Statistical Aid: A School of Statistics
Learn Statistics and Data Analysis Intuitively!
MD TOUHIDUL ISLAM
We’re learning how to perform multiple regression analysis using stata this session. Regression is a prominent statistical technique for predicting a single outcome variable (continuous variable) from a set of independent factors (continuous as well as binary variables). For example, you may use gender (binary), family income, age, parental education, and self-efficacy to predict pupils’ … Read more
Data utilization has become a day-to-day business essential in today’s digital world, whether in public or private enterprises. Whatever sector or field you work in, you will always come across data, either indirectly as someone who relies on data-driven decisions or directly as someone who interprets it. In this session, we discuss the introduction part … Read more
What is MANOVA (Multivariate Analysis of Variance)? Why MANOVA is useful? If there is only one dependent variable is of interest for quantifying the differences between groups, then MANOVA is not necessary. Assumptions of MANOVA MANOVA follows similar assumptions as in ANOVA for the independence of observations and homogeneity of variances In addition, MANOVA needs to meet … Read more
A general linear model (GLM) with at least one continuous and one categorical independent variable is known as ANCOVA (treatments). When the effect of treatments is essential and there is an additional continuous variable in the study, ANCOVA is effective. A covariate is an additional continuous independent variable in ANCOVA (also known as control, concomitant, … Read more
In the world of data analysis and research, the statistical test of significance plays a crucial role in determining whether an observed effect or relationship is real or simply due to random chance. It helps researchers and analysts draw valid conclusions from data, ensuring accuracy and reliability in decision-making. This article will provide a comprehensive … Read more
A one-sample t-test is used to see if the mean of a population from which a sample was taken differs statistically from a hypothesised value. The null hypothesis in a t-test is that the population mean is equal to the hypothesised value, while the alternative hypothesis is that it is not. A two-tailed t-test is … Read more
The Pearson correlation coefficient, sometimes known as Pearson’s r, is a statistic that determines how closely two variables are related. Its value ranges from -1 to +1, with 0 denoting no linear correlation, -1 denoting a perfect negative linear correlation, and +1 denoting a perfect positive linear correlation. A correlation between variables means that as … Read more
The Chi-Square Test widely examines relationships between categorical variables as a statistical method. Researchers and analysts apply it in hypothesis testing across various fields, including business, healthcare, and social sciences. This guide will explain the fundamentals, its types, applications, and how to interpret the results. What is the Chi-Square Test? The Chi-Square Test is a … Read more
Random Forest is one of the most widely used ensemble learning techniques in machine learning and statistics. It is a powerful algorithm that enhances prediction accuracy and minimizes overfitting. This article explores the fundamentals of Random Forest, how it works, and its applications in various domains. More precisely, Random Forest is a strong ensemble learning … Read more
The paired sample t-test, sometimes called the dependent sample t-test, is a statistical procedure used to determine whether the mean difference between two sets of observations is zero. In a paired sample t-test, each subject or entity is measured twice, resulting in pairs of observations. The steps involved in paired sample t-test are following: Introduction Formulation … Read more
You cannot copy content of this page