Statistical Aid: A School of Statistics
Learn Statistics and Data Analysis Intuitively!
MD TOUHIDUL ISLAM
Machine learning is a field that’s growing fast and is now a big part of our lives. It’s important to know the basics of machine learning. This knowledge lets computers learn from data and make smart choices. This technology is changing many industries, like healthcare and finance. It has the power to make a big … Read more
A Latin square design is a design in which two gradients are controlled with crossed blocks, but in each intersection there is only one treatment level. The major feature of the Latin square design is its capacity to simultaneously handle two known sources of variation among experimental units. Latin square design gives two independent blocking … Read more
In the realm of research and data analysis, statistical tests serve as indispensable tools for drawing meaningful conclusions from observed data. They provide a rigorous framework for evaluating hypotheses, identifying relationships, and making predictions, moving beyond mere descriptive summaries to inferential insights about larger populations. The key to unlocking the power of statistical analysis lies … Read more
In this session, we are going to learn how to manipulate, compute, and check the reliability of our variables. Variable manipulation and reliability check is an essential step of data analysis. In this article we will also learn how to re-code the response of our variables and compute to a new variable of our interest. … Read more
We’ll be learning about data cleaning and editing in this session. Data cleaning is a process that checks to see if your variables’ values are valid. We do data coding in order to make data (participants’ responses) more manageable, in a numeric format that statistical software like Stata, SPSS, or Excel can understand, allowing you … Read more
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 a control, … 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
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