It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
1)Ask a question 2)Make a hypothesis (predict what will happen with your experiment) 3)Research your hypothesis 4)Test your hypothesis 5)Collect/organized your data 6)Results 7)Draw a conclusion
The question is very poorly specified so this answer is simply a wild guess at what the questioner might want. Three possible outcomes of any research, designed to test some hypothesis, are: (a) evidence in support of the hypothesis; (b) evidence disproving the hypothesis; or (c) evidence that can neither prove (support) nor disprove the hypothesis.
Any decision based on the test statistic is marginal in such a case. It is important to remember that the test statistic is derived on the basis of the null hypothesis and does not make use of the distribution under the alternative hypothesis.
An experiment
how will you ensure safety while performing experiment
Make an Experimentation OR Perform an Experimentation .
when there s proof to back it up with evidence or an experiment to test the hypothesis
Data
Through observation, survey, or secondary data
You obtain objective evidence to support it by undertaking experiments designed to test the veracity of the hypothesis.
when there s proof to back it up with evidence or an experiment to test the hypothesis
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
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!
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.
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.