Is there a website where i can find the information you provided further because i am still not understanding towards what you mean.....thanks i'll appreciated it...
My question is in statistics under what circumstances would the mode be an appropriate measure of central tendency?
For Further Reading
Statistics,math - drwls, Monday, July 9, 2007 at 8:13pm
Whenever you expect a "normal" Gaussian distribution and have a large number of measurements. In that case the "mode" or most frequently obtained value should also be the mean of the distribution.
In any normal distribution, as the number of samples gets large, the mode will become the mean.
In any normal distribution, as the number of samples gets large, the mode will become the mean.
http://www.stat.sc.edu/~west/javahtml/CLT.html
Roll five dice, 10 thousand times, watch the mode become the mean.
http://www.kmlhs.org/faculty/TKUEHL/Precalculus/MESA/Plinko/Plinko%20Research.htm
thank you this sure helps...
I'm glad that the information provided was helpful to you. If you're looking for further reading on the topic of when the mode is an appropriate measure of central tendency in statistics, I can provide you with some resources to explore.
One source you can refer to is a website called "Central Limit Theorem Applet" provided by the University of South Carolina. The link to this website is http://www.stat.sc.edu/~west/javahtml/CLT.html. It explains the concept of central limit theorem, which is relevant to your question.
Another resource you can check out is a webpage titled "Plinko Research" from Kettle Moraine Lutheran High School. The link to this webpage is http://www.kmlhs.org/faculty/TKUEHL/Precalculus/MESA/Plinko/Plinko%20Research.htm. Although it is focused on a specific experiment involving Plinko, it explains how the mode becomes the mean in normal distributions with a large number of samples.
Remember, these resources provide further information and explanations related to your question. By exploring these sources, you can gain a deeper understanding of when the mode is an appropriate measure of central tendency in statistics.