For Data Science Learners
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,…
Similarity Measure Between Two Populations, The Brunner Munzel test (also known as the Generalized Wilcoxon Test) is a nonparametric statistical test for determining whether two samples are stochastically equal. Stochastic equality is a measure of population similarity in which two populations have about the same frequency of larger values. In statistical software, the BM test…
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Rejection Region in Hypothesis Testing, What is the definition of a Rejection Region? A rejection region is a section of a graph where the null hypothesis is rejected (assuming your test results fall into that area). Rejection Region The primary goal of statistics is to test theories or experiment results. For example, you may have…
An educated assumption about something in the world around you is a hypothesis. It should be able to be verified through experiment or observation. Consider a new drug that you believe may be effective. You believe there is a better method to teach. A possible new species’ habitat. A more equitable method of administering standardized…
Test for Normal Distribution in R, Many statistical tests, such as correlation, regression, t-test, and analysis of variance (ANOVA), presuppose that the data has particular features. They demand that the data follow a normal or Gaussian distribution. These tests are known as parametric tests since their validity is determined by the data distribution. Normality and…
