Understanding Control Group and Its Utility
Comparative experiments usually have a sample group experiment and control group. Comparative experimental analysis requires control group understanding.
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Triangulation: The Key to Validating Data Analysis Findings
Triangulation is a powerful research method used to validate and strengthen research findings, using multiple techniques to investigate a research question.
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Pie Chart: A Revolutionizing Data Visualization Tool
Graphs and charts help us make educated decisions and solve problems when data is presented clearly and concisely. The pie chart is one example.
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Theory of Change: The Importance of Planning for Success
Theory of Change (ToC) is a powerful tool that helps organizations and individuals understand how their efforts can lead to a desired outcome.
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Cost-Benefit Analysis to Optimize Business Decision-Making
Cost-benefit analysis is a technique that is an indispensable business analytics tool based on a data-heavy research model.
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Measures of Central Tendency: Exploring Mean, Median & Mode
When you have a data set, it's important to understand what it represents and how it behaves by looking at the measures of central tendency.
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Word Clouds and Qualitative Data Analysis
With the amount of data available today, finding tools that help organize the data is crucial, one of them being word clouds.
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Guarantee Fund as an enabler for new-age agriculture enterprises
The need for resilient agricultural ecosystems and enhanced farmer livelihoods is more important than ever as the world begins to recover from the disruptive effects of the COVID-19 outbreak.
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Key Insights: From Numbers to Narrative – Telling a Compelling Data Story
Data is powerful. Data without insight, however, is meaningless.
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