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A hypothesis is a testable statement. To check the accuracy of your statement, you need to design an experiment to test it and collect data. Then you analyze your data to see how well it supported your hypothesis.

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Q: Why is it important to test your hypothesis and collect evidence?
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Related questions

What type of evidence will you collect to test your hypothesis?

how will you ensure safety while performing experiment


What is the next step in the scientific method following the formation a hypothesis?

Make an Experimentation OR Perform an Experimentation .


How does a hypothesis become a scientific hypothesis?

when there s proof to back it up with evidence or an experiment to test the hypothesis


What is the evidence that scientist gather to test a hypothesis?

Data


How can you collect data to test your hypothesis?

Through observation, survey, or secondary data


How do you support a hypothesis?

You obtain objective evidence to support it by undertaking experiments designed to test the veracity of the hypothesis.


How does a scientific hypothesis become an accepted theory?

when there s proof to back it up with evidence or an experiment to test the hypothesis


What null hypothsis?

It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.


What is null hypothsis?

It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.


Parts of the scinetific method?

Ask a question. Form a hypothesis. Prodedure. Data. Evidence. Conclusion. Reasons for error.There are many other forms of the scientific method. If this is not useful... One word for ya... GOOGLE!


Why is it important to develop a scientific hypothesis that is testable?

Having a testable hypothesis is crucial because it allows for experiments to be designed to either support or refute the hypothesis. This helps to ensure that the conclusions drawn from the research are based on evidence. Testable hypotheses also promote reproducibility and reliability in scientific studies.


How is H1 hypothesis rejected?

H1 hypothesis is rejected when the p-value associated with the test statistic is less than the significance level (usually 0.05) chosen for the hypothesis test. This indicates that the data provides enough evidence to reject the alternative hypothesis in favor of the null hypothesis.