## How to Add R to Jupyter Notebook

Today i will teach you How to Add R to Jupyter Notebook You can add R to Jupyter Notebook by typing this command in the Anaconda Prompt: But just in case you were wondering, here are the full steps to add R to Jupyter Notebook from scratch. Steps to Add R to Jupyter Notebook Step […]

## How to Import an Excel File into R

Today i will teach you the step by step to import an Excel file into R? I’ll show you the steps to import your file using the readxl package. To start, here is a template that you can use to import an Excel file into R: library(“readxl”) read_excel(“Path where your Excel file is stored\\File Name.xlsx”) And if […]

## Types of Research Methods

Today i will discuss the Types of Research Methods Business research methods can be defined as “a systematic ad scientific procedure of data collection, compilation, analysis, interpretation, and implication pertaining to any business problem”. Types of research methods can be classified into several categories according to the nature and purpose of the study and other attributes. In […]

## How to Conduct and Interpret a Multinomial Logistic Regression

Today I will teach you how to Conduct and Interpret a Multinomial Logistic Regression in SPSS What is Multinomial Logistic Regression? Multinomial Logistic Regression is the regression analysis to conduct when the dependent variable is nominal with more than two levels.  Similar to multiple linear regression, the multinomial regression is a predictive analysis. Multinomial regression is […]

How to add Comments in R Comments are generic English sentences, mostly written in a program to explain what it does or what a piece of code is supposed to do. More specifically, information that programmer should be concerned with and it has nothing to do with the logic of the code. They are completely […]

## 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 […]