You are absolutely right! The hypothesis which states no relationship between two variables is:
(b) Null/Statistical Hypothesis
Here's a breakdown of the other options and why they are not correct in this context:
(a) Research Hypothesis: This type of hypothesis proposes a relationship between variables and is what the research aims to investigate or support. It would specify the direction or nature of the expected relationship (e.g., positive, negative).
(c) Non-Directional Hypothesis: This is a type of research hypothesis that predicts a relationship between variables but does not specify the direction (positive or negative) of that relationship.
Null hypothesis, on the other hand, is a fundamental concept in hypothesis testing. It essentially states that there is no difference or relationship between the variables being studied. It serves as a baseline for comparison and is often rejected if the research data provides strong evidence to the contrary.
In conclusion, the null hypothesis is the most appropriate choice for the statement that there is no relationship between two variables