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What else can I help you with?
How do scientists decide whether or not to reject or accept a hypothesis?
if the hypothesis is proven to be correct or incorrect
What does it mean if a scientist can't reject a hypothesis?
It means that she or he has to accept that the existing hypothesis appears to be true.
How do scientists determine whether to accept or reject their hypothesis?
Scientists determine whether to accept or reject their hypothesis by conducting experiments and collecting data to test its predictions. They analyze the results statistically to assess if the evidence supports the hypothesis or not. If the data consistently contradicts the hypothesis, it is rejected; if it aligns with the predictions, the hypothesis may be accepted or revised accordingly. Peer review and replication of results by other scientists further validate the findings.
What would be the best thing to do if you run an experiment and find out the hypothesis is incorrect?
Reject the hypothesis.
What dose it mean if a scientist fails to reject a hypothesis?
It means there is no reason why he should reject it, whether because there is no evidence to the contrary or because an experiment set up to test it affirmed that hypothesis.
Can you accept and reject the null Hypothesis Why or why not?
Some people say you can either accept the null hypothesis or reject it. However, there are statisticians that insist you can either reject it or fail to reject it, but you can't accept it because then you're saying it's true. If you fail to reject it, you're only claiming that the data wasn't strong enough to convince you to choose the alternative hypothesis over the null hypothesis.
Would I accept or reject the null hypothesis if the probability of the obtained statistic is 0.001 and alpha is 0.05?
You should reject the null hypothesis.
What do scientist do after they have tested a hypothesis?
Depending on the results of that test, either accept or reject that hypothesis.
How do scientists decide whether or not to reject or accept a hypothesis?
if the hypothesis is proven to be correct or incorrect
What does the researcher hope to do with the null hypothesis (the opposite of the research hypothesis)?
Be able to reject the null hypothesis and accept the research hypothesis
What does the researcher hope to do with null hypothesis the opposite of the research hypothesis?
Be able to reject the null hypothesis and accept the research hypothesis
What does the researcher hope to do with the null hypothesis (the opposite of the research hypothesis)?
Be able to reject the null hypothesis and accept the research hypothesis
What is test statistic?
This is used in statistic to know whether to accept or reject a null hypothesis or alternative hypothesis
What does it mean if a scientist can't reject a hypothesis?
It means that she or he has to accept that the existing hypothesis appears to be true.
Difference between acceptance and rejection region?
Some researchers say that a hypothesis test can have one of two outcomes: you accept the null hypothesis or you reject the null hypothesis. Many statisticians, however, take issue with the notion of "accepting the null hypothesis." Instead, they say: you reject the null hypothesis or you fail to reject the null hypothesis. Why the distinction between "acceptance" and "failure to reject?" Acceptance implies that the null hypothesis is true. Failure to reject implies that the data are not sufficiently persuasive for us to prefer the alternative hypothesis over the null hypothesis.
What is the accept-reject decision?
The accept-reject decision is a mechanism used in various contexts, such as statistical hypothesis testing or sampling methods, to determine whether to accept or reject a proposed hypothesis or sample based on specific criteria. In hypothesis testing, if the evidence (e.g., p-value) is below a predetermined threshold (like 0.05), the null hypothesis is rejected in favor of the alternative hypothesis. In sampling, a proposed item may be accepted if it meets quality standards or rejected if it does not. This decision-making process helps ensure the validity and reliability of outcomes in research and quality control.
In what cases one can state the null hypotheses true?
There is no truth in science. Truth is only meaningful in math, philosophy, religion and logic. A hypothesis can never be true. You either accept or reject a hypothesis. You accept the null hypothesis if you fail to reject it.
