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Tag: statistics

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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Statistics

How to use data transformation to address issues with non-normally distributed data

By Kanda Data / Date Mar 19.2023

Some quantitative analyzes of parametric statistics require the assumption of normally distributed data. For example, when researchers want to test differences in paired samples using the t-test, researchers need to test the normality of the data.

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Statistics

How to Determine T-table and F-table in the linear regression analysis using Excel

By Kanda Data / Date Mar 12.2023

Statistical hypothesis testing is an important stage in research activities. Based on the data that has been collected according to the research method used, the next researcher analyzes the data.

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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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Comparison Test

How to test homogeneity of variance in one-way ANOVA

By Kanda Data / Date Feb 26.2023

The homogeneity test is one of the prerequisite assumptions in the one-way ANOVA test. Researchers can use one-way ANOVA to test comparative differences in the mean of more than two data groups.

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Multiple Linear Regression

How to Perform Multiple Linear Regression using Data Analysis in Excel

By Kanda Data / Date Feb 19.2023

Researchers have widely used linear regression analysis to analyze a phenomenon. The regression analysis is intended to determine the effect of independent variables on the dependent variable. Researchers use linear regression analysis, and practitioners in the industry also often use linear regression analysis. The output of linear regression analysis can be used for consideration in making business decisions in a company.

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Statistics

How to Find P-Value and T-Distribution Table using Excel

By Kanda Data / Date Feb 11.2023

Testing the research hypothesis is an important step that needs to be understood by researchers. Each research objective can be answered through statistical analysis according to the researcher’s chosen analytical method. Therefore, researchers must conduct statistical hypothesis testing properly and correctly.

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Excel Tutorial for Statistics

How to Analyze Descriptive Statistics using Data Analysis Tool in Excel

By Kanda Data / Date Feb 04.2023

Descriptive statistical analysis is very important in supporting the main data analysis. Researchers can elaborate more deeply on each observed variable through descriptive statistical analysis. In general, analysis statistics can be divided into descriptive statistical analysis and inferential statistical 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
  • Simple Linear Regression
  • Statistics

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