KANDA DATA

  • Home
  • About Us
  • Contact
  • Sitemap
  • Privacy Policy
  • Disclaimer
  • Bimbingan Online Kanda Data
Menu
  • Home
  • About Us
  • Contact
  • Sitemap
  • Privacy Policy
  • Disclaimer
  • Bimbingan Online Kanda Data
Home/natural logarithmic transformation

Tag: natural logarithmic transformation

When Should Natural Logarithmic Data Transformation Be Applied?

By Kanda Data / Date Feb 02.2026 / Category Econometrics

When researchers, practitioners, or students are conducting data analysis on research results, they are often faced with data that do not meet the assumptions required by the chosen analytical method. After testing, it may turn out that the data distribution is highly skewed, the variance is not constant, or non-linear relationships between variables are observed. These conditions represent common challenges in statistical analysis, especially when using parametric methods such as linear regression analysis.

Continue Reading

Natural Logarithmic Data Transformation using Excel | Simple Steps

By Kanda Data / Date Apr 16.2025 / Category Excel Tutorial for Statistics

When conducting analysis using parametric methods, it is generally required that the data follow a normal distribution. However, in reality, data collected from the field often do not meet this expectation.

Continue Reading

Categories

  • Article Publication
  • Assumptions of Linear Regression
  • Comparison Test
  • Correlation Test
  • Data Analysis in R
  • Econometrics
  • Excel Tutorial for Statistics
  • Multiple Linear Regression
  • Nonparametric Statistics
  • Profit Analysis
  • Regression Tutorial using Excel
  • Research Methodology
  • Simple Linear Regression
  • Statistics

Popular Post

February 2026
M T W T F S S
 1
2345678
9101112131415
16171819202122
232425262728  
« Jan    
  • Alternative to the t-test When Data Are Not Normally Distributed
  • When Should Natural Logarithmic Data Transformation Be Applied?
  • Should Data Normality Testing Always Be Performed in Statistical Analysis?
  • Differences in Nominal, Ordinal, Interval, and Ratio Data Measurement Scales for Research
  • Reasons Why the R-Squared Value in Time Series Data Is Higher Than in Cross-Section Data
Copyright KANDA DATA 2026. All Rights Reserved