Correct option is A
(A) A null hypothesis assumes that no relationship between variables or different groups exists: This is a fundamental principle of hypothesis testing. The null hypothesis (denoted as H₀) typically asserts that there is no significant relationship between variables or groups being studied.
(C) A hypothesis must be acceptable or falsifiable: For a hypothesis to be valid, it must be possible to test and prove it wrong (falsifiable). This is a core requirement of scientific hypotheses.
Information Booster:
The null hypothesis (H₀) is a statement that suggests no effect, no difference, or no relationship exists between the variables being tested.
The alternative hypothesis (H₁) suggests that there is a significant effect or relationship.
The process of hypothesis testing involves formulating both null and alternative hypotheses, testing them with data, and determining whether to reject the null hypothesis.
A hypothesis is falsifiable when it is framed in a way that can be proven false through experimentation or observation.
The falsifiability of a hypothesis allows for the possibility of scientific progress by eliminating incorrect theories.
The null hypothesis is not assumed to be "true"; it is tested to determine whether there is enough evidence to reject it in favor of the alternative hypothesis.
Additional Information:
(B): The alternative hypothesis (H₁) is typically a statement suggesting that there is a relationship between variables or groups, which contrasts with the null hypothesis.
(D): The null hypothesis is not always true. It is simply a statement that is tested against data. The goal is to determine if there is enough evidence to reject it in favor of the alternative hypothesis.
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