you learn from the experiment. that's the point of the experiment
The most important thing about a hypothesis is that it is testable and falsifiable. This means that the hypothesis can be supported or rejected based on evidence gathered from experiments or observations.
If a hypothesis does not explain an observation, it may be rejected as a valid explanation for that particular phenomenon. Scientists typically revise or discard hypotheses that fail to account for observed data in order to develop more accurate models and theories. This iterative process helps refine our understanding of the natural world.
The Big Bang is a theory in cosmology that explains the origin and evolution of the universe, supported by a significant amount of observational evidence. It is not a hypothesis, as a hypothesis is an initial explanation to be tested and either supported or rejected based on evidence.
A scientific hypothesis is a proposed explanation for a set of observations that can be tested through experiments or data collection. If the collected data supports the hypothesis, it is considered valid; if not, the hypothesis is rejected or modified. This process helps scientists understand natural phenomena and develop theories that accurately represent the world.
Rigorously controlled experiments can provide evidence to support or refute a hypothesis, but they cannot definitively prove a hypothesis. Scientific hypotheses are continually evaluated, refined, and occasionally rejected based on new evidence and further experimentation.
It is when you know that your hypothesis is wrong.
A hypothesis will be rejected if it fails the necessary testing required for it to become a scientific theory.
The most important thing about a hypothesis is that it is testable and falsifiable. This means that the hypothesis can be supported or rejected based on evidence gathered from experiments or observations.
The answer to the question why is this: It can be rejected at a later date because it is falsifiable in nature if it is a good hypothesis. If you meant to ask HOW it can be rejected, the answer is by way of further experimentation that rules out some or all of the hypothesis as stated.
The hypothesis test.
no. you need to have solid proof that it exist.. else it will be rejected.
To determine whether Fleming's hypothesis should be supported or rejected based on an experiment, one would need to analyze the results of the experiment in relation to the hypothesis. If the data from the experiment aligns with the predictions made by Fleming's hypothesis, then it should be supported. However, if the results contradict the hypothesis, it may need to be rejected or revised.
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.
In hypothesis testing, a Type I error occurs when a true null hypothesis is incorrectly rejected, while a Type II error occurs when a false null hypothesis is not rejected.
yes
It tells us that H1,H0 (alternative )hypothesis is selected
no