Accepting the null hypothesis will lead to some changes in opinions or action.
It can never be accepted based on a single statistical test.
In research, the null hypothesis is formulated in such a way that rejection leads to the acceptance of the desired conclusion.
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The Correct Option isB
Solution and Explanation
Step 1: Understanding the null hypothesis.
The null hypothesis ($H_0$) is a statement of no effect, no difference, or status quo. It is tested directly in hypothesis testing. Step 2: Analyzing each option.
(a) Correct — $H_0$ is always tested directly; $H_1$ is supported if $H_0$ is rejected.
(b) Incorrect — Accepting $H_0$ means we do not have enough evidence for change; opinions/actions remain the same.
(c) Correct — One statistical test cannot “prove” $H_0$; it can only fail to reject it.
(d) Correct — Often in research, $H_0$ is set so that rejecting it supports the desired research conclusion.
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\boxed{(b)}
\]