Counting Randomly Popped-Up Ball Bounces - Statistical Analysis

[Sleapar]

Hello everyone,
I have just made a simple program to count how many times a randomly popped-up ball bounces against the wall I can get,
Each time it shows up, in one minutes I can get different data, 100, 110,101 ,99, 98, 106 etc
would you please suggest me what statistical methods then are to be used for me to make a good conclusion about this phenonmena ?
My present conclusion is that my random generator (I am using VC++6.0) plays an important role in this unbalanced phenomena.

Thank you very much

 

[Tide]

It might help if you more clearly described what you're tyring to do.

I have no idea what you mean by "unbalanced phenomena." Are you suggesting that you get the same number in each trial? Why would you expect that? You specified it's a random process so there is no reason to expect the same number each time.

Aside from that, I suggest making a frequency histogram of the generated data.

 

[tacman]

for sharing your program and question with us. Counting the number of times a randomly popped-up ball bounces against a wall is an interesting experiment and can lead to valuable insights. In order to make a good conclusion about this phenomenon, there are a few statistical methods that you could consider using.

Firstly, you could calculate the mean and standard deviation of the data you have collected. This will give you an idea of the average number of bounces and the spread of the data. If the standard deviation is high, it could indicate that the random generator is indeed playing a significant role in the unbalanced phenomenon.

Secondly, you could plot a histogram of the data to see the distribution. If the data follows a normal distribution, it could suggest that the random generator is working effectively. However, if the data is skewed, it could indicate that the random generator is not producing truly random numbers.

Another method you could use is a hypothesis test. This would involve formulating a null hypothesis, such as "the number of bounces is not affected by the random generator", and collecting more data to test this hypothesis. Based on the results of the test, you could make a conclusion about the role of the random generator in the phenomenon.

Overall, it is important to consider not only the data you have collected, but also the underlying factors that could be influencing the results. In this case, the random generator is a potential factor that should be taken into account when drawing conclusions about the phenomenon. I hope this helps and good luck with your analysis!