## The Difference Between the Bernoulli and Binomial Distributions

You might already be familiar with the binomial distribution. It describes the scenario where the result of an observation is binary—it can be one of two outcomes. You might label the outcomes as “success” and “failure” (or not!). Or, if you want to get mathematical about it, you might label them “1” and “0.” You […]

## How to test for the existence of a unit root in EViews – Stationarity of a Series

How to test for the existence of a unit root in EViews – Stationarity of a Series To test for the existence of a unit root in EViews and the stationarity of a series, you can use the following steps: Unit Root Testing in EViews: EViews provides a variety of unit root testing tools, including […]

## How to Conduct Regression Analysis Using SPSS

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## Assumptions and Diagnostics Tutorial assignment

Assumptions and Diagnostics Tutorial assignment Tutorial 6 (Week 7) Assumptions and Diagnostics Tutorial assignment: What might Ramsey’s RESET test be used for? Ans: The Ramsey’s RESET test is a test to determine the correct functional form. Ramsey’s RESET test is a test of whether the functional form of the regression is appropriate. In other words, […]

## What is a Frequency Polygon – Definition and Examples

What is a Frequency Polygon – Definition and Example Another way to represent the same data set is by using a frequency polygon.The frequency polygon is a graph that displays the data by using lines that connect points plotted for the frequencies at the midpoints of the classes. The frequencies are represented by the heights […]

## Unbiased Sampling Techniques – random, systematic, stratified, and cluster sampling.

To obtain samples that are unbiased—i.e., that give each subject in the population an equally likely chance of being selected—statisticians use four basic methods of sampling: random, systematic, stratified, and cluster sampling. Random Sampling Random samples are selected by using chance methods or random numbers. One such method is to number each subject in […]

## Types of Measurement Scales – Nominal, Ordinal, Interval, and Ratio

How variables are categorized, counted, or measured—uses measurement scales, and four common types of scales are used: nominal, ordinal, interval, and ratio. The first level of measurement is called the nominal level of measurement. A sample of college instructors classified according to subject taught (e.g., English, history, psychology, or mathematics) is an example of nominal-level […]

## 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 […]

## Difference between Descriptive and Inferential Statistics –Statistics for Machine Learning

To gain knowledge about seemingly haphazard situations, statisticians collect information for variables, which describe the situation. But before we differentiate between Descriptive and Inferential Statistics, Lets define common terms in statistics. Common Terms in Statistics A variable is a characteristic or attribute that can assume different values. Data are the values (measurements or observations) that the variables can assume. Variables […]

## Understanding 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 […]