A hypothesis must be subjected to rigorous testing before it becomes a theory. A hypothesis is used to explain some phenomenon about the natural world. Once a hypothesis has been created, it can be used to formulate predictions. These predictions in turn are then tested to be accurate through experimentation or observation.
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Hypothesis testing is a statistical method used to compare two or more sets of data to determine if there is a significant difference between them. It involves setting up a null hypothesis and an alternative hypothesis, collecting data, and using statistical tests to either accept or reject the null hypothesis based on the evidence. It helps researchers make informed decisions about the population based on sample data.
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Hypothesis
The word is "experimentation." Experimentation involves testing a hypothesis by conducting carefully controlled steps or procedures to observe the outcomes and draw conclusions.
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Observation: Scientists observe a phenomenon in the natural world and ask questions about it. Hypothesis: Scientists formulate a testable explanation (hypothesis) based on their observations. Experimentation: Scientists design and conduct experiments to test their hypothesis and collect data to support or refute it.