05-23-2013, 10:07 PM
(This post was last modified: 05-23-2013, 10:38 PM by JohnnyHeck.)
Stats can be confusing because you are going from certainty (y=b+mx) to, in a linear regression, a mathematical best guess model
(y-carrot=b(0) +b1x). Then on top of this you have an estimate, based on a normal distribution of error (i.e. the difference between your best guess and the actual value of y) so y(actual)=b(0) +b(1)x + e. Let's say you graph (called scatterplot) height as x and weight as y of a randomly (by chance) sample group of people, you would see on this graph that as height went up, weight went up (obviously expected of course), but not in an exact relationship (skinny tall people can be outweghed by short rotund people). Say you want to get a relationship of height vs weight (a carnival act maybe?) Here you're best guess (meaning the least range of error - that is how far off is your y(actual) - for all the y vs x in your sample data set - will be a linear regression model (a mathematical description for the phenomena of height vs weight)
Have you looked into the Prospero courses by Pearson:Propero They are self paced like SL but SL only has Business Stats instead of Math Stats which you need. Prospero will give you 24/7 online tutoring service by SmartThinking (TESC includes this service with any course you take from them). I believe you need a course for stats (You are expecting too much of yourself to do this on your own.) that is well organized (this is what guided study is all about vs. flashcard blitz) supplemented by a tutor that feels so good to answer your dumbest questions. A lot of confusion about stats is nomenclenture. Believe me, it's not consistent. So it's not you that is having the real problem, it's the teachers that can't get the issue simplified in a step by step manner. We'll just have to keep looking until we find what will work for you.
You have worked so hard and are so close. We are not going to abandon ship now!
(y-carrot=b(0) +b1x). Then on top of this you have an estimate, based on a normal distribution of error (i.e. the difference between your best guess and the actual value of y) so y(actual)=b(0) +b(1)x + e. Let's say you graph (called scatterplot) height as x and weight as y of a randomly (by chance) sample group of people, you would see on this graph that as height went up, weight went up (obviously expected of course), but not in an exact relationship (skinny tall people can be outweghed by short rotund people). Say you want to get a relationship of height vs weight (a carnival act maybe?) Here you're best guess (meaning the least range of error - that is how far off is your y(actual) - for all the y vs x in your sample data set - will be a linear regression model (a mathematical description for the phenomena of height vs weight)
Have you looked into the Prospero courses by Pearson:Propero They are self paced like SL but SL only has Business Stats instead of Math Stats which you need. Prospero will give you 24/7 online tutoring service by SmartThinking (TESC includes this service with any course you take from them). I believe you need a course for stats (You are expecting too much of yourself to do this on your own.) that is well organized (this is what guided study is all about vs. flashcard blitz) supplemented by a tutor that feels so good to answer your dumbest questions. A lot of confusion about stats is nomenclenture. Believe me, it's not consistent. So it's not you that is having the real problem, it's the teachers that can't get the issue simplified in a step by step manner. We'll just have to keep looking until we find what will work for you.
You have worked so hard and are so close. We are not going to abandon ship now!
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