Table of Contents
- 1 Why would a scientist do repeated trials?
- 2 What does a scientist do when repeated evidence does not support his her hypothesis?
- 3 Why should scientists come up with more than one hypothesis?
- 4 Does repeating an experiment increase accuracy or precision?
- 5 Why is it important to repeat experiments and test hypotheses in different ways?
- 6 When you decide whether or not the data supports the original hypothesis you are?
- 7 How do you test a hypothesis in research?
- 8 What happens if the data does not support the hypothesis?
Why would a scientist do repeated trials?
Repeated trials are conducted to reduce the effect of errors and thus increase the reliability of the results of an experiment. The greater the number of repeated trials, the more confidence you can place in your data when you say that the hypothesis was or was not supported.
What does a scientist do when repeated evidence does not support his her hypothesis?
Formulating a New Hypothesis If the initial hypothesis is not supported, you can go back to the drawing board and hypothesize a new answer to the question and a new way to test it. Either way, the process of experimentation often leads to whole new questions to explore.
Why is it important for scientists to repeat their experiments more than once?
If research results can be replicated, it means they are more likely to be correct. Replication is important in science so scientists can “check their work.” The result of an investigation is not likely to be well accepted unless the investigation is repeated many times and the same result is always obtained.
Why is it important to have evidence to support or refute a hypothesis?
As sufficient data and evidence are gathered to support a hypothesis, it becomes a working hypothesis, which is a milestone on the way to becoming a theory. Though hypotheses and theories are often confused, theories are the result of a tested hypothesis.
Why should scientists come up with more than one hypothesis?
The use of multiple working hypotheses to gain strong inference is widely promoted as a means to enhance the effectiveness of scientific investigation. The surprising rarity of application of multiple working hypotheses suggests that this gap between theory and practice might reflect some fundamental issues.
Does repeating an experiment increase accuracy or precision?
Errors related to accuracy are typically systematic. Uncertainties related to precision are more often random. Therefore, repeating an experiment many times can improve the precision of experimental measurements via statistical averaging, but will not affect the accuracy, since systematic errors never “average away”.
Does data that does not support a hypothesis necessarily mean that the hypothesis is invalid?
It is by no means a failure if your data do not support your hypothesis; in fact, that can be more interesting than the other way around, because you may find a new perspective for looking at the data. Failure to support hypotheses is common in science, and often serves as a starting point for new experiments.
When a hypothesis is proven wrong scientist often begin revising?
Answer: Method, Hypothesis. Explanation: They revise the method to make sure they are using a method that can provide an actual, factually correct outcome and after that they formulate their new hypothesis and then re-do the experiment.
Why is it important to repeat experiments and test hypotheses in different ways?
It is important for scientists to do repeated trials when doing an experiment because a conclusion must be validated. True because the results of each test should be similar. Other scientists should be able to repeat your experiment and get similar results. The only way to test a hypothesis is to perform an experiment.
When you decide whether or not the data supports the original hypothesis you are?
Scientific Method
| Question | Answer |
|---|---|
| 5.What is the dependent variable? | this is what the scientist is measuring |
| 6.When you decide whether or not the data supports the original hypothesis, you are… | drawing conclusions |
| 7.When a scientist shares his/her findings with other scientists, he/she is… | communicating results |
Can you have more than one hypothesis?
A single study may have one or many hypotheses. Usually, we call the hypothesis that you support (your prediction) the alternative hypothesis, and we call the hypothesis that describes the remaining possible outcomes the null hypothesis.
Why can’t scientists repeat research that is done well?
Sometimes the findings of research that was done well can’t be replicated — confirmed by other scientists. The reasons may vary or never be fully understood, new studies find. In the world of science, the gold standard for accepting a finding is seeing it “replicated.” To achieve this, researchers must repeat a study and find the same conclusion.
How do you test a hypothesis in research?
called a hypothesis. Test the hypothesis by collecting more data to see if the hypothesis continues to show the assumed pattern. If the data does not support the hypothesis, it must be changed, or rejected in favor of a better one. In collecting
What happens if the data does not support the hypothesis?
to show the assumed pattern. If the data does not support the hypothesis, it must be changed, or rejected in favor of a better one. In collecting data, one must NOT ignore data that contradicts the hypothesis in favor of only supportive data. (That is called “cherry-picking” and
What is the null hypothesis of a clinical trial?
RESEARCH QUESTIONS EXAMPLE In a clinical trial of a new drug, the null hypothesis might be that the new drug is no better, on average, than the current drug. We would write H0: there is no difference between the two drugs on average. The alternative hypothesismight be that: the new drug has a different effect, on average, compared to that of the