No redo the experiment.
i think you should record the results.
Analyze the experiment to decide whether the results were flawed.
The scientific theory should be changed.
You should include some of your results, how you felt about the results and maybe what you would do differently if you were to do the project again.
No redo the experiment.
i think you should record the results.
Results that are consistent or reproducible across multiple trials are considered reliable in an experiment. These results should not change regardless of any variations in experimental conditions or procedures. Additionally, results that align with the expected outcomes based on the hypothesis and theoretical framework also typically remain constant.
Using a lower enzyme concentration would result in a slower rate of reaction because there are fewer enzymes available to catalyze the reaction. If the experiment did not work as expected, increasing the enzyme concentration could have potentially sped up the reaction and led to the expected results.
Analyze the experiment to decide whether the results were flawed.
conclusion based on data expected to be collected in the experiment
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.
The scientist or student scientist should review the results. Conclusions should be drawn based on the results. Then, the hypothesis is reviewed to make sure the results confirm the hypothesis; if not, revise the hypothesis and rerun the experiment.
The scientific theory should be changed.
To effectively analyze and interpret the results of a can crush experiment, one should carefully examine the data collected, identify any patterns or trends, and compare the results to the expected outcomes based on the variables tested. Statistical analysis can be used to determine the significance of the findings and draw conclusions about the relationship between the variables. Additionally, considering potential sources of error and discussing the implications of the results can help provide a comprehensive interpretation of the experiment.
You should include some of your results, how you felt about the results and maybe what you would do differently if you were to do the project again.
For the results of the experiment to be considered valid, a commonly accepted threshold is that they should be similar at least 70-80% of the time. This means that out of 17 trials, the results should align in at least 12 to 14 instances. Consistency in these results would bolster the reliability and validity of the experiment's findings.