1) Descriptive: It is limited to raise that there is a single variable. In turn, descriptive hypotheses can be divided into simple and comparative.

1.1. Simple descriptive hypotheses: In turn, they can be mere description, classification or measurement (accuracy).

1.2. Comparative descriptive hypotheses: Time periods, places, strata, social groups can be compared.

2) Relational: Relational hypotheses suggest that there is some kind of relationship between variables, whether causal or otherwise, so the type of relationship is also important and must be verified when testing the hypotheses. They can be analytical or programmatic, and in any case simple or causal. The latter, in turn, can be:

2.1. Reversible-Irreversible: When one variable influences another, and vice versa, it is reversible. If only one influences the other but there is no reciprocal relationship, it is irreversible.

2.2. Deterministic-Stochastic: Depending on whether the influence of one variable on another is inevitable or there is simply the possibility of that happening (stochastics).

2.3. Sequential-Coexisting: If one variable follows the other or they occur simultaneously.

2.4. Sufficient-Contingent. If the influence of the independent variable is sufficient to produce the dependent (sufficient), or if the influence comes from a subsequent condition (contingent).

2.5. Necessary-Substitutable: If a variable occurs only when that other variable occurs or the relationship (for example, cause-effect) can occur in the presence of another variable.

2.6. Instant-Interdependent: When the effect of one variable on another is immediate or not.