Explain the scientific method

Practice your problem-solving skills by using the scientific method to determine if you can rely on data to reject or accept your hypothesis on whether lifestyle choices can reduce the risk of cancer.

Keep in mind that these are the steps for using the scientific method to analyze the data. Follow these steps to complete this assessment:

· Step 1: Explain the scientific method.

· Identify the origins of this method and provide examples of its application to solve real-world problems.

· Describe why this method ensures a sound analysis of data.

· Step 2: Define the process or steps in the scientific method.

· Describe& the typical activities that would happen in that step or process.

· Describe the objective of each step and the typical activities or tasks for that step.

· Step 3: Apply the scientific method to determine if lifestyle choices can address the issues of the study.

· Analyze the data given in the assessment template to see the relationship between lifestyle choices and the risk of cancer. What observations have you made about some of the lifestyle choices and cancer?

· Evaluate the data to determine if lifestyle choices have any bearing on the risk of cancer, and how. Provide opinions and supporting examples.

· Step 4: Articulate the conclusions reached in the study.

· Make the connection between the data and how this leads to the conclusion. Include specific data to support your thoughts about the conclusion.

· Define a hypothesis that is suggested by the data collected in the primary care center. What is your prediction based on the data collected?

· Explain how you would use the scientific method to test your hypothesis or prediction.

· Describe the results. Do you accept or reject your hypothesis? Explain your answer in detail.

· Step 5: Describe the possible limitations of interpreting your conclusions.

· Identify the possible limitations of the collected data. What kinds of things might be happening that the data aren’t showing?

· Explain how the limitations of the data might cause a misinterpretation of the data.

· Citations: Include complete citations of your sources. Review Evidence and APA for more information on how to cite your sources.

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