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Our Blogs discuss the trending topics in statistics that students are taught in their university. We hope the blogs would unveil you some of the most in-depth concepts.
Research paper The format of a research paper is provided here. This blog on the research paper aims to analyze the effectiveness of various sleep protocols in helping patients improve their sleep. A clear structure is followed here, which can be beneficial to any student with problems on research... Read More
K-Nearest Neighbors (KNN) The k-nearest neighbor algorithm is an ml learning algorithm used for both classification and regression predictive problems. This blog explains how to use the algorithm in R. Introduction The k-nearest neighbors (KNN) algorithm is a simple, easy-to-enforce supervised... Read More
Bivariate AnalysisThis is a bivariate analysis where we perform the analysis on a real data set. All the data analysis procedures are applied in this article. In addition, we will fit a bivariate and a multiple linear regression to understand the baseline characteristics of the variables.MethodsA s... Read More
Statistical methods Our main focus in this article is to understand the different statistical methods, such as sampling techniques, data collection, and data analysis. The explanation provided here is brief to help you understand the key concepts of the topic. Sampling A snowball samp... Read More
exploratory data analysis Here is a clear demonstration with detailed explanations of exploratory data analysis and correlation. Correlation is employed to test the strength between two variables. Exploratory data analysis is simply applied to know more about the variables in the data set. D... Read More
Investment by China in African Countries Figure 1 presents the total investment by China in African countries over the span of 2000 and 2015. The amount is the sum total of investment over the period. Our statistics homework helpers observe that the investment has fluctuated over the years, with i... Read More
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The T-test is a statistical test conducted on categorical data to test for the equality of means in the two categories. Pretty straightforward, but in some cases, it could be challenging.
Mostly, regression analysis is used to identify the relationship between the independent and dependent variables. After the best fitting equation has been obtained, it’s used for prediction. The world of or regression analysis is wide. In its simplest form, we have linear regression, while in advanced cases, we have Bayesian regression and lasso regression. Our online statistics tutors are well versed in with all the types of regression methods