r - Difference between standard error and standard deviation? -


i have 2 samples. each calculate number of objects, according time. plot in y axis number of objects , in x axis time in hour. in excel have option plot error bars, using standard deviation or standard error. i'd know what's difference between them , if standard error enough show data of 2 samples significant? after reading definition on internet, it's still confusing me, being newbie on statistics.

this graph , plotting standard errors, gives. not enough judge significance of data?

enter image description here

i think mean have 2 sample populations, right? if have 2 samples means have 2 'records'. standard error refers "standard devation" occurs in sample population. standard deviation refers complete population. significance derived formula helps understand if 'effect' chance alone.

also, if meant have 2 samples, not enough statistical research. large studies use thousands of samples. however, "statistical" purposes taught me in math class 36 acceptable, long theres no bias , it's school-work. so.. hope helps.

edit: oh, standard deviation indicated "spread" of data.. http://upload.wikimedia.org/wikipedia/commons/thumb/8/8c/standard_deviation_diagram.svg/350px-standard_deviation_diagram.svg.png


Comments

Popular posts from this blog

apache - Remove .php and add trailing slash in url using htaccess not loading css -

javascript - jQuery show full size image on click -