How do I know if a 3x2 ANOVA is significant on SPSS?
336426
The output should show you the p-value and significance.  It is the level of significance that is important-it should be at least below 0.05.   This information is found in a box at the bottom of the report-ther rest of it is just analysis of individual variance, but the really important info is the overall significance.  Tukey's test is one of the post-hoc tests, along with Bonferonni's, Scheffe's, etc.  These tell you the strength of the effect and where it's coming from, but are again not as important as that magic number, the significance of the Anova.  The post-hoc tests are up to individual choice, so you could use any of them.
518582
I don't really know, but usually when you're dealing with a coefficient/a ranking based on a known parameter, you have to use a standard item against which to measure. So things like specific gravity are based on an accepted level, and phenolic compounds would be measured against plants widely known to have a certain level.
186891
you do not need to have an r^2 value to determin if two values are correlated\n\nyou just look at the sctter plot\n\nif there is a a clear trend (ie as I increase one value the other value generally decrease  or genrally decrease)\nthis can be seen in a simple scatter plot one need no statistics to to see if there is correlation\n\nif ther eis no correlation the scatterplot will be totally random and no  pattern. Correlation you are generelaly looking for a linear pattern)\n\nif you wnat to technically test and  to have a significane value you can test Ho: R^2= zero  vs   H1: R^2 ~= zero\n\nthe problem you will encounter her is when you calculate R^2 you will only be able to get a point estimate. \n\nIf you wish to test the value of R^2 equal to zero then you will need to somehow to guage the variance.\n\nTo guage the variance of R^2 you will have to utilize the jacknife variance estimator or the bootstrap variance estimator\n\nthes are methods to compute variances for thing besides the mean ie the median, the max , the min, R^2\n\n\nto jacknife you compute the R^2 n times always leaving the nth observation out of the calculation. this gives you a range of R^2's. now you can compute a variance to test or use that set to define a CI to do your test.\n\nThe bootstrap is similar in that you compute the same value multiple times, but here you will take random samples with replacement from your samples until you have chossen n observations (not with replace ment so you get a differnt sample than you started with) now compute the value of intereest (R^2) off of this sample. this will give you another estimate for the same value. Now reapeat this exercise until you have a sufficent number of estimatess (say n) then we can now compute a variance for R^2 or use the set to define a 95% CI to do our test jsut as with the jacknife method
300611
The analysis of Likert scales is tricky (I personally don't use them b/c of this). You probably want software like SPSS or Visio to do cool graphics. Check this stuff out which may help. Good luck!\n\n--- For Likert Items there is a special method. You begin as for any multiple choice item by giving the number of people and the percentage of people who marked Strongly Agree, Agree, Undecided, Disagree, and Strongly Disagree. But then you take an additional step.\n--- The point of this extra step is that you can combine how people answered different items to get an overall response for each person, and for each group of people. This enables you to compare how two different groups answered the same group of questions.\n--- To do this you calculate very simply what is called a weighted average response. Assign 5 points for each Strongly Agree, 4 points for each Agree, 3 for Undecided, 2 for Disagree, and 1 for Strongly Disagree. Add up all the points for all the people answering the question in that group. Divide by the number of these people. \n--- Try to find interesting differences or comparisons between different groups of people. For more information on how to tell whether a difference in Likert value between two groups is big enough to be worth mentioning, see the webpages on statistics and experimental research. http://academic.brooklyn.cuny.edu/education/jlemke/courses/724-interp-analys.htm\n\nAdditional Resources:\nhttp://www.math.com/homeworkhelp/Statistics.html\nhttp://www.statisticssolutions.com/Tips_Resources.htm\nhttp://www.businessbookmall.com/free-stuff-statistics.htm\nhttp://www2.chass.ncsu.edu/garson/PA765/standard.htm
327897
This looks ok:\n\nhttp://www.wadsworth.com/psychology_d/templates/student_resources/workshops/stats_wrk.html\n\nor else just keep google-ing psychology+statistics.\n\nGood luck :-)
943155
Not as such.  You don't tell us which correlation coefficient you have in mind to use. However, Works  can help to take the slog out of the calculations.  I know Works is not as powerful as Excel but with a bit of care  it should be possible to create the formulae for analysis of your data.  If you go on to study this sort of thing in depth I would recommend the SPSS software.
1147736
It depends on what situation you are in.  SPSS is good for simple analyses, but I would use SAS for the estimation of mixed models and generallized linear models.\n\nActually, I prefer R to both of those.
858220
Depends on what variable you're differentiating with respect to:\ndV/dr : 2/3*pi*r*h\ndV/dh:  1/3*pi*r^2
97726
I know of no way to determine this without a counter. Go to link below for quality counter that is hidden from viewer's site. FREE and gives you great reporting.
472192
To elaborate further, your mode does tell you what the most common value in your data is, but, like the median, it's a somewhat arbitrary value.  For example, take the data set 1,2,2,3,7.  Both the mode and the median are 2, and the mean is 3.  Now take the data set 1,2,2,25,50.  Again, the mode and the median are both 2, but the mean is now 16.  Now, say that second data set represents the number of shark attacks that have happened in the past 5 years off the coast of a beachfront property you're thinking about buying.  I'd much rather know the mean number of shark attacks, not the mode or the median, wouldn't you?
611847
Depends on the sample size and population and things.  Generally, a z-table is good enough.  If the area outside is .0002, then that's around 3.7 sigmas.
95550
r - standard error = the significance of the estimate
736479
Broad question! Focusing it would help us answer better.\n\nReally basic stats would do things like tally and sum, average, find the median of the subjects you are testing.\n\nOnce you have those descriptive statistics, you can do things like compare outcomes between groups. Suppose you have two samples of people. One group has a mean life expectancy X. The other has mean life expectancy Y. To determine whether X and Y are significantly different from each other, you could do a Student t-test to determine whether the difference in values of X and Y are truly significant, or differ only by chance.\n\nthat's just one example. there are tons more!
903444
I have searched and searched for a website of that criteria, but have found none. Your best bet is to go to www.mensa.com and schedule a test, or to find an educational psychologist to examine you.
892708
Probably a t-test. \n\nTell us what hypothesis you are testing.
1086675
No it's not really, but you're meant to write it down in slightly increasing size ie: small 1 through to large 4. It's a psychological test. people avoid choosing 1 & 4 because they're too obvious in extremes and two is weeny, so that only leaves 3 which conveniently fits quite well. \nI've made quite a lot of money in pubs 'reading' people's minds with this trick
623677
Analysis of variance or ANOVA checks for the variation contributed by teh population in question