EstaTest-2020
50+
Downloads
Everyone
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About this app
EstaTest is an intuitive and easy-to-use mobile application. Intended for any student, teacher, researcher or data analyst who needs to relate variables (perform hypothesis contrast tests, bivariate relationship tests). The app guides the decision, realization and interpretation process, in a very simple and intuitive way.
First, it will ask you to mark the variables that you intend to relate to each other, their typology (categorical of two categories or more, or numerical or metric - quantitative). Once the combination has been entered, the app will ask you some filter-type questions to determine the application conditions, according to the type of test, in relation to the supposed follow-up of normal law by the distributions or metric variables in play, or on the number of cases expected in a procedure of relation between categorical-Chi squared. In some cases, the app will ask you for the type of design of the variables to continue determining, with precision and accuracy, the type of appropriate test to carry out the requested relationship. Once all the filters have been applied, which the user can pass by default, marking the most common or expected situation in case the application assumptions are unknown, the app will indicate the test or statistical procedure to apply to see the possible association ( relationship) between the variables. The tests that will be proposed when the application conditions are met are the following: Chi square, t-test independent measures, t-test related measures, anova, correlation ... In this case we are facing parametric tests - when the metric variable follows the normal law , or we assume it. In the event that this is not the case, when the metric variable in play does not follow the normal law -case of non-parametric tests- the app will propose the following tests: U of Mann Whitney, T of Wilcoxon, kruskal Wallis test, correlation of Spearman.
The app not only proposes the test to be carried out, but also allows you to watch a short video where it is explained how the statistical procedure is carried out and how it is interpreted, performed with the IBM-SPSS statistical package. Videos are one to two minutes long.
First, it will ask you to mark the variables that you intend to relate to each other, their typology (categorical of two categories or more, or numerical or metric - quantitative). Once the combination has been entered, the app will ask you some filter-type questions to determine the application conditions, according to the type of test, in relation to the supposed follow-up of normal law by the distributions or metric variables in play, or on the number of cases expected in a procedure of relation between categorical-Chi squared. In some cases, the app will ask you for the type of design of the variables to continue determining, with precision and accuracy, the type of appropriate test to carry out the requested relationship. Once all the filters have been applied, which the user can pass by default, marking the most common or expected situation in case the application assumptions are unknown, the app will indicate the test or statistical procedure to apply to see the possible association ( relationship) between the variables. The tests that will be proposed when the application conditions are met are the following: Chi square, t-test independent measures, t-test related measures, anova, correlation ... In this case we are facing parametric tests - when the metric variable follows the normal law , or we assume it. In the event that this is not the case, when the metric variable in play does not follow the normal law -case of non-parametric tests- the app will propose the following tests: U of Mann Whitney, T of Wilcoxon, kruskal Wallis test, correlation of Spearman.
The app not only proposes the test to be carried out, but also allows you to watch a short video where it is explained how the statistical procedure is carried out and how it is interpreted, performed with the IBM-SPSS statistical package. Videos are one to two minutes long.
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What's new
Performance improvements