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What does a t-test tell you?
A t-test is an assessment of whether the means of two groups are statistically different from one another (running a t-test is appropriate when you want to compare the means of two groups). A t-test tell you the probability that those two sets of values come from different groups.
Example of parametric test?
The Fisher F-test for Analysis of Variance (ANOVA).
Is a t-test a parametric study?
Yes, it is. The one sample t-test is a study of the parameter population-mean. You can also use the t-test to test for the difference between two population means (both parameters).
Is chi-square test parametric or non-parametric?
non-parametric I believe the above is a reductionistic assumption bassed upon ill-informed logic. Chi-square is a statistic that is related to the central limit theorem in the sense that proportions are in fact means, and that proportions are normally distributed (with a mean of pi [not 3.141592653...] and a variance of pi*(1-pi)). Therefore, we can perform a normal curve test for examining the difference between proportions such that Z squared = chi square on one degree of freedom. Since Z is indubitably a parametric test, and chi square can be related to Z, we can infer that it is, in fact, parametric. From another approach, a parametric test is a test that makes an assumption about the value of a parameter (the measure of the population rather than your sample) in a statistical density function. Since our expected frequencies are based upon either theory, or a mathematical assumption based upon the average of our presented frequencies, i.e. the mean, we are making an assumption about what the parameter of our distribution would be. Therefore, given this assumption, and the relationship of chi square to the normal curve, one can argue for chi square being a parametric test.
Is Paired samples T-test an example of nonparametric tests?
A paired samples t-test is an example of parametric (not nonparametric) tests.
Can a single t-test compare the means of 3 or more groups?
No, don't use a single t-test to compare the means of 3 or more groups. Use ANOVA.
Is F-Test parametric or non-parametric?
Parametric.
When should the Kruskal-Wallis test be used?
The Kruskal-Wallis test should be used when you have three or more independent groups and want to compare the medians of non-normally distributed data. It is a non-parametric alternative to the parametric ANOVA test and can be applied when the assumptions for ANOVA, such as normality and homogeneity of variances, are violated. The Kruskal-Wallis test is particularly useful when working with ordinal or skewed interval/ratio data.
Is parametric test stronger than nonparametric test?
If the distribution is parametric then yes.
What does a t-test tell you?
A t-test is an assessment of whether the means of two groups are statistically different from one another (running a t-test is appropriate when you want to compare the means of two groups). A t-test tell you the probability that those two sets of values come from different groups.
Is t-test a parametric test or not?
yes
What are examples of parametric and nonparametric statistical tests?
Parametric statistical tests assume that your data are normally distributed (follow a classic bell-shaped curve). An example of a parametric statistical test is the Student's t-test.Non-parametric tests make no such assumption. An example of a non-parametric statistical test is the Sign Test.
What is the Kruskal-Wallis test, and when is it appropriate to use it?
The Kruskal-Wallis test is a non-parametric statistical test used to compare the medians of three or more independent groups. It is appropriate to use when the data violate the assumptions of parametric tests, such as ANOVA, such as non-normality or unequal variances. It is commonly used when analyzing ordinal or continuous data that are not normally distributed. You can get expert assistance also from various online consultancies such as SPSS-Tutor, Silverlake Consult, etc.
The data you are comparing is both parametric for one set and non-parametric for another Is there anything that can test this?
Parametric for one set?! Yeah
What would you use a parametric test for?
* Always when the assumptions for the specific test (as there are many parametric tests) are fulfilled. * When you want to say something about a statistical parameter.
The Binomial Test is a parametric statistical test?
Binomial is a non- parametric test. Since this binomial test of significance does not involve any parameter and therefore is non parametric in nature, the assumption that is made about the distribution in the parametric test is therefore not assumed in the binomial test of significance. In the binomial test of significance, it is assumed that the sample that has been drawn from some population is done by the process of random sampling. The sample on which the binomial test of significance is conducted by the researcher is therefore a random sample.
What nonparametric test does not have comparable parametric test?
A classic would be the Kolmogorov-Smirnov test.
