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A hypothesis can be considered more robust and reliable as it is supported by a greater number of repeated trials yielding consistent results. However, there is no fixed number of trials that guarantees acceptance; the validity of a hypothesis also depends on the quality of the data, the experimental design, and the statistical significance of the results. Ultimately, a hypothesis is accepted provisionally based on the weight of evidence rather than a specific count of trials. Continuous testing and peer review are essential for establishing scientific consensus.
So that you could compare results
To verify a hypothesis, you can conduct experiments or gather observational data to test its predictions. This involves designing a study that controls for variables and allows for repeatability. Analyzing the results statistically can help determine whether the data supports or refutes the hypothesis. Ultimately, the hypothesis is confirmed if the evidence consistently aligns with its predictions across multiple trials or observations.
Scientists determine whether a hypothesis is supported by conducting experiments or observations that yield data related to the hypothesis. They analyze the results using statistical methods to assess if the data aligns with the predictions made by the hypothesis. If the evidence consistently supports the hypothesis across multiple trials and is reproducible, it is considered supported; otherwise, it may be rejected or revised. Ultimately, peer review and further experimentation contribute to validating the findings.
A hypothesis is determined to be correct or incorrect through systematic experimentation and observation. Researchers conduct experiments to test the predictions made by the hypothesis, collecting data to see if the results align with the expected outcomes. If the data supports the hypothesis consistently across multiple trials, it may be considered valid; if not, the hypothesis may be rejected or revised. Peer review and replication by other scientists also play crucial roles in validating scientific hypotheses.
A hypothesis is tested by having trials
Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.
Number of trials is how many times you test your hypothesis. When you are doing trials the end result may come out differently every time.
A hypothesis can be considered more robust and reliable as it is supported by a greater number of repeated trials yielding consistent results. However, there is no fixed number of trials that guarantees acceptance; the validity of a hypothesis also depends on the quality of the data, the experimental design, and the statistical significance of the results. Ultimately, a hypothesis is accepted provisionally based on the weight of evidence rather than a specific count of trials. Continuous testing and peer review are essential for establishing scientific consensus.
An hypothesis is an assumption that is taken to be true or valid for the purposes of scientific debate or research .
Begs Jack never
So that you could compare results
proving a hypothesis to be false.
its because are made after lots of observations,experiments,trials,and conclusion only that theory is widely acceptable
If a hypothesis has been tested many times (using approved experimental methods), and each test has proven the hypothesis to be true, the hypothesis can be taken to be a fact, or truth.
To verify a hypothesis, you can conduct experiments or gather observational data to test its predictions. This involves designing a study that controls for variables and allows for repeatability. Analyzing the results statistically can help determine whether the data supports or refutes the hypothesis. Ultimately, the hypothesis is confirmed if the evidence consistently aligns with its predictions across multiple trials or observations.
the answer is just before the hypothesis is made.