Statistical Data Analysis Services

Survey sampling is a crucial step in the survey data collection process, especially when it comes to effective data analytics. It involves selecting a subset of individuals from a larger population to participate in the survey. The goal is to ensure that the sample accurately represents the broader population, allowing researchers to draw valid conclusions. Understanding the different sampling techniques and their appropriate use is essential for conducting reliable and effective surveys. In this blog, we will explore various survey sampling techniques, their advantages, and their application 1. Probability Sampling Probability sampling methods are based on the principle that every member of the population has a known and non-zero chance of being selected. These techniques are ideal for ensuring representativeness and minimizing bias, which is crucial for accurate data analytics. a. Simple Random Sampling Simple random sampling is the most straightforward probability sampling method....

Big Data And Artificial Intelligence In Drug Discovery Drug discovery is a time consuming and multifaceted journey, with extraordinary insecurity that a drug can succeed. In drug development, the evolution of Big Data and Artificial Intelligence (AI) methodology has revolutionized the methods to block long-standing challenges. In Brief: The integration of big data and AI is making a significant difference in the discovery of a targeted drug. An overview of the currently available advanced methods for drug discovery using Big Data and AI and essential aspects of exploiting varieties of databases for drug discovery. Big Data In Drug Discovery Data can be cast-off as a tool to recognize formerly undiagnosed patients, even before their indicators are evident. By the use of algorithms and data mining , the research identifies high-risk entities, especially for less noticeable disease symptoms. Data mining is also the least hostile way to govern a diagnosis. The chal...

Factor Analysis The analysis of variance is not a mathematical theorem, but rather a convenient method of arranging the arithmetic.- Ronald Fisher The inexpensive Factor Analysis is a prominent statistical tool to identify a lot of underlying dormant factors. For more than a century it is used in psychology and also in a wide variety of situations. Factor analysis explains correlations among multiple outcomes as a result of one or more factors.   As it attempts to represent a set of variables by a smaller number, it involves data reduction.   It explores unexplained factors that represent underlying concepts that cannot be adequately measured by a single variable.   It is most popular nowadays in survey research where the responses to each question represent an outcome.   It is because multiple questions are often related and the underlying factor may influence the subject responses. The reduction technique of factor analysis in reducing a large number of...