because it obviously had no proof and the same results were not achieved when the experiment was repeated several times by different scientists.
The hypothesis of the supercontinent Pangaea was not rejected, but rather supported by geological evidence such as matching rock formations, fossils, and mountain ranges across different continents. The concept of plate tectonics provided a framework to explain the breakup of Pangaea into separate continents over time.
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 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.
Alfred wegener
Alfred Wegner's hypothesis about Pangea was that it is one whole big continent.
no. you need to have solid proof that it exist.. else it will be rejected.
A part of the Pangaea hypothesis is called continental drift, which suggests that the Earth's continents were once connected in a single landmass before breaking apart and drifting to their current positions.
They rejected it because from the calculated strength of the rocks, it did not seem possible for the crust to move in this way. They began to realize that when they tried to put the continents together, they had fit! They then realize Weagener's theory was accurate
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.