The steps of the experimental method 1. Make observations or measurements to gather information. 2. Form a hypothesis using these observations. 3. Conduct an experiment to test the hypothesis under controlled conditions. Determine control group, experimental group and variable in an experiment.

4. Data collection –Organize and analyze information or data that is gathered from the experiment. 5. Drawing Conclusion- Use the data to form conclusions about the original hypothesis. 6. Repeat the experiment and share the result. If the result does not match with hypothesis then repeat the steps 2 to 5.

Correlation: When using experiments to answer questions is impossible or unethical, scientists test the predictions by examining correlation or reliable association between two or more events. For example- “Scientists know that the relative width of a ring on a tree trunk is a good indicator of the amount of rainfall the tree received in a given years. Scientists have used this knowledge to compare rainfall between different years.

Scientific Habits of Mind Curiosity: Curiosity leads scientists to ask new questions. Good scientists are endlessly curious. The habit of skepticism: Good scientists also tend to be skeptical, which means that they don’t believe everything they are told. Skepticism leads scientists to question explanations they doubt. Openness to new ideas: Good scientists keep an open mind about how the world works. Openness to new ideas prevents scientists from limiting their thinking.

Habits of mind….. Intellectual Honesty: A good scientist is willing to recognize that the new results may be accurate, even though that means admitting that his or her hypothesis might be wrong. This helps ensure accurate conclusions. Imagination and Creativity: The ability to see patterns where others do not or imagine things. Imagination and creativity help scientists conceive new ideas and explanations.

Statistics: Statistics is the collection and classification of data that are in form of numbers Scientists rely on and use statistics to summarize, characterize, analyze, and compare data. Scientists use statistics to describe statistical populations. A statistical populations a group of similar things that a scientist is interested in learning about.