A directional hypothesis predicts the specific direction of an expected relationship or difference, such as stating that Method A will produce higher achievement than Method B. It leads to one-tailed statistical tests because the researcher is interested in deviations in a particular direction. This type of hypothesis is based on prior theory or evidence suggesting how results should differ. Since the stem mentions a hypothesis that specifies both existence and direction of difference, directional hypothesis is the correct term.
Option A:
A null hypothesis asserts that there is no significant difference or relationship between variables in the population. It does not predict a direction and often serves as the default assumption in significance testing. Therefore, null hypothesis does not fit the description in the question.
Option B:
Non-directional hypotheses merely state that a difference or relationship exists without indicating which group will score higher or what the direction of association will be. They correspond to two-tailed tests that consider both positive and negative differences. Because the stem emphasises specifying direction, non-directional hypothesis is not appropriate.
Option C:
A directional hypothesis can be more powerful statistically when correctly specified, but it also carries risk if the true effect is opposite in direction. It is justified when prior research strongly suggests a particular outcome. These features align closely with the stemโs description, so directional hypothesis is the right completion.
Option D:
A working hypothesis is a tentative assumption that guides the early stages of research and may or may not be directional. It is a broader term and does not necessarily indicate the explicit direction requirement highlighted in the stem. Hence, working hypothesis is not the best answer.
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