0
Scientists should repeat quantitative experiments to ensure the reliability and validity of their results. Repetition helps identify any anomalies or errors, allowing researchers to confirm that their findings are consistent and reproducible. Additionally, repeating experiments can help establish statistical significance, providing greater confidence in the conclusions drawn from the data. Ultimately, this practice enhances the overall integrity of scientific research.
What else can I help you with?
What are quantitative statements?
well it means u should lick my sack
Should you repeat fifth year?
yes, i am going to repeat my fifth year in a different school! then i will go on to do A levels
Should failing students be forced to repeat a grade?
Yes.
A scientist wants to display the proportion that were female. What type of visual display should the scientist use?
A circle graph
What should be done after data is collected for an experiment?
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.
Is it true scientists should not repeat experiments to see if thir data is reproducible?
no. experiments should be repeatd
Should scientist repeat experiments to compare results?
Yes, scientists should repeat experiments to compare results, as this helps ensure the reliability and validity of findings. Replication allows researchers to identify any inconsistencies, control for variables, and confirm that results are not due to chance or experimental error. Additionally, repeated experiments can enhance the robustness of scientific claims and contribute to the overall credibility of the research.
What should a scientist do after done withe experiments?
they should observe it and pass it on to other scientists
What should a scientist do after he or she experiments?
Record the data and form a conclusion based on the results.
Why should quantitative experiments be repeated?
Quantitative experiments should be repeated to make sure they are accurate. This also helps to get rid of outliers in the experiment.
Why is A hypothesis important?
putting a certain hypothesis is important for the person making a certain experiment.For exampe,if s/he were a scientist,the hypothesis would help in knowing what experiments should be done(in another words,NO hypothesis-->NO experiments will be done).
What do scientist do when experiments show their hypothesis is incorrect?
If an experiment does not confirm his hypothesis, the scientist should report this honestly. Even if the results confirmed the hypothesis, further testing should be done by him or others to gather more data.
Why is formulating a hypothesis important?
putting a certain hypothesis is important for the person making a certain experiment.For exampe,if s/he were a scientist,the hypothesis would help in knowing what experiments should be done(in another words,NO hypothesis-->NO experiments will be done).
If Data from repeated experiments do not support the hypothesis what is the scientist next step?
If data from repeated experiments do not support the hypothesis, the scientist should re-evaluate the hypothesis to determine if it needs to be revised or discarded. They may also analyze the experimental design and methods to check for potential errors or biases. Additionally, the scientist might consider conducting further experiments or exploring alternative hypotheses that could better explain the observed results. Ultimately, this iterative process is crucial for advancing scientific understanding.
Why might it be important to repeat an experiment?
To make sure your results are Valid/reliable. You should always repeat your experiments and if using times or amounts and in the future going to make a graph its best to do the experiment 3 times and calculate the average on place the average result on to your graph.
Why scientist should have intergrity?
why scientist should have intergrity
Which approach do you think should be relied on more heavily for strategy formulation-the quantitative or qualitative approach?
The quantitative approach
