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Home/Excel Tutorial for Statistics

Category: Excel Tutorial for Statistics

Excel Tutorial for Statistics

How to Easily Activate Data Analysis Tools in Excel for Statistical Analysis

By Kanda Data / Date Sep 27.2023

Microsoft Excel is widely popular among researchers for assisting in various data tabulations and analyses. Excel provides a range of basic statistical functions such as mean, median, mode, standard deviation, and other functions for descriptive statistical analysis.

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Excel Tutorial for Statistics

How to Convert Data Transformed with Natural Logarithm (Ln) Back to its Original Form

By Kanda Data / Date Sep 25.2023

Natural logarithm transformation is a commonly used method in the data analysis process. In this transformation, we utilize the natural logarithm (ln) with the constant value ‘e’ to change the original data into a different form, aiming to meet the assumptions required for the selected statistical tests.

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Excel Tutorial for Statistics

How to Use Natural Logarithm Transformation in Excel and Interpret the Results

By Kanda Data / Date Sep 24.2023

Data transformation is an effort to change the measurement scale of raw data into another form so that the data can meet the assumptions required for the chosen statistical test. One form of data transformation is the use of natural logarithm transformation.

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Excel Tutorial for Statistics

How to Transform Natural Logarithm (Ln) in Cobb Douglas Regression Analysis using Excel

By Kanda Data / Date Jun 25.2023

In production theory, the production function is defined as the technical relationship between inputs and outputs, where the output is a function of the inputs. The production function allows us to understand how input variables can explain the output variable. Inputs in the production process include capital, labor, and other production input variables.

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Excel Tutorial for Statistics

How to Transform Natural Logarithm (ln) and Reverse (anti-Ln) in Excel

By Kanda Data / Date Apr 06.2023

Researchers often transform data to convert original data into another form to meet certain assumptions. Researchers can do several forms of data transformation. Natural logarithm transformation is a form of transformation frequently used by researchers in data analysis.

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Excel Tutorial for Statistics

Step-by-Step Tutorial: Finding Predicted and Residual Values in Linear Regression with Excel

By Kanda Data / Date Apr 03.2023

In linear regression analysis, residual values play an important role in supporting the main analysis. Residual values are the difference between actual values and predicted values. In the assumption testing of linear regression using the OLS method, residual values are needed for the testing of assumptions.

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Excel Tutorial for Statistics

How to use data analysis for sampling in Excel

By Kanda Data / Date Mar 22.2023

In research activities, researchers can take samples from the observed population. The purpose of sampling is motivated by time and cost limitations if observations are made on the entire population.

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Excel Tutorial for Statistics

How to Enable Data Analysis Button for t-test in Excel

By Kanda Data / Date Mar 04.2023

Currently, there are many tools available that researchers can use to help analyze research data. Most researchers are more familiar with using excel in manual calculations in data analysis.

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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
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