memory".
What else can I help you with?
Scientists make blank to help them make a hypothesis or collect data during an experiment?
Scientists make observations to help them make a hypothesis or collect data during an experiment.
What is a summary that explains whether the data support the hypothesis?
To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.
What do scientists make to help them make a hypothesis and collect data?
Scientists make observations.
If the data from an experiment does not support your hypothesis can you revise it or come up with a new one?
Yes. That's the whole point of experiments. If you reckon something will happen, but it doesn't then you have to change your hypothesis. Or your experimental method. Which is why scientists self regulate by publishing claims that other scientists then try to recreate or disprove. Or even just criticise your methods.If your data doesn't support your hypothesis, but you doggedly stick to it anyway, you've created religion.
Why might scientists rethink a hypothesis?
The scientists might Rethink there Hypothesis because when they collect more data they would know more about what they are doing so they would rethink there hypothesis
What would a scientists next steps be if his or her data failed to support his or her hypothesis?
Discard or change the hypothesis
When drawing a conclusion scientists examine the data to see if it supports or fails to support the hypothesis?
I no
How can data not support your hypothesis?
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.
What can scientists do if their test do not support their hypothesis?
Amend or discard the hypothesis
What can scientists do if their tests do not support their hypothesis?
Amend or discard the hypothesis
What is it called when scientists state whether their data confirmedor rejected the hypothesis?
When scientists evaluate whether their data confirmed or rejected the hypothesis, it is referred to as hypothesis testing. This process involves analyzing the results of experiments or observations to determine if they support or contradict the initial hypothesis formulated before the research. If the data supports the hypothesis, it may lead to further investigation; if it rejects the hypothesis, researchers may revise their understanding or formulate new hypotheses.
Is it true that when drawing a conclusion scientists examine the data to see if it supports or fails to support the hypothesis?
Ideally that is how it goes, yes.
What should you do if your data doesnt support your hypothesis?
Reevaluate your hypothesis, or reject the hypothesis. You should also recheck your data.
What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
Scientists make blank to help them make a hypothesis or collect data during an experiment?
Scientists make observations to help them make a hypothesis or collect data during an experiment.
What is the series of steps scientists use to answer questions and solve problems?
Ask a question. Collect information. Form a hypothesis. Perform an experiment. Collect data and analyze data. Interpret data. If data support your hypothesis, draw conclusions. If they don't, form a new hypothesis and re-do the process. Publish your results. Repeat experiments.
What is a summary that explains whether the data support the hypothesis?
To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.
