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Home/statistics

Tag: statistics

Econometrics

Can Data Transformation Be Done More Than Once?

By Kanda Data / Date Oct 11.2023

For those of us accustomed to conducting research, understanding how to analyze data is a crucial skill to master. In the process, when we are processing data, we are sometimes faced with the choice of data transformation.

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Excel Tutorial for Statistics

Easy Guide to Finding the Standard Deviation of Research Variables in Excel

By Kanda Data / Date Oct 07.2023

Standard deviation is a statistical metric designed to measure the spread or variation of data within a research variable. You can determine how far each data point is from the average data in that variable through the standard deviation value.

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Nonparametric Statistics

How to Analyze Correlation and Interpret for Variables Measured Using the Likert Scale

By Kanda Data / Date Sep 30.2023

Researchers can choose correlation analysis to examine the relationship between variables. The selection of correlation analysis techniques depends on the scale of measurement used for the data. In statistics, the data measurement scale of a variable consists of nominal, ordinal, interval, and ratio scales.

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Econometrics

How to Interpret the Coefficient of Determination (R-squared) in Linear Regression Analysis

By Kanda Data / Date Sep 28.2023

The coefficient of determination (R-squared) is a statistical metric used in linear regression analysis to measure how well independent variables explain the dependent variable. It indicates the quality of the linear regression model created in a research study.

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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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Econometrics

Assumptions Required in Multiple Linear Regression Analysis Using Ordinary Least Squares (OLS) Method

By Kanda Data / Date Sep 26.2023

Multiple linear regression with the Ordinary Least Squares (OLS) method is one of the statistical techniques used to assess the influence of two or more independent variables on a dependent variable. The OLS method is carried out by minimizing the sum of squared errors between the model’s predictions and the actual values of the dependent variable.

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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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