Hypothesis vs. Prediction: What’s the Difference?

A hypothesis is an idea about how something works that can be tested using experiments. A prediction says what will happen in an experiment if the hypothesis is correct.

Two important ideas—hypothesis and prediction—offer explanations for various occurrences or phenomena. As a result, one may be able to come to conclusions that help in developing new theories, which may have an impact on the advancement of human civilization in the future. Consequently, both of these terms are frequently used in the fields of science, research, and logic. Additionally, whereas a hypothesis can be formed based on scant evidence, a prediction should require observation or evidence.

As a starting point for further research, a hypothesis is defined as a supposition or a hypothesis that is made based on scant evidence. A hypothesis is a theory that is put forth to explain a phenomenon. However, this is based on the scant evidence, information, or facts one has regarding the root causes of the issue. However, it can be further tested by experimentation. Therefore, this is yet to be proven as correct.

As a result, this term is used more frequently in the context of science and research than it is in everyday language. In science, it is termed as a scientific hypothesis. But a scientific hypothesis must be put to the test using the scientific method. Additionally, scientific hypotheses are typically based on prior observations that cannot be explained by accepted scientific theories.

A hypothesis is based on independent and dependent variables in research studies. This is a “working hypothesis,” which is accepted in part as the foundation for additional study and frequently acts as a conceptual framework in qualitative research. In light of the data gathered during the research, the hypothesis consequently tends to establish links or connections between the various variables. It will therefore serve as a source for a more detailed scientific explanation.

As a result, one may develop a theory based on the hypothesis to guide further research into the issue. A strong hypothesis can create effective predictions based on reasoning. Therefore, a hypothesis can forecast the results of a laboratory experiment or the observation of a natural phenomenon. Hence, a hypothesis is known as an ‘educated guess’.

Therefore, a prediction is a specific design that can be used to test a hypothesis in scientific and research studies. Therefore, if one’s hypothesis were supported by an experiment, the prediction is the result that can be seen. Additionally, predictions are frequently expressed as “if, then” statements, such as “if my hypothesis is correct, then I will observe that.” ”.

2. Hypotheses and Predictions

What is a prediction?

The use of “if, then” statements to make predictions is common. If the delivery person arrives every day at 2:00 p.m., you could say m. , I can expect them to come at 2 p. m. today as well. ” Its possible to make predictions with a hypothesis. For instance, you could forecast the viability of the hypothesis or the result of an experiment.

What is a hypothesis?

The majority of hypotheses attempt to identify the independent and dependent variables used in the pertinent research. Using precise language can assist researchers in creating pertinent experiments, sharing their findings with others, and giving them all the details they require to test their hypothesis.

Hypothesis vs. prediction

Although the terms are occasionally used synonymously, predictions and hypotheses are two distinct concepts. Here are some of the primary differences between them:


A strong hypothesis is one that can be tested and has an independent variable you can control to help you understand how it relates to the dependent variables. Hypotheses often show clear correlations and effects between variables.

In contrast, predictions may be expressed more frequently as “if, then” statements. They can be based on your hypothesis, but since predictions frequently use patterns and observations, they typically appear different in writing. You might use a conditional statement for the “if” portion of your sentence that must be true in order to have an effect. For instance, you could say, “If this thing happens, then I anticipate this to happen next” in your prediction statement. ”.


Another distinction between hypotheses and predictions is in how they are used as a whole. A hypothesis offers a verifiable claim for your study and specifically identifies your variables. The subsequent research can then support or refute your hypothesis.

In comparison, predictions use your observations to form conclusions. They employ your current comprehension of research variables to make educated guesses about the results.


Your method for arriving at your assumption or prediction may also change. Most hypotheses start with a question and a desire to comprehend the connections between two or more things. As an illustration, asking how sunlight influences flower growth provides a researcher with a question to address with a variety of variables. They can measure the impact of light on the flowers by regulating how much light the plants receive. They might claim that more sunlight encourages the growth of flowers.

Predictions typically come from observation rather than a question. For instance, you might observe that the flowers are growing more quickly on the south side of your house, which receives more sunlight, than the flowers are on the north side. You might predict that more sunlight helps the flowers grow.

Examples of hypotheses and predictions

The following examples of scenarios can aid in your understanding of hypotheses and predictions:

Diet example

A teen observes that their skin has become more oily and prone to breakouts since changing their diet. They make the following hypothesis and prediction:

The person’s diet is the independent variable in this instance, and their skin is the dependent variable. Teenagers can alter the independent variable to see if their theory is correct, then note any changes in the dependent variable.

Lemonade stand example

A young girl running a lemonade stand on a busy street figures out that Monday was her best day financially. A sunny day with a high of 88 degrees was Monday. Tuesday saw rain and a drop in temperature to 67 degrees. In order to conduct an experiment, the girl forms the following hypothesis and prediction:

The weather is the independent variable in this scenario, and lemonade sales are the dependent variable. Even though she has no control over the weather, the girl can test her theory by keeping track of her daily sales and daily temperature variations to see if she can find a correlation that will show that her prediction was accurate.

Gardener example

A gardener discovers that less nematodes attack the roots of his crops when he plants his tomato plants next to marigolds. He creates the following hypothesis and prediction:

The marigolds are the independent variables in this scenario, while the tomato plants are the dependent variables. The gardener plants some marigolds without a companion crop next to his tomatoes. He keeps track of the results for his dependent variables to see if his prediction came true, testing his hypothesis.

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