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Category: Statistics

Statistics

Handling Non-Normally Distributed Data by Removing Outliers

By Kanda Data / Date Jun 17.2024

The topic I’m writing about today is prompted by questions on how to handle data that is not normally distributed. We know that in quantitative analysis, several statistical tests require that the data be normally distributed. This is an interesting topic that we will delve deeper into in this article.

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Statistics

The Differences Between Nominal Data Scale and Ordinal Data Scale in Research Variable Measurement

By Kanda Data / Date Jun 06.2024

In statistical analysis, data measurement scales are divided into four main categories namely nominal scale, ordinal scale, interval scale, and ratio scale. A proper understanding of the differences among these scales is crucial for determining the appropriate data analysis method.

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Statistics

Dummy Variables in Multiple Linear Regression Analysis with the OLS Method

By Kanda Data / Date Jun 02.2024

Multiple linear regression analysis is a well-known technique frequently used by researchers to analyze the influence of independent variables on dependent variables. The ordinary least squares (OLS) method is one of the most commonly used methods in this analysis.

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Descriptive Statistical Analysis Using Excel | Easy and Accurate

By Kanda Data / Date May 16.2024 / Category Statistics

Descriptive statistical analysis is one of the important methods in analyzing data to obtain useful information for researchers. With Excel, you can easily describe and interpret data to gain a better understanding of patterns and trends in the analyzed data.

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Statistics

Understanding the Essence of the Difference Between Descriptive Statistics and Inferential Statistics in Research

By Kanda Data / Date Mar 20.2024

In conducting research, understanding the basic theory of statistics becomes crucial for researchers. Why is this so important? Because to extract accurate conclusions from research data, careful analysis using statistical tools is needed.

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Statistics

Can nominal scale data be analyzed using regression analysis?

By Kanda Data / Date Jan 16.2024

Regression analysis is commonly used to examine the influence of independent variables on dependent variables observed in a study. However, regression analysis is more suitable for data with interval or ratio scales. How about data with nominal scales, can regression still be used?

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Statistics

Data That Cannot Be Transformed Using Natural Logarithm (Ln)

By Kanda Data / Date Jan 13.2024

In quantitative data analysis, data transformation is not a new concept. It is a process of converting the original form of data into another form to improve the data and meet the assumptions required for quantitative data analysis.

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Statistics

Differences Between Paired Sample T-Test, Independent Sample T-Test, and One-Way ANOVA

By Kanda Data / Date Jan 08.2024

Differential testing is aimed at determining the mean differences in the tested sample groups. In practice, paired sample t-test, independent sample t-test, and one-way ANOVA are often used to test means in more than one sample group.

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Categories

  • Article Publication
  • Assumptions of Linear Regression
  • Comparison Test
  • Correlation Test
  • Data Analysis in R
  • Econometrics
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  • Nonparametric Statistics
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  • Regression Tutorial using Excel
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