Stating in advance the result that may be obtained from testing a hypothesis is called predicting the outcome or formulating a prediction.

It's important to note that this prediction is based on the hypothesis itself, not on any prior knowledge or experimental results. The hypothesis is a statement that proposes a potential explanation or relationship, and the prediction is a specific statement about what you expect to observe if the hypothesis is true.

Here are some other related terms:

* Null hypothesis: This is the opposite of the hypothesis you are trying to prove. It essentially states that there is no effect or relationship.

* Alternative hypothesis: This is the hypothesis you are trying to prove. It states that there is an effect or relationship.

* Statistical significance: This refers to the likelihood that the observed results are due to chance or a real effect.

* P-value: This is a measure of statistical significance. It indicates the probability of obtaining the observed results if the null hypothesis is true.

Let me know if you have any other questions!