You explain how you got them.
If the experiment is not reproducible, no one can perform the experiment independently to confirm the results.
To be considered valid, the results of a scientific experiment must be reliable, reproducible, and based on sound methodology. This involves using appropriate controls, ensuring sample size is adequate, and minimizing biases. Additionally, the experiment should be peer-reviewed and subjected to scrutiny by the scientific community to confirm its findings. Ultimately, validity is established when results consistently align with established scientific principles and can be replicated by others.
problem, hypothesis, materials, procedures, observations/results, conclusion. explain
Essentially, it means that an experiment can be repeated multiple times and you would still draw the same conclusions from the results you obtain. There are various statistical tests you can perform to see if your results are statistically reproducible or not - there is always some small variation, but what's important is that the same conclusions can be drawn.
The scientific method is a step-by-step process used to explore a scientific query or hypothesis. # Ask a question # Do research # Form a hypothesis # Test the hypothesis through experimentation # Analyze results and develop a conclusion # Communicate results to peers # Peer analysis
The results of an experiment must be reproducible, meaning that they can be consistently obtained when the experiment is repeated by other researchers. Results should also be accurate, reflecting the true outcome of the experiment, and relevant to the research question being investigated. Additionally, results should be clearly presented and interpreted in the context of existing scientific knowledge.
If the experiment is not reproducible, no one can perform the experiment independently to confirm the results.
Yes sometimes they do.
A reproducible experiment.
To be considered valid, the results of a scientific experiment must be reliable, reproducible, and based on sound methodology. This involves using appropriate controls, ensuring sample size is adequate, and minimizing biases. Additionally, the experiment should be peer-reviewed and subjected to scrutiny by the scientific community to confirm its findings. Ultimately, validity is established when results consistently align with established scientific principles and can be replicated by others.
problem, hypothesis, materials, procedures, observations/results, conclusion. explain
Essentially, it means that an experiment can be repeated multiple times and you would still draw the same conclusions from the results you obtain. There are various statistical tests you can perform to see if your results are statistically reproducible or not - there is always some small variation, but what's important is that the same conclusions can be drawn.
Accurate data refers to information that is correct and reflects the true value or reality of the phenomenon being measured. In contrast, reproducible data pertains to the ability to obtain consistent results when the same experiment or study is repeated under similar conditions. While accurate data is about correctness, reproducible data emphasizes reliability and consistency in results across different trials or studies. Both qualities are essential for robust scientific research, but they address different aspects of data integrity.
If data are reproducible but not accurate, it means that the results can be consistently replicated but may not reflect the true values. This impacts the reliability of the findings because even though the results can be duplicated, they may not be trustworthy or valid for drawing conclusions. It is important for data to be both reproducible and accurate to ensure the reliability of research findings.
Yes, the experiment is designed in a way that allows for the results to be repeated or reproduced by other researchers.
To prove the validity of a hypothesis, you can conduct experiments, collect data, analyze results, and draw conclusions based on evidence. It is important to use reliable methods and ensure that your findings are reproducible by others in the scientific community.
yes they can be changed!Scientific models change to reflect ongoing research to explain discrepancies in current theory versus actual experimental results.