DIFFERENT WAYS OF STATING HYPOTHESIS

 

DIFFERENT WAYS OF STATING HYPOTHESIS

                   

What is hypothesis?

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 in to a 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

                   

                    Simple 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. 

 Complex Hypothesis

It shows the relationship between two or more dependent variables and two or more independent variables. For example - Eating more vegetables and fruits leads to weight loss, glowing skin, reduces the risk of many diseases such as heart disease, high blood pressure and some cancers. 

                    Directional Hypothesis

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-year period are having higher IQ levels than children not having a proper meal. This shows the effect and direction of effect. 

                    

                   Non directional Hypothesis

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 relations.  

                    Null Hypothesis

It provides the statement which is contrary to the hypothesis. It’s a negative statement, and there is no relationship between independent and dependent variables. The symbol is denoted by “HO”. 

Associative and Causal Hypothesis

Associative hypothesis occurs when there is a change in one variable resulting in a change in the other variable. Whereas, hypothesis proposes a cause and effect interaction between two or more variables. 

                        References

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