key term - Hypothesis

Definition

A hypothesis is a proposed explanation for a phenomenon or observation that can be tested through further investigation and experimentation. It serves as a starting point for scientific inquiry, guiding the design of studies and the collection of data to either support or refute the proposed idea.

5 Must Know Facts For Your Next Test

1. A hypothesis is an educated guess or prediction about the relationship between two or more variables based on existing knowledge and observations.
2. A good hypothesis is testable, meaning it can be supported or refuted through empirical investigation and data collection.
3. Hypotheses are often stated in the form of an 'if-then' statement, where the 'if' part describes the independent variable and the 'then' part describes the expected outcome or dependent variable.
4. Hypotheses are the foundation of the scientific method, guiding the design of experiments and the analysis of data to determine the validity of the proposed idea.
5. Hypotheses can be either directional (predicting the direction of the relationship) or non-directional (predicting that a relationship exists without specifying the direction).

Review Questions

• Explain the role of a hypothesis in the scientific method.
  • A hypothesis is a crucial component of the scientific method, as it serves as the starting point for scientific inquiry. It proposes a testable explanation for a phenomenon or observation, guiding the design of experiments and the collection of data to either support or refute the proposed idea. The hypothesis drives the research process by providing a clear, specific, and measurable prediction that can be investigated through further investigation and experimentation.
• Describe the characteristics of a well-formulated hypothesis.
  • A well-formulated hypothesis should be specific, testable, and based on existing knowledge and observations. It should be stated in the form of an 'if-then' statement, where the 'if' part describes the independent variable and the 'then' part describes the expected outcome or dependent variable. Additionally, a good hypothesis should be falsifiable, meaning that it can be proven wrong through empirical investigation. This allows for the hypothesis to be tested and either supported or refuted by the collected data.
• Analyze the relationship between a hypothesis and the null and alternative hypotheses in the context of statistical testing.
  • In the context of statistical testing, the hypothesis is often accompanied by a null hypothesis and an alternative hypothesis. The null hypothesis (H0) states that there is no significant difference or relationship between the variables being studied, while the alternative hypothesis (H1) proposes a specific relationship or difference. The goal of the research is to collect data and analyze it to determine whether the evidence supports the alternative hypothesis, thereby rejecting the null hypothesis. This process of hypothesis testing allows researchers to draw conclusions about the validity of the original hypothesis and its implications for the phenomenon under investigation.

Related terms

Theory: A well-substantiated explanation of some aspect of the natural world that is based on a body of knowledge that has been repeatedly confirmed through observation and experimentation.

Null Hypothesis: A statistical hypothesis that states that there is no significant difference between a specific characteristic of a population and a hypothesized value.

Alternative Hypothesis: A statistical hypothesis that proposes a relationship or difference between variables, contradicting the null hypothesis.