data is something where you chart something and a hypothesis is a educational guess
An experiment tests a hypothesis; an investigation mainly collects data.
The null hypothesis is the default hypothesis. It is the hypothesis that there is no difference between the control group and the treatment group. The research hypothesis proposes that there is a significant difference between the control group and the treatment group.
The difference is that working hypothesis is that your still working on it but the hypothesis that your not working on it.
A scientific hypothesis has to be testable.
an experiment tests an hypothesis while an investigation is collecting data
Hypothesis is singular, while Hypotheses is the plural of Hypothesis.
null
In statistics the null hypothesis is usually the one that asserts that the data come from some defined distribution. The alternative hypotheses may simply be that they do not, or it may be that they come from some other, defined distribution.
A data-driven hypothesis is generated based on patterns observed in the data without pre-existing theoretical expectations, while a theory-driven hypothesis is generated based on existing theories or prior knowledge. Data-driven hypotheses are more exploratory and can lead to the development of new theories, while theory-driven hypotheses are more focused and aim to test specific theoretical predictions.
i ask you that
0 what are characteristics of efficient market hypothesis?
difference between Data Mining and OLAP