The biggest of all news I have for now is the fact that University exams are just round the corner, starting on May 29, my first university...anyway since my 2nd alternative(which I'd rather not even bother to mention) has backfired, I have no option but to...study, i guess!!...anyway, now im kind of like working on my Facebook account to make it look better ( at least to me)..nothin more i guess...wanted to write this blog for 2 reasons..one obviously being to vile away some time and the second being the fact that I wont be writing one any time soon..I read a book written by Sidney Sheldon recently, named " Are you afraid of the dark?", well honestly, I am not, but anyway the book was not too bad, twas abt 420 pages and what fascinates me the most is that I've transformed from a guy who never reads any book to a guy who actually has a lot of intrest in reading fiction :P it doesn't hurt if you read a bit does it??....thats all for now folks...another post is gonna come soon..if not, then maybe later, after all who holds the key to knowledge about the future?? Well, atleast not me !!
#ShortPost - will cover it all over a period of time With the increasing importance of data in making decisions, let us look at some of the data related terms used in statistics which can help you make data driven decisions. Types of variables: Two important types of variables which should not leave you stunned are: Categorical (or nominal) variables Ordinal variables Categorical: A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to the categories. Ordinal: An ordinal variable is similar to a categorical variable. The difference between the two is that there is a clear ordering of the variables. Interval: An interval variable is similar to an ordinal variable, except that the intervals between the values of the interval variable are equally spaced. Check the following link for more details: http://stats.idre.ucla.edu/other/mult-pkg/w...
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