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.
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.
Rejection of the null hypothesis occurs in statistical hypothesis testing when the evidence collected from a sample is strong enough to conclude that the null hypothesis is unlikely to be true. This typically involves comparing a test statistic to a critical value or assessing a p-value against a predetermined significance level (e.g., 0.05). If the evidence suggests that the observed effect is statistically significant, researchers reject the null hypothesis in favor of the alternative hypothesis. This decision implies that there is sufficient evidence to support a relationship or effect that the null hypothesis posits does not exist.
To carry out a significance test, follow these steps: first, formulate the null hypothesis (H0) and the alternative hypothesis (H1). Next, choose an appropriate significance level (commonly 0.05) and collect your data. Then, calculate the test statistic using the relevant statistical method (e.g., t-test, chi-square test) and determine the p-value. Finally, compare the p-value to the significance level; if the p-value is less than the significance level, reject the null hypothesis in favor of the alternative hypothesis.
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
The step of the scientific method where you test the hypothesis is called experimentation. During this phase, researchers design and conduct experiments to collect data that will either support or refute the hypothesis. This process often involves manipulating variables and observing the outcomes to draw conclusions based on empirical evidence.
Through observation, survey, or secondary data
You obtain objective evidence to support it by undertaking experiments designed to test the veracity of 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.
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.
Evidence tests a hypothesis by providing data that either supports or refutes it. This process involves collecting observations or experimental results that are relevant to the hypothesis. If the evidence consistently aligns with the predictions made by the hypothesis, it strengthens its validity; if the evidence contradicts the hypothesis, it may lead to its rejection or revision. Ultimately, rigorous testing and evaluation of evidence are essential for establishing scientific credibility.
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!