I'm working on a project and have to know --\nwhat's the appropriate statistical test for a interval/ratio dependent variable and a nominal, dichotomous independent variable?
124910
you must be doing A level UK, i can't do data.
512198
If you assume it's normal, then yeah, although I assume there is more data than you have given as you do not have the variance there, although you could treat this as a binomial distribution giving it mean 0.3, variance n0.3*0.7, although when calculating the confience interval you'll want to divide by n^2 for that variance.
392486
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
415982
ok. i think i know what you're asking.\n\nDo you have a chart from whatever you're doing filled with information? Put that in your Results and Analysis section.\n\nBasically, just put anything with numbers into that section.\n\nYou could try to be just a little more vague when asking your question though  ;)
409578
Quit thinking x and y and start thinking independent variable and dependent variable, or independent variable and function result.\n\n\nAll you care about is that the independent variable is along the abcissa, and the dependent variable is along the ordinate.\n\nThat said, just pretend that the y in your equation is x for the TI and the x in your equation is the y for the TI.
480209
Good lord. I had to teach myself statistics, and I don't remember a lot of it, but I'll do what I can.\n\na) The null hypothesis is that the two learning environments have no impact on the grades of the course. The alternative hypothesis is that they will be different.\nb) Two-tailed, since you do not know which environment will be better or worse.\nc) The time spent in one vs. the other, and the quality of the teacher (as measured as a variable.)\nd) That there would be a standard margin for disparity.\ne) I have no clue. I never got that far.\n\n2) Don't know.
662695
really good or really bad, depending on how you want to look at it... and don't try telling me that wasn't a statistical answer!\n\np <0.0000001
489958
Considering the data you had shown,\nyou must use a one-tailed test.\nyour null hypothesis would be:\nHo: There is no significant difference between the mean amount of time devoted to patient care per week by doctors using conventional methods and alternative methods.\nHo: mean(conventional) = mean(alternative)\n\nyour alternative hypothesis must be:\nHa: The mean amount of time devoted to patient care per week by doctors using conventional methods exceeds that of doctors using alternative methods\nHa: mean(conventional) > mean(alternative)\n\nNow that you have the hypotheses, next is to set the level of significance but it's all up to you depending on how confident are that you will not commit any kind of error.\n\nAnd your asking about the appropriate test?\nFor me, the choice depends on the given.\nBut you can only choose from the second and fourth test since you have to use a directional test (one-tailed test).\n\nUse Z-test if the standard deviation or variance of the population is known.\nUse t-test if the standard deviation or variance of the population is unknown.\nThat's the general rule of choosing the appropriate test.\nBut there's another consideration in the selection of test.\nyou must also take into consideration the number of your sample, whether it exceeds 30 or not.\n\nThat's all. I hope I've been a great help to you. Please inform me if there is something wrong with my lecture here.\nthank you.
33667
SPSS\nWith your data entered, go to ANALYZE > GENERAL LINEAR MODEL > UNIVARIATE \nEnter dependent variable in Dependent List \nEnter independent variables in Factor \nContinue – OK \nOutput:\n(A) Descriptives (N, Mean, Std. Dev., etc) \nThis will give you a table. On the right hand side, the significances will be listed, along with the F values. On the far left side, under the column “source,” your variables will be listed. The corresponding F values and significances are for main effects and interaction effects. If the significance reading is less than .05, you are able to reject the null hypothesis.
370620
If you have a budget you could get Taylor Nelson Sofres or ACNielsen to help. Both of them have research panels over multiple countries using the same definitions in each country - therefore you will be able to compare.\n\nYou might also try EuroStat:\n\nhttp://epp.eurostat.ec.europa.eu/portal/page?_pageid=0,1136184,0_45572592&_dad=portal&_schema=PORTAL
155889
Student's t-test can be used to determines the probability that 2 random variables have the same mean. This can then be used to test whether two sets of data come from the same source.
492871
In an experimental design, the independent variable (also known as predictor or regressor or manipulated variable) is the variable which is manipulated or selected by the experimenter to determine its relationship to an observed phenomenon (the dependent variable). In other words, the experiment will attempt to find evidence that the values of the independent variable determine the values of the dependent variable (which is what is being measured). The independent variable can be changed as required, and its values do not represent a problem requiring explanation in an analysis, but are taken simply as given.\n\nMore generally, the independent variable is the thing that someone actively controls/changes; while the dependent variable is the thing that changes as a result. In other words, the independent variable is the “presumed cause,” while dependent variable is the “presumed effect” of the independent variable.\n\nthat being said,\nthe thing that the elderly were actively trying to change was the pain. they want to deal with the pain so they can overcome the limitations they faced as a result of that pain\n\nthe effect of the indep variable are the limitations faced due to the pain.\n\nhope this helps.
620601
It is not exactly clear what you need, but maybe you can use the Kolmogorov-Smirnov test (KS-test) for your problem. The KS-test tries to determine if two datasets differ significantly. The KS-test has the advantage of making no assumption about the distribution of data.  Note however, that this generality comes at some cost: other tests (for example Student's t-test) may be more sensitive if the data meet the requirements of the test.
346937
Your data doesn't support your hypothesis or the formula.\nLook for reasons that you may have had measuring error or experimental error.
132787
I would use spearman's rho.  The only difference between spearman's rho and pearson's correlation coefficient is that the spearman's rho is computed after ranking the numbers in sort order.
209822
I am not sure that I follow what you are asking. Are you looking for the above items to be charted as variables on your graph?\n\nPerhaps if you post additional details in your question, it would help us.
572920
Use the second derivative test, not sure exactly what it is still but it should be easy to find on the internet.