0
Supporting evidence strengthens a hypothesis by providing validation and credibility to the proposed explanation. It helps to demonstrate that the hypothesis is grounded in observable data, making it more likely to be accepted by the scientific community. Additionally, strong evidence can lead to further investigation and experimentation, potentially leading to a broader understanding of the subject at hand. Conversely, a lack of supporting evidence may weaken a hypothesis and prompt reevaluation or rejection.
What else can I help you with?
Can a hypothesis lead to a theory.?
Yes, because if enough people prove the hypothesis and produce evidence supporting it it can become a theory.
Is an unsupported hypothesis a bad hypothesis?
No because a hypothesis s an educated guess..It doesn't need supporting details only you final conclusion needs evidence
Which hypothesis is given a favored status in hypothesis testing?
In hypothesis testing, the null hypothesis (denoted as H0) is given favored status. It represents a default position that indicates no effect or no difference, and it is the hypothesis that researchers aim to test against. The alternative hypothesis (H1 or Ha) suggests that there is an effect or a difference, but the null hypothesis is retained unless there is sufficient evidence to reject it. Thus, the aim of hypothesis testing is to determine whether to reject the null hypothesis in favor of the alternative.
What observations must a scientist make in order to collect evidence to support his or her hypothesis?
To collect evidence supporting a hypothesis, a scientist must make systematic observations related to the variables in question. This includes gathering quantitative data through measurements, as well as qualitative data through detailed descriptions of phenomena. Additionally, the scientist should control for external factors to isolate the effects of the independent variable, ensuring that the observations are reliable and valid. Finally, repeated trials and peer reviews of the findings can further strengthen the evidence supporting the hypothesis.
What is more helpful proving a hypothesis wrong or supporting a hypothesis why?
Proving a hypothesis wrong is often more helpful because it allows researchers to refine their understanding of a phenomenon, leading to stronger, more accurate theories. This process, known as falsification, helps eliminate incorrect ideas and guides further investigation. Supporting a hypothesis can provide evidence for a concept, but it may also lead to confirmation bias, where researchers overlook contradictory evidence. Ultimately, challenging existing hypotheses drives scientific progress and innovation.
Is a hypothesis is more certain than a theory in science?
No. A theory is more certain: it is a hypothesis which has had some supporting evidence.
Can a hypothesis lead to a theory.?
Yes, because if enough people prove the hypothesis and produce evidence supporting it it can become a theory.
What is a supporting hypothesis?
A well-supported hypothesis is a theory that appears to have a lot of evidence behind it. This evidence helps to make it seem likely that the hypothesis is true, but it is still just a theory until it has been proven.
Is an unsupported hypothesis a bad hypothesis?
No because a hypothesis s an educated guess..It doesn't need supporting details only you final conclusion needs evidence
Wegeners hypothesis of continental drift was finally confirmed by?
evidence supporting the idea of sea-floor spreading.
What does it mean to support or refute a hypothesis?
To support a hypothesis means you agree, and may even give supporting evidence.To refute it means you submit evidence that a hypothesis is incorrect , or you make a cogent and persuasive argument against it.
Who proposed the microscopic solar system?
it was proposed by edward Édouard Roche it's not so real .... no supporting evidence is there for this hypothesis
What is the evidence supporting the hypothesis of continental dift?
Evidence supporting the hypothesis of continental drift includes the fit of continental coastlines, matching rock formations and fossils across continents, and the alignment of mountain ranges. Additionally, the distribution of ancient glacial deposits and paleoclimate data further support the idea that continents were once connected.
What is rejection of the null 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.
How do you write a good science story?
The key to a good science story is facts. Do your research and include lots of them as supporting evidence for your hypothesis or topic.
Which hypothesis is given a favored status in hypothesis testing?
In hypothesis testing, the null hypothesis (denoted as H0) is given favored status. It represents a default position that indicates no effect or no difference, and it is the hypothesis that researchers aim to test against. The alternative hypothesis (H1 or Ha) suggests that there is an effect or a difference, but the null hypothesis is retained unless there is sufficient evidence to reject it. Thus, the aim of hypothesis testing is to determine whether to reject the null hypothesis in favor of the alternative.
What observations must a scientist make in order to collect evidence to support his or her hypothesis?
To collect evidence supporting a hypothesis, a scientist must make systematic observations related to the variables in question. This includes gathering quantitative data through measurements, as well as qualitative data through detailed descriptions of phenomena. Additionally, the scientist should control for external factors to isolate the effects of the independent variable, ensuring that the observations are reliable and valid. Finally, repeated trials and peer reviews of the findings can further strengthen the evidence supporting the hypothesis.
