UGC NET Questions (Paper – 1)

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.

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 stem’s 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.

A directional hypothesis specifies not only that a relationship or difference exists but also indicates its direction, such as greater than, less than or positive/negative. It leads to one-tailed statistical tests because the region of rejection is placed in one tail of the distribution. This type of hypothesis is usually grounded in prior theory or strong empirical evidence that suggests a particular trend. Hence, a statement predicting that higher motivation will be associated with higher scores is a directional hypothesis.

Option A:
The null hypothesis generally states that there is no difference or no relationship between variables in the population. It does not predict any particular direction of effect and serves as the baseline for statistical testing. Therefore, null hypothesis does not match the directional expectation described in the stem.

Option B:
A non-directional hypothesis asserts that a relationship or difference exists but does not specify whether it is positive or negative, greater or less. It leads to two-tailed tests and is less specific than a directional hypothesis. Since the stem gives a clear upward direction, non-directional hypothesis is not the best fit.

Option C:
A statistical hypothesis is any statement about a population parameter that can be tested using sample data; it may be directional or non-directional. The term is broad and does not explicitly capture the directional nature emphasised in the question. Thus, statistical hypothesis is not the most precise completion.

Option D:
A directional hypothesis, such as “Group A will score higher than Group B,” narrows the predicted outcome, which can increase power if the direction is correct. This explicit specification of direction corresponds exactly to the example given in the stem.