The hypothesis is an assumption that is made on the basis of some evidence. This is the initial point of any investigation that translates the research questions into the prediction. It includes components like variables, population and the relation between the variables. A research hypothesis is a hypothesis that is used to test the relationship between two or more variables.
Types of Hypothesis:
It shows a relationship between one dependent variable and a single independent variable. For example – If you eat more vegetables, you will lose weight faster. Here, Eating more vegetables is an independent variable, while losing weight is the dependent variable.
It shows the relationship between two or more dependent variables and two or more independent variables. Eating more vegetables and fruits leads to weight loss, glowing skin, reduce the risk of many diseases such as heart disease, high blood pressure, and some cancers.
It shows how a researcher is intellectual and committed to a particular outcome. The relationship between the variables can also predict its nature. For Example- Children aged four years eating proper food over a five years period are having higher IQ level than children not having a proper meal. This shows the effect and the direction of effect.
It is used when there is no theory involved. It is a statement that a relationship exists between two variables, without predicting the exact nature (direction) of the relationship.
It provides the statement which is contrary to hypothesis. It’s a negative statement, and there is no relationship between independent and dependent variable. The symbol is denoted by “HO”.
Associative and Causal Hypothesis:
Associative hypothesis occurs, When there is a change in one variable resulting a change in the other variable. Whereas, Causal hypothesis propose a cause and effect interaction between two or more variables.
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