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What was the main reason wegeners continental drift was rejected?
He could not provide a wholly acceptable explanation for the movement of the continents.
What was an important reason why wegeners continental drift hypothesis was widely accepted?
The continental Coastlines fit together like puzzle pieces, fossils, and glacier Grover in warm places
How can a rejected hypothesis be of value to a scientist?
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
When do we reject a hypothesis?
When we've proven that the hypothesis is false !
How do you get wegeners disease?
There is no known reason for getting Wegeners disease. Your own immune system attacks vital organs. Doctor's don't know what causes it but found early Wegeners disease can become under control.
What was the main reason scientists rejected Wegener's theory of continental drift?
One main reason scientists rejected Wegener's theory of continental drift was the lack of a plausible mechanism to explain how continents could move through the oceanic crust. Additionally, there was insufficient evidence at the time to support the idea of continents moving over time. The theory also faced criticism due to Wegener's background as a meteorologist, not a geologist.
Is a hypothesis a testable?
Yes, a hypothesis is testable. In fact, a hypothesis is formulated for that very reason; to be tested.
When should you accept a null hypothesis?
The null hypothesis cannot be accepted. Statistical tests only check whether differences in means are probably due to chance differences in sampling (the reason variance is so important). So if the p-value obtained by the data is larger than the significance level against which you are testing, we only fail to reject the null. If the p-value is lower than the significance level, the null hypothesis is rejected in favor of the alternative hypothesis.
Why is the level of significance always small?
The significance level is always small because significance levels tell you if you can reject the null-hypothesis or if you cannot reject the null-hypothesis in a hypothesis test. The thought behind this is that if your p-value, or the probability of getting a value at least as extreme as the one observed, is smaller than the significance level, then the null hypothesis can be rejected. If the significance level was larger, then statisticians would reject the accuracy of hypotheses without proper reason.
Two reason why an experiment might not support a hypothesis even when the hypothesis is correct?
An experiment might not support a hypothesis even if the hypothesis is correct because if the conclusion
Can a car loan be rejected?
Any loan can be rejected, no one has to lend you money but they must have a good reason for the rejection.
What force causes movements of the the continents from one super continent to their present positions?
The reason is because of glacial desposits. The other reason is because of ice bergs and continental drift.
