A lot of people tend to think that a hypothesis is the same as prediction, but this is not true. They are entirely different terms, though they can be manifested within the same example. They are both entities that stem from statistics, and are used in a variety of applications like finance, mathematics, science (widely), sports, psychology, etc. A hypothesis may be a prediction, but the reverse may not be true.
Also, a prediction may or may not agree with the hypothesis. Confused? Don't worry, read the hypothesis vs. prediction comparison, provided below with examples, to clear your doubts regarding both these entities.
A hypothesis is a kind of guess or proposition regarding a situation.
It can be called a kind of intelligent guess or prediction, and it needs to be proved using different methods.
Formulating a hypothesis is an important step in experimental design, for it helps to predict things that might take place in the course of research.
The strength of the statement is based on how effectively it is proved while conducting experiments.
It is usually written in the 'If-then-because' format.
For example, 'If Susan's mood depends on the weather, then she will be happy today, because it is bright and sunny outside.'. Here, Susan's mood is the dependent variable, and the weather is the independent variable. Thus, a hypothesis helps establish a relationship.
A prediction is also a type of guess, in fact, it is a guesswork in the true sense of the word.
It is not an educated guess, like a hypothesis, i.e., it is based on established facts.
While making a prediction for various applications, you have to take into account all the current observations.
It can be testable, but just once. This goes to prove that the strength of the statement is based on whether the predicted event occurs or not.
It is harder to define, and it contains many variations, which is why, probably, it is confused to be a fictional guess or forecast.
For example, He is studying very hard, he might score an A. Here, we are predicting that since the student is working hard, he might score good marks. It is based on an observation and does not establish any relationship.
Also, a prediction may or may not agree with the hypothesis. Confused? Don't worry, read the hypothesis vs. prediction comparison, provided below with examples, to clear your doubts regarding both these entities.
A hypothesis is a kind of guess or proposition regarding a situation.
It can be called a kind of intelligent guess or prediction, and it needs to be proved using different methods.
Formulating a hypothesis is an important step in experimental design, for it helps to predict things that might take place in the course of research.
The strength of the statement is based on how effectively it is proved while conducting experiments.
It is usually written in the 'If-then-because' format.
For example, 'If Susan's mood depends on the weather, then she will be happy today, because it is bright and sunny outside.'. Here, Susan's mood is the dependent variable, and the weather is the independent variable. Thus, a hypothesis helps establish a relationship.
A prediction is also a type of guess, in fact, it is a guesswork in the true sense of the word.
It is not an educated guess, like a hypothesis, i.e., it is based on established facts.
While making a prediction for various applications, you have to take into account all the current observations.
It can be testable, but just once. This goes to prove that the strength of the statement is based on whether the predicted event occurs or not.
It is harder to define, and it contains many variations, which is why, probably, it is confused to be a fictional guess or forecast.
For example, He is studying very hard, he might score an A. Here, we are predicting that since the student is working hard, he might score good marks. It is based on an observation and does not establish any relationship.
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