The research hypothesis is central to all research endeavors, whether qualitative or quantitative, exploratory or explanatory.At its most basic, the research hypothesis states what the researcher expects to find – it is the tentative answer to the research question that guides the entire study.
In the figure on the left, we see this situation illustrated graphically.
The alternative hypothesis -- your prediction that the program will decrease absenteeism -- is shown there.
We can see that the term "one-tailed" refers to the tail of the distribution on the outcome variable. For instance, let's assume you are studying a new drug treatment for depression.
The drug has gone through some initial animal trials, but has not yet been tested on humans.
When your study analysis is completed, the idea is that you will have to choose between the two hypotheses.
If your prediction was correct, then you would (usually) reject the null hypothesis and accept the alternative.And anyway, if all of this hypothesis testing was easy enough so anybody could understand it, how do you think statisticians would stay employed?ERC is looking for high-risk, high-gain, investigator and hypothesis-driven projects.For example, our discussion about copying from winning proposals, the post reviewing the ERC grant, and the “ERC Lessons Learnt“.Still, we highly advise researchers to seek assistance and consulting in order to solidify their hypothesis, and overall ERC grant application at large.Hence the essential inherent high risk of an ERC proposal.Having this said, these elements must be reflected in the research hypothesis presented by the PI.If your original prediction was not supported in the data, then you will accept the null hypothesis and reject the alternative.The logic of hypothesis testing is based on these two basic principles: , and sometimes we just have to do things because they're traditions.Then the only other possible outcome would be that variable A and variable B are to represent the null case. In some studies, your prediction might very well be that there will be no difference or change.In this case, you are essentially trying to find support for the null hypothesis and you are opposed to the alternative.