I've included 3 links on Alfred Wegener's life. He died at the age of 50 in 1930. His speciality was meteorology and well published in this area. The concept of continental drift began by the observation of the close fit between South America and Africa. Fossil evidence gave some support to the hypothesis. The concept of the continents drifting for hundreds of millions of years was criticized as too radical a departure and based on scant evidence. Also, in Wegener's hypothesis was the existence of Pangaea, where initially all continents were connected. George Gaylord Simpson was a well known scientist who was highly critical of continental drift. The view to the contrary was the continents had remained fixed and it was the plants and animals that had dispersed themselves on both continents. Per George Gaylord Simpson, his paper in 1939 seem to lay a solid foundation against continental drift. Antarctica as a faunal migration route. Proceedings, Sixth Pacific Congress, 1939, p. 755-768. First of Simpson's papers that directly addresses historical biogeography. He argues that land-bridges and continental drift are not necessary to explain disjunctive distributions. "In scientific theory the best-supported and most nearly self-sufficient hypothesis should be preferred and unnecessary additional hypotheses should be rejected or held in abeyance." (See "Evolution and Geography," 1953.) It is recognized today that Alfred Wegener was way ahead of his time.
well the reason was because they all thought it stunk
They rejected Alfred Wegner's theory because he did not have enough evidence to back it up.
scientists thought that there was no way the continents were once together at one point. today we know that tectonic plates moved the continents.
The other scientists were skeptical and unwilling to change. They also believed that the rocks were too hard for that to be possible
They didn't meow about it
Original Answer:I would tie it back in and show whether it helped to reject/fail to reject your hypothesis.Different Answer:A hypothesis (Informal definition), is basically a question based on anticipated results. The experiment is created to try to prove or disprove that hypothesis. When conducting an experiment, only three results can occur. That is the hypothesis is confirmed, the hypothesis is incorrect, or the results were inconclusive. Of the three possible answer, the third is the most maddening as it could indicate that something is wrong with your experiment.Sometimes the most fascinating discoveries come from observations that are either inconclusive, or disprove a hypothesis.
Yes. But usually a hypothesis (if, then, because statement) is changed overtime to establish a conclusion on the investigation. The point of the collection of the data is to show whether or not the hypothesis was supported, and if not needs to be corrected/modified. Certain parts may still be helpful/kept but in most cases it is changed
In most cases, scientists are testing a hypothesis to find out if it is true. After they have concluded their research and made certain they have enough information to determine a reliable result, they will usually write up their findings and publish the results in a journal, so that other scientists can learn from the research, and perhaps expand upon it in future scientific investigations.
The hypothesis can never really be proven correct; that's why scientists always say that they are 99.9% sure about things. If you drop a pencil, it will most likely always fall, but there is the slight chance that someday, it won't fall. Things in science always change.
Most scientific hypothesis are tested using the scientific method by asking questions and doing experiments.
There was no evidence to prove it
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
you do not need to reject a null hypothesis. If you don not that means "we retain the null hypothesis." we retain the null hypothesis when the p-value is large but you have to compare the p-values with alpha levels of .01,.1, and .05 (most common alpha levels). If p-value is above alpha levels then we fail to reject the null hypothesis. retaining the null hypothesis means that we have evidence that something is going to occur (depending on the question)
Most scientists originally reject the theory of continental drift since it did clearly explain continents would move. This is a theory that has been established by Wegener and did not get good support initially.
Previous observation, instinct of the scientists, or just pure guess.
A hypothesis is formed from a question. this question is most likely to get scientists debating on weather it is true or not, and this is where the hypothesis comes from. a hypothosis can either be true or false. you will use a hypothesis in science for your G.C.S.E and sometimes in mathematics.
They rejected Wenger's theory for half a century because he didn't have the evidence to prove his theory No, He did have evidence to prove his theory, they just did not believe him- TheSystem because of their lack of knowledge of the Earth He actually had evidence, but it was actually because the hypothesis interferred with their own hypothesis about how mountains form.
Original Answer:I would tie it back in and show whether it helped to reject/fail to reject your hypothesis.Different Answer:A hypothesis (Informal definition), is basically a question based on anticipated results. The experiment is created to try to prove or disprove that hypothesis. When conducting an experiment, only three results can occur. That is the hypothesis is confirmed, the hypothesis is incorrect, or the results were inconclusive. Of the three possible answer, the third is the most maddening as it could indicate that something is wrong with your experiment.Sometimes the most fascinating discoveries come from observations that are either inconclusive, or disprove a hypothesis.
It is unlikely. Most statisticians would not consider the occurrence of an event with that probability as sufficient evidence to reject a hypothesis.
Yes. But usually a hypothesis (if, then, because statement) is changed overtime to establish a conclusion on the investigation. The point of the collection of the data is to show whether or not the hypothesis was supported, and if not needs to be corrected/modified. Certain parts may still be helpful/kept but in most cases it is changed
When probability value (p-value) is greater than alpha value, we fail to reject the null hypothesis.Probablity value is the probability of obtaining an answer equal to or more extreme than the observed value.Alpha value is the level of significance. It's the value set that determines if a result is statistically significant, or in other words, if it's not likely to have occurred simply due to chance. Alpha value is usually 5%.There are two hypotheses when we conduct a hypothesis test: the null hypothesis and the alternative hypothesis.The null hypothesis acts as a default position. It's usually an assumption that there is no relationship between two events or that a treatment has no effect. In most legal systems, the null hypothesis would be that the defendant is innocent.The alternative hypothesis is what we would assume if we reject the null hypothesis. We reject the null hypothesis when the probability value is less than the alpha value.
The hypothesis can never really be proven correct; that's why scientists always say that they are 99.9% sure about things. If you drop a pencil, it will most likely always fall, but there is the slight chance that someday, it won't fall. Things in science always change.