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Home/Archive for: September 2022

Month: September 2022

Statistics

How to Distinguish 0.01, 0.05, and 0.10 Significance Levels in Statistics

By Kanda Data / Date Sep 28.2022

A researcher in planning research will develop a hypothesis from the research that will be conducted. The hypothesis is created as a proposition about the population parameters to be tested statistically through samples taken from the population.

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Research Methodology

How to Select Random Sample using Data Analysis in Excel

By Kanda Data / Date Sep 25.2022

The sample is part of the population, including the number and characteristics of the population. In large populations, researchers may not observe all of these populations due to limited funds, labour, and time. Sampling is one solution in research where research results can still represent the characteristics of the observed population.

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Research Methodology

How to determine the minimum sample size to be representative

By Kanda Data / Date Sep 22.2022

Based on the type, research can be divided into survey research and experimental research. In survey research, we generally collect primary data from a population. Researchers can take population data or samples from the population in the study.

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Econometrics

How to Calculate Price Elasticity from Linear Regression Equation

By Kanda Data / Date Sep 13.2022

Researchers and practitioners often calculate elasticity to see the response of a variable due to changes in other variables. The measure of the degree of response or the degree of sensitivity is called elasticity. The elasticity value is often used to predict changes in demand or supply of an item due to changes in the factors that influence it.

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Excel Tutorial for Statistics

Quantitative data analysis using data analysis toolpak in Excel

By Kanda Data / Date Sep 08.2022

Researchers very well know Excel to help research data analysis. So far, excel is mainly used to input data and then present the data in a more informative display. Excel is generally used more for descriptive statistical analysis, creating tables of research results, and creating graphs.

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Multiple Linear Regression

Multiple Linear Regression Analysis for Time Series Data in Excel

By Kanda Data / Date Sep 02.2022

The selection of data analysis methods is important in determining the study’s results. Data analysis methods not following statistical theory and scientific principles can potentially cause errors in making research conclusions. The research hypotheses prepared at the beginning of the proposal need to be tested statistically so that the correct findings can be obtained. Therefore, a basic understanding of statistics needs to be understood by those conducting research activities.

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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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September 2022
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  • How to Create a Research Location Map in Excel: District, Province, and Country Maps
  • How to Determine the Minimum Sample Size in Survey Research to Ensure Representativeness
  • Regression Analysis for Binary Categorical Dependent Variables
  • How to Sort Values from Highest to Lowest in Excel
  • How to Perform Descriptive Statistics in Excel in Under 1 Minute
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