Anyone? Exams are just behind the corner and I can not figure this one out. Hate it if they would ask to use this in the test. It could be so simple if i could just understand
I might mention that whatever I am doing (wrong) seems to be sufficient enough (according to the answer sheets in my books), when there are no tied data. Since there is no elaboration what to do with tied data in my book, I assume I am missing something that has to do with that, maybe?
By the...
Gosh, I have no idea what you mean.
I place each row into a column. Then, beginning from the smallest of each column (this case 0) I begin to rank values ( 0 is smallest so it is 1). For tied ranks I add up the ranks, say, in row 1 there was two 1`s so there ranks would be 2 and 3, and 2 +...
I think that is what the U-test tries for, no?
I am studying a statistic book for an exam. There is a problem there as such:
Two groups (<40 & 40<) are measured for the amount of hours they utilize medical services. The results in hours are given respectively in the data I posted last...
Ok thank you.
What is U for the following data?
2, 0, 6, 1, 8, 4, 3, 2, 5, 4, 5, 3, 1, 7, 6, 5, 4, 5, 5, 4
7, 8, 3, 6, 6, 7, 3, 4, 3, 5, 8, 6, 9, 2, 4, 5
When I enter these into http://www.vassarstats.net/utest.html I get U(a) to be 214.
Now I understood that U is the sum of ranks - the two...
Homework Statement
Why does excel give me this:
http://postimg.org/image/68b9z1lqt/ [Broken]
And various online calulators (for example http://www.alcula.com/calculators/statistics/linear-regression/), and my own calulations give me this:
http://postimg.org/image/kpljm4awx/ [Broken]...
Could some one tell me how to count a U test? I can´t find it anywhere!
So I know you rank the values from smallest to biggest across each sample (if that makes any sense to you) and then you count the ranks together and use the following equation:
U = n(1) * n(2) + ( n(1) * [ n(2) + 1])/2 - R...
Hey, anyone know a really good page for probability math practice. I´m studying for university. Basic stuff like, but not toooo basic
EDIT: Somewhere, where there are answers also to the problems
So, as far as I know, there are two χ2-tests: "test for fit of a distribution" & "Test of independence"
How big of a mistake is it to use the one instead of the other in an exam for example (of course all exams are all different to some degree, but generally)?
The only differences I can...
Yes I understand
O, is it to make the distribution more like a normal distribution, or to "normalize" it, because only normal distributions are compatible with parametric tests?
EDIT: No wait, I don´t. you mean logarithm does not fix skewness? If parametric tests don´t work on heavily skewed...