A research scholar finds through statistical analysis that the value of 't' is significant. What decision is warranted on the basis of this hypothesis? A. The Null hypothesis should be rejected B. The research hypothesis should be accepted C. The null hypothesis should be accepted D. The research hypothesis should be rejected E. No decision is warranted in respect of the research hypothesis Choose the correct answer from the options given below: Correct Answer A and B only Hypothesis: “A hypothesis can be defined as a tentative explanation of the research problem, a possible outcome of the research, or an educated guess about the research outcome.” According to Goode and Hatt, a hypothesis is “a proposition which can be put to test to determine its validity”. A research hypothesis is a tentative statement postulating a relationship between factual and conceptual elements of the variables. In research, there are two types of hypothesis, the research hypothesis, and the null hypothesis 1. Research Hypothesis: A research hypothesis predicts the relationship between a single independent variable and a single dependent variable or between more than one variable. A research hypothesis is a tentative statement postulating a relationship between factual and conceptual elements of the variables A research hypothesis must be stated in a testable form for its proper evaluation and it should indicate a relationship between variables in clear, concise, and understandable language. It could be directional or nondirectional. 2. Null hypothesis: It states that there is no relationship between the variables or the variables do not affect each other. It is accepted only when a researcher fails to prove the research hypothesis. A researcher sets up a 'Null hypothesis' so that the deduced consequences of a research hypothesis may be directly tested For example, there is no relationship between deforestation and global warming. T-test: It is used used to determine if there is a significant difference between the means of two groups, which may be related to certain features. It is a parametric test. Standard deviation is an important element here. A t-test is used as a hypothesis testing tool. The t-test takes a sample from each of the two sets and establishes the problem statement by assuming a null hypothesis that the two means are equal. If a research scholar finds through statistical analysis that the value of 't' is significant, that means the null hypothesis qualifies to be rejected. Therefore the research hypothesis should be accepted. So, A and B are correct options here.