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Scientists should not repeat their experiment to see if their data is reproducible?

No they shoudnt have.


After the scientist makes a hypothesis they perform a to collect data?

the answer is the scientist designs a scientific inquiry


What is the difference between accurate data and reproducible data?

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.


What does it mean for data to be reproducible?

it means the data can have babies


What change would make the data from this experiment more reliable?

Increasing the sample size would make the data more reliable by reducing the impact of random variations and increasing the statistical power of the study. Additionally, ensuring that the data collection methods are standardized and reproducible would improve the reliability of the results.


What are the facts and figures gathered in a experiment?

That would correctly be called the 'data' of the experiment.


What type of data would need to be collected to conduct a t test?

What type of data would need to be collected to conduct a test and why?


Which step of scientific method do you perform after you form a hypothesis?

After forming a hypothesis, the next step in the scientific method is to design and conduct an experiment to test the hypothesis. This involves collecting data and analyzing the results to determine if the hypothesis is supported or refuted.


Why gather data during an experiment?

Gathering data is essential to any experiment. The data helps you comes up with results from your experiment so you can analyze them later for future studies. Without them, there would have been no point doing the experiment to begin with.


What does it mean if data are reproducible but not accurate, and how does this impact the reliability of the findings?

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.


What implications arise when data are reproducible but lack accuracy?

When data are reproducible but lack accuracy, it can lead to misleading conclusions and decisions based on flawed information. This can result in wasted resources, incorrect policies, and a loss of trust in the reliability of the data and the individuals or organizations presenting it.


What is evidence in an experiment?

Evidence in an experiment refers to the data collected and observations made during the course of the investigation. This evidence is used to support or refute the hypothesis being tested and serves as the basis for drawing conclusions. It should be objective, reproducible, and relevant to the research question.