A non-directional hypothesis asserts that there is a difference or relationship between variables but refrains from predicting whether it will be positive or negative, higher or lower. It is tested using two-tailed procedures because extreme outcomes in either direction can lead to rejection of the null hypothesis. Researchers use such hypotheses when prior theory or evidence is insufficient to forecast the direction confidently. Therefore, a hypothesis that only states that a difference exists is called a non-directional hypothesis.
Option A:
Non-directional hypotheses are often worded as “there is a significant difference between” or “there is a significant relationship between” without specifying which group will perform better. This neutrality allows the data to reveal the direction while still setting up a testable claim. These features correspond closely to the description in the stem.
Option B:
The null hypothesis typically proposes that no significant difference or relationship exists in the population. It functions as the default statement to be tested against, not as an assertion that some unspecified difference exists. Hence, null hypothesis is not the correct term here.
Option C:
A directional hypothesis, in contrast, predicts the specific direction of the effect, such as “Group A will score higher than Group B.” Because the stem explicitly says that direction is not specified, directional hypothesis cannot complete the blank.
Option D:
An operational hypothesis indicates testable predictions using operationally defined variables but may be either directional or non-directional. The stem is specifically focused on absence of direction, so operational hypothesis is too general to be the best answer.
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