If a sample of 132 customers were taken from a population of 2340 customers, s^2 could refer to the variance of how many of the customers' ages? A. Neither 132 nor 2340 B. 132 C. Both 132 and 2340 D. 2340
@mathmate
@pooja195
In the usual statistics convention, \(s^2\) stands for sample variance, and \(\sigma^2\) for population variance. (By the way, I now know what level of statistics your working on, hence the context to give a more definite answer). @Tallan
so if the s^2 is the sample it would be 132.?
Correct! Well done! :)
Thanks! I was a little confused at first but i wrote down what they are and i figured it out... I have one question.. It was from one of my previous questions.. i dont remember which but its like a u kinda thing. Whats that mean again?
In the same vein, \(\mu\) stands for population mean, and \(\bar{x}\) represents sample mean.
\(\mu\) is a lower case Greek letter, pronounced "mu". \(\sigma\) is a lower case Greek letter, pronounced "sigma".
Ok thank you so much!! That is a big help for me!!
You're welcome! :)
Join our real-time social learning platform and learn together with your friends!