## How to Conduct Regression Analysis – A Tutorial

## Distribution Shapes

Distribution Shapes When one is describing data, it is important to be able to recognize the shapes of the distribution values. In later chapters, you will see that the shape of a distribution also determines the appropriate statistical methods used to analyze the data.A distribution can have many shapes, and one method of analyzing a […]

## How to Write an Argumentative Essay: Examples & Tips

How to Write an Argumentative Essay: Examples & Tips Writing an argumentative essay involves presenting a well-supported argument in favor of a particular thesis statement. Whether you encounter this task in high school or at the university level, mastering the art of argumentation is crucial. This article provides a guide on how to write an […]

## How to write a Synthesis Matrix in Literature Review

What is a synthesis matrix in Literature Review? A synthesis matrix is a table that can be used to organize research. When completed, it provides a visual representation of main ideas found in the literature and also shows where there is overlap in ideas between authors. A completed matrix will help to integrate all of […]

## How to Interpret probability Value (P-value)

This video explains how to interpret probability Value, also kow an p-value NB: This video has been embeded under the persmission of Ron QS (Owner & Producer – Quantitative Specialists)

## Understanding Type I and Type II errors

Type I and Type II errors signify the erroneous outcomes of statistical hypothesis tests. Type I error represents the incorrect rejection of a valid null hypothesis whereas Type II error represents the incorrect retention of an invalid null hypothesis. Null Hypothesis Null Hypothesis refers to a statement which nullifies the contrary with evidence. Consider the […]

## Types of sampling design in Research Methodology

There are different types of sampling designs based on two factors viz., the representation basis and the element selection technique. On the representation basis, the sample may be probability sampling or it may be non-probability sampling. Probability sampling is based on the concept of random selection, whereas non-probability sampling is ‘non-random’ sampling. On element selection […]

## Introduction to Mediation Analysis

Introduction to Mediation Analysis This post intends to introduce the basics of mediation analysis and does not explain statistical details. For details, please refer to the articles at the end of this post. What is mediation? Let’s say previous studies have suggested that higher grades predict higher happiness: X (grades) → Y (happiness). (This research […]

## Understanding Adjusted R-Squared

Adjusted R-squared measures the proportion of the variation in your dependent variable (Y) explained by your independent variables (X) for a linear regression model. Adjusted R-squared adjusts the statistic based on the number of independent variables in the model.R2R2 shows how well terms (data points) fit a curve or line. Adjusted R2 also indicates how well terms fit […]

## T-Distribution Table

The critical values of t-distribution are calculated according to the probabilities of two alpha values and the degrees of freedom. The Alpha (a) values 0.05 one tailed and 0.1 two tailed are the two columns to be compared with the degrees of freedom in the row of the table. One Tail 0.05 0.025 0.01 0.005 […]