Writing a good hypothesis

An experiment could be designed to test whether rate of growth depends on duration of light. Before conducting psychology research, it is important to start with a testable hypothesis. If your skin stays clear for the entire test, you may decide to accept your hypothesis. Generally used in quantitative research studies, it's an educated guess or prediction about the relationship between two variables. While the hypothesis predicts what the researchers expect to see, the goal of the research is to determine whether this guess is right or wrong. Then she uses that information to form a tentative answer to her scientific question. A single hypothesis can lead to multiple predictions, but generally, one or two predictions is enough to tackle for a science fair project. Learn the elements of a good hypothesis and get examples of experimental hypotheses you can test. If you make a change to the independent variable, then the dependent variable will respond. The hypothesis establishes two variables, length of light exposure and rate of plant growth.

See also:   What is the difference between a thesis statement and a hypothesis statement? The duration of light is the independent variable, which you can control in an experiment. For example, a study designed to look at the relationship between sleep deprivation and test performance might have a hypothesis that states, "This study is designed to assess the hypothesis that sleep deprived people will perform worse on a test than individuals who are not sleep deprived. Unless you are creating a study that is exploratory in nature, your hypothesis should always explain what you expect to happen during the course of your experiment or research. A hypothesis is a specific, testable prediction about what you expect to happen in your study.

Keep in mind, though, that the hypothesis also has to be testable since the next step is to do an experiment to determine whether or not the hypothesis is right! A hypothesis leads to one or more predictions that can be tested by experimenting. When conducting an experiment, researchers might explore a number of factors to determine which ones might contribute to the ultimate outcome. You may wonder if there is a correlation between eating greasy food and getting pimples. If you disprove a null hypothesis, that is evidence for a relationship between the variables you are examining.

Predictions should include both an independent variable (the factor you change in an experiment) and a dependent variable (the factor you observe or measure in an experiment). A hypothesis is a tentative statement about the relationship between two or more variables. While you could consider any prediction of an outcome to be a type of hypothesis, a good hypothesis is one you can test using the scientific method. In science, a hypothesis proposes a relationship between factors called variables. However, you can make a strong case that there is some relationship between diet and acne.

The independent variable(s): who or what you predict will affect the dependent variable. Once a scientist has a scientific question she is interested in, the scientist reads up to find out what is already known on the topic. Without javascript some functions will not work, including question submission via the form. Note: if you are designing a research study, explore the Research Methods Information guide for helpful resources. Now, this is not a very good experiment because it does not take into account other factors, such as hormone levels, stress, sun exposure, exercise or any number of other variables which might conceivably affect your skin. If you leave JavaScript disabled, you will only access a portion of the content we are providing. Improving a Hypothesis To Make It TestableWhile there are many ways to state a hypothesis, you may wish to revise your first hypothesis in order to make it easier to design an experiment to test it. The effect on the dependent variable depends on or is determined by what happens when you change the independent variable.