A directional hypothesis states both the existence and the direction of a predicted difference or relationship, such as claiming that one teaching method will produce higher achievement than another. Because it specifies which group will perform better, it allows the use of one-tailed significance tests. Such hypotheses arise when theory or prior research provides a clear expectation about the direction of effect. Hence, the hypothesis described in the stem is correctly termed directional.
Option A:
A directional hypothesis narrows the focus of testing by indicating exactly how groups are expected to differ, for example that experimental scores will exceed control scores. This explicit direction has implications for how critical regions are set in statistical tests. The stem clearly refers to predicting which group will score higher, so this option fits precisely.
Option B:
The null hypothesis usually states that there is no significant difference or relationship between groups and does not specify any direction of difference. It serves as a baseline assumption to be tested rather than a directional claim.
Option C:
A non-testable statement cannot be examined through empirical data because it is too vague or abstract, so it does not function as a proper hypothesis in scientific research. This is the opposite of carefully specifying a directional prediction.
Option D:
The term statistical hypothesis is a general label for any hypothesis formulated for testing with statistical procedures and may include both null and alternative forms. It does not necessarily imply direction, so it is too broad for completing the stem.
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