Statistical Analysis

Parametric and Non-Parametric Tests in Statistics

Parametric and Non-Parametric Tests in Statistics

Understanding the difference between parametric and non-parametric tests is essential for data analysts and researchers. These tests are important implements used to analyze and interpret data to reach out to valid conclusions. At Statistics Solutions, we provide access to various online video courses and eBooks on research methods and statistics, including our widespread data analyst course […]

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A Step-by-Step approach to Conducting a Research Study: Mastering Research and Methodology

For valid and reliable conclusion, a research study needs to be conducted in a structured and systematic way. Therefore, understanding various research methods is essential. In this blog, we will discuss key steps in conducting a research study while exploring important types such as qualitative research methods, quantitative research methods, and business research methods. Step

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Correlation Analysis: A Crucial Expertise for Data Analysts and Researchers

In today’s evidence based era, knowing correlation and analysis is important for every ambitious data analyst and researcher. Either correlating variables in clinical studies or working on IBM SPSS Statistics software, learning correlation analysis is vital. Through this article, we explain the basic notions of correlation analysis, including Pearson correlation, Spearman’s correlation, and correlation regression

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Unlocking Statistical Analysis Secrets

Unlocking the Power of Statistical Analysis: Understanding Tests of Significance – Chi-Square Test, ANOVA, and More

As a researcher or data analyst, one is acquainted with the significance of statistical analysis. One important facet of statistical analysis is tests of significance, which help determine whether observed effects or relationships are statistically significant. These tests determine if the difference between the groups is by chance or is there a real difference between

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