Some doubts about determining experiments

In summary, "Some doubts about determining experiments" explores the challenges and uncertainties involved in designing and interpreting experimental studies. It highlights issues such as the validity of assumptions, potential biases, and the difficulty in replicating results, which can complicate the process of drawing reliable conclusions from experiments. The discussion emphasizes the need for careful methodology and critical evaluation of experimental design to enhance the robustness of scientific findings.
  • #1
gionole
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Imagine experiment is such as I drop a ball from some height vertically only.

What’s the right way to do 2nd experiment in order to check homogeneity of space.

Way 1: I move a little bit and drop the ball (same height, it’s just I moved - ball as well, but not in terms of height)

Way 2: We stay at the same place, but we drop the ball from higher height.I remember there was a constant speed moving train example and we were checking homogeneity such as we were in the train frame, drop, then we moved further in the train and drop it again from the same height. If so, then way 1 must be correct(since the experiments must be done with the same initial conditions - initial location, initial speed).

What I don’t get now is Lagrangian case for which we do for homogeneity check. For the ball, we know Lagrangian would be: ##L(y) = \frac{1}{2} mv^2 - mgy##

Then we say ##L(y+a) = \frac{1}{2} mv^2 - mg(y+a)##

How is this valid ? We definitely shift the ball upper, while we said that way 1 was correct above. Does this mean Way 2 is correct ?
 
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  • #2
We check
Way 2:homogeneity in space y
Way 1: homogeneity in space z or x.
 
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Likes gionole
  • #3
All good. No need for further replies. Thanks.
 

FAQ: Some doubts about determining experiments

How do I choose the right variables for my experiment?

Choosing the right variables involves identifying the independent variable (what you will change), the dependent variable (what you will measure), and the controlled variables (what you will keep constant). Your choice should align with your hypothesis and the specific question you are trying to answer.

What is the importance of a control group in an experiment?

A control group is essential for establishing a baseline that allows you to compare the effects of the independent variable. It helps in isolating the factor being tested and ensures that the results are due to the independent variable and not other factors.

How can I ensure my experiment is repeatable and reliable?

To ensure repeatability and reliability, clearly document every step of your experimental procedure, use precise measurements, and conduct multiple trials. Peer reviews and replication by other scientists also contribute to the reliability of your findings.

What should I do if my experiment results are inconclusive or don't support my hypothesis?

If your results are inconclusive or don't support your hypothesis, it's important to review your experimental design for any errors or uncontrolled variables. Consider repeating the experiment or modifying your hypothesis based on the new data. Negative results are also valuable as they contribute to the overall understanding of the subject.

How do I determine the sample size for my experiment?

The sample size should be large enough to yield statistically significant results, which often depends on the variability of the data and the desired confidence level. Statistical power analysis can help determine the appropriate sample size needed to detect an effect if there is one.

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