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Jan 28, 2020 · You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results. What is the difference between discrete and continuous variables?
This article is a practical introduction to statistical analysis for students and researchers. We’ll walk you through the steps using two research examples. The first investigates a potential cause-and-effect relationship, while the second investigates a potential correlation between variables.
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Oct 30, 2024 · These quantitative statistical methods show representations of what a set of data represents. Graphs and charts help visualize the findings of these methods. Some important beginner descriptive statistical analysis methods to know are: Central tendency (mean, median, mode) Variance. Standard deviation.
Oct 24, 2024 · Understanding which data you need to analyze and which results you want to see can help you choose the right method. With a comprehensive approach to analytics, you can maximize the benefits of insights and streamline decision-making.
Oct 7, 2024 · This article provides a visual, interpretable guide supported by real-world examples to help you choose the right statistical test depending on the nature and assumptions of your data, and the type of test or analytical task to perform.
Statistical methods for data analysis are the tools and techniques used to collect, analyze, interpret, and present data in a meaningful way. From businesses optimizing operations to researchers uncovering new discoveries, these methods are foundational to making informed decisions based on data.
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Jul 18, 2024 · Explore five key statistical analysis methods to enhance your research, from mean calculations to regression analysis and hypothesis testing.
