For Data Science Learners
How to perform the MANOVA test in R?. when there are several response variables, a multivariate analysis of variance can be used to examine them all at once (MANOVA). This article explains how to use R to compute manova. For example, we might run an experiment in which we give two groups of mice two…
Two-Way ANOVA Example in R, the two-way ANOVA test is used to compare the effects of two grouping variables (A and B) on a response variable at the same time. Factors are another name for grouping variables. Levels are the several categories (groups) of a component. The number of levels varies depending on the element….
One way ANOVA Example in R, the one-way analysis of variance (ANOVA), also known as one-factor ANOVA, is an extension of the independent two-sample t-test for comparing means when more than two groups are present. The data is divided into numerous groups using one single grouping variable in one-way ANOVA (also called factor variable). The…
One-Sample Wilcoxon Signed Rank Test in R?, When the data cannot be assumed to be normally distributed, the one-sample Wilcoxon signed-rank test is a non-parametric alternative to the one-sample t-test. It’s used to see if the sample’s median is the same as a known standard value (i.e. theoretical value). The data should be symmetrically distributed…
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How to perform a one-sample t-test in R?. one-sample The t-test compares one sample’s mean to a known standard (or theoretical/hypothetical) mean. One-sample t-tests can only be used when the data is normally distributed. The Shapiro-Wilk test can be used to verify this. How to perform a one-sample t-test in R Typical research questions are:…
Statistical test assumptions and requirements, many statistical processes, such as correlation, regression, t-test, and analysis of variance, presuppose that the data has a given property. Statistical test assumptions and requirements In general: The data are normally distributed, and the variances of the groups being compared are uniform (equal). These assumptions must be treated carefully in…
Best Data Science YouTube Tutorials, Data science is one of the most rapidly expanding fields in the world. Organizations are rapidly hiring data scientists to help them evaluate ever-larger and more complicated data sets. The development of big data, as well as the desire to make sense of it all, has produced a vortex in…
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5 Free Books to Learn Statistics For Data Science, every day, data scientists employ statistics as a core skill. It is a discipline of mathematics that enables us to collect, characterize, interpret, visualize, and draw conclusions from data. It will be used by data scientists for data analysis, experimental design, and statistical modeling. Machine learning…
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Best Online Course For Statistics, with the introduction of Deep Learning and Neural Networks, statistics, number crunching, and data science are essential skills. For newcomers, working with large data sets and making significant inferences might be intimidating. However, if you refer to the popular Statistics courses from the greatest teachers listed below, you can have…
Ad Hoc Analysis, A graph of data is sometimes the outcome of ad hoc analysis. Ad hoc means “just for a certain reason.” In business intelligence, ad hoc analysis is performed to answer a specific question at a certain time; in other words, on a “as needed” basis. The end result is a graph, report,…
