November 7, 2020 Random Forest Classification Model in R Why Random Forest classification Model in R? Random forest regression model getting model accuracy is very difficult in some cases, the alternative is to…

November 5, 2020 Random Forest Model in R The random forest model in R is a highly useful tool in analyzing predicted outcomes for a classification or regression model. The main idea…

September 25, 2020 Chi-Square distribution examples Chi Square distribution examples an overview, In the test hypothesis, it is usually assumed sample drawn from a known distribution like binomial, Poisson, normal,…

September 24, 2020 Discriminant analysis in r Discrimination tests are more important in sensory analysis. The main idea behind sensory discrimination analysis is to identify any significant difference or not. Here are the details of different types of discrimination methods and p-value calculations based on different protocols/methods. This article will discuss different types of methods and discriminant analysis in r.

September 22, 2020 paired t test tabled value vs p-value When do you use paired t-test and how to apply the same in a practical situation? In this article, we will talk about paired…

September 19, 2020 t-test in R-How to Perform T-tests in R Student’s t-test is the deviation of the estimated mean from its population mean expressed in terms of standard error. In this article talking about…

September 16, 2020 Proportion test in R How to do a proportion test in R and what are the conditions that need to meet for the proportion test? The sampling method…

September 14, 2020 One sample analysis in R Hypothesis: One sample analysis in R-In statistics, we can define the corresponding null hypothesis (H0) as follow: 1. H0:m=μ, 2. H0:m≤μ 3. H0:m≥μ The corresponding alternative hypotheses (Ha) as follow: 1. Ha:m≠μ (different)…