A reliable test is one that has the same results over time. This means you can trust the test and its outcome.
You have to state whether or not your hypothesis was supported by the experiment and then explain why or why not. e.g. The hypothesis, if the concentration of the hydrochloric acid is increased, the change in weight of the calcium carbonate will increase, was supported by the experiment that was conducted. There was a notable difference in the change in weight of the calcium carbonate between the different concentrations. The data was reliable as the data was consistent over the three trials and it supported the hypothesis, which was backed by scientific explanation. Acids with a higher concentration contain more acidic particles. Because of this, the reaction was more likely to happen and happened over a larger amount of the surface area of the calcium carbonate. There were no anomalies in the data. As stated previously, the data was consistent over the three trials. Make sure you explain how reliable the data was and why or why not
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 method followed to make experiment results repeatable, as multiple people can do the same experiment and get the same answer, making the experiment reliable. It is a base for proving the results are correct. If it was not used, people would go back to less organized science, like Aristotalian science (he claimed the sun revolved around the earth, and was believed over other scientists with the correct view because he was popular, before the scientific method's creation).
An experiment which can be repeated and will yield the same results. Ex. If x+y=z in the experiement if you try the experiment again you should get the same result "z".
you can't......you have to start all over.
Consistent means offering the same standard of service over and over again.
Scientists repeat experiments to test whether results are consistent and reliable.
"A consistent method of measurement" means using the same approach or criteria each time when evaluating or quantifying something. This helps ensure that data is reliable and can be compared accurately over time or across different situations.
delivers more consistent, reliable pressure with each breath
It means that the results you are aquiring are still being looked over or have yet to be graded.
These are unlike processes applied to achieve different results. The only similarities are basic: each is a process of propelling media at a high velocity to strike a surface. Shot peening however requires control over a consistent size and shape of media, a consistent velocity of media, a consistent volume of media striking each surface area, and for a consistent length of time. Careful controls yield consistent and repeatable results that are not measurable visually. Blast cleaning is ordinarily less controlled, therefore less expensive, and results can usually be assessed visually.
You have to state whether or not your hypothesis was supported by the experiment and then explain why or why not. e.g. The hypothesis, if the concentration of the hydrochloric acid is increased, the change in weight of the calcium carbonate will increase, was supported by the experiment that was conducted. There was a notable difference in the change in weight of the calcium carbonate between the different concentrations. The data was reliable as the data was consistent over the three trials and it supported the hypothesis, which was backed by scientific explanation. Acids with a higher concentration contain more acidic particles. Because of this, the reaction was more likely to happen and happened over a larger amount of the surface area of the calcium carbonate. There were no anomalies in the data. As stated previously, the data was consistent over the three trials. Make sure you explain how reliable the data was and why or why not
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.
You are looking over the results of some process to see if they make sense, need more research, are totally out of balance with previous results etc.
Scanned means like something that goes over things then tells you the results. To scan something is to make a quick detailed survey of it.
Repeatably means able to be repeated, or able to have the same results happen again in the same way.
It means that if the poll was taken over and over again, the results would match the population 95% of the time.