statistics: the covarience?
813077
I'm not sure precisely which way you were taught to do this, but heres how I'd do it:\nCov(X,Y) = E[XY]-E[X]E[Y]. Now E[XY] = (integral from y=0 to y=1) of (integral from x=-y to x=y) of xy*1. That inner integral turns into (0.5x^2y) from x=-y to x=y; substitute those in and you get 0, so the whole thing becomes 0. Also, E[X] is obviously 0 (you could do that by integrating again, but its symmetric about the y axis), so the covariance is 0.\nHowever, the variables are definitely not independent - if y<=0 then P(X>0.5)=0, but if y<=1 P(X>0.5) is bigger than 0.
767627
Quantitative methodologies... statistical analysis?   How many pages allowed on here... there are books and books about it... try reading literature on the above... infinite (well almost!) sources available on line, at the library and in book shops
450394
Is there any statistics to support what U said???\n\nWeirdo..
15436
1. Jessica M Utts and Robert F Heckard (2006) Statistical Ideas and Methods, Thomson Brookes/Cole \n*** (3 stars)\n2. Gerald Keller and Brian Warrack, Statistics for Management and Economics –6th Edition, Duxbury. This textbook comes with a CD-ROM comprising applets for interactive examples, a student study guide and data files.\n****(4 stars) - quite good
314956
This Electronic Statistics Textbook offers training in the understanding and application of statistics. \n\nExploratory Data Analysis is also a good site\n\n\navailable at the site below
1021536
theoretically the importance of statistics in management is to provide a factual basis for decision making - however, in my personal experience statistics are generally manipulated in order to support the personal aims of the manager concerned
739621
Statistics can be manipulated to prove or disprove anything you want.  If you want to trust them, you will have to trust whatever entity put them together or look at the same type of statistics from several reliable sources.
31132
A lot of people refuse to believe that statistics can apply to them.  If you focus on anecdotal evidence, you can ignore broader trends.  If you understand the ubiquity of probablity, you'd be less likely to engage in dangerous behaviors where the odds are agaist you (even though you might know some of the rare exceptions to the rule in your everyday life).
273663
Yes, there exist persons who are good at statistics.
43772
Hi! I'm a statistician and I use http://www.statsoft.com as well as cheap textbooks from Half Priced Books in my area. Both seem to help. If you have a specific question, feel free to email me. Don't know how much good I'll be because I use fancy software for my analysis, but I'll try.
1152350
I would say variance, but I'm no statistics expert.
227479
IMO, fb2kool is on to something.  Luck is used to describe a short series of events that appear to deviate from the average (when they simply contribute to the average).  The strange thing about probability is that the "average" never seems to happen.
320722
The central limit theorem still applies.\n\nWhen variables are correlated a principal component analysis will find the independent variables for which the CLT applies.
859045
No, rather a hugely misused tool.\n\nThat said, politicians and media are getting away with misusing statistics because they *and* Mr and Mrs John Public don't have the elementary notions of statistics needed to distinguish between the good, the bad and the ugly.
1030781
By reading your question, it appears that you are first and foremost seeking to "define" mathmatically what it is that you are attempting to do to reach your results-- presumably so that you can study that area of statistics further and apply it to your experiment.\n\nWith that in mind, what you are dealing with in your experiment is called "Event Probability."  In Event Probability, you are dealing with concepts of "conditional probability", "frequency", and "relative frequency."  For instance, what you are doing is very similar to the flow charts that appear in many family's medical books with a "Decision Tree" that allows you to answer "Yes" and "No" questions along a Flow Chart to reach an ultimate probability that you have a particular illness.  In other words, you are creating an algorithm by measuring the "relative frequency" of events and compound events and drawing a conclusion from that information.  People who perform these experiments are called "frequentists."  For all intents and purposes, this is what actuaries do at insurance companies and financial firms.  I'd read about those areas of statistics first which should prove very helpful in providing you with a structure for reaching the most helpful and accurate conclusions from your experiment.
242624
http://en.wikipedia.org/wiki/Mean_%28statistics%29\n\nThis is a link from Wikipedia. It shows lots of examples along with explanations.
477523
The no of degrees of freedom for a chi-square distribution ia n-1