It is when you know that your hypothesis is wrong.
yes
The significance test is the process used, by researchers, to determine whether the null hypothesis is rejected, in favor of the alternative research hypothesis, or not.
Yes.
It means that, if the null hypothesis is true, there is still a 1% chance that the outcome is so extreme that the null hypothesis is rejected.
the reason why a rejected hypothesis can still be of value to a scientist is because that secific hyothesis may not work for your experiment but it could work for a different experiment/theory
It is when you know that your hypothesis is wrong.
A rejected hypothesis could be helpful to a scientist because it helps them create a theory by process of elimination.
A hypothesis will be rejected if it fails the necessary testing required for it to become a scientific theory.
He could not explain how or why the continents moved.
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.
Scientist rejected Wegners hypothesis of continental drift at first because he did not have enogh evidence to support his theory. He failed to provide a suitable mechanism that could cause the continents to move.
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.
The blending hypothesis was rejected as the method of inheritance because it could not explain the observed patterns of inheritance, especially the reappearance of traits in later generations that were not visible in the immediate offspring. Additionally, the blending hypothesis does not account for the variation observed in offspring that is more consistent with the principles of Mendelian genetics.
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.