Statistical analysis is a crucial component of data-driven decision-making, employing mathematical techniques to draw meaningful insights from raw data. It involves collecting, processing, and interpreting information to identify patterns, trends, and relationships within a dataset. Descriptive statistics summarize and present data in a meaningful way, while inferential statistics make predictions or inferences about a population based on a sample. Hypothesis testing assesses the significance of observed differences or associations. Central to statistical analysis is the use of measures like mean, median, and mode to describe central tendencies, and standard deviation to gauge data dispersion. Regression analysis examines the relationship between variables, while correlation measures the strength of their association. Statistical software, such as R or Python with libraries like pandas and numpy, facilitates efficient analysis. In experimental research, statistical methods help validate or reject hypotheses, ensuring robustness and reliability. Confidence intervals provide a range of values within which a parameter is likely to lie, offering a measure of uncertainty. The p-value assesses the evidence against a null hypothesis, with a lower value indicating stronger evidence. Bayesian statistics incorporates prior knowledge to update beliefs based on new data, adding a dynamic dimension to analysis. Big data analytics increasingly relies on advanced statistical techniques to derive actionable insights from massive datasets. Overall, statistical analysis is an indispensable tool for researchers, businesses, and policymakers, enabling informed decision-making and driving progress across various fields.
Title : The impact of AI on the future of public health and preventative healthcare
David John Wortley, International Society of Digital Medicine (ISDM), United Kingdom
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model to secure the human healthcare, wellness and biosafety through the view of public health, network-driven healthcare services and lifestyle management
Sergey Suchkov, National Center for Human Photosynthesis, Mexico
Title : Managing integration and interoperability of intelligent and ethical transformed health and social care ecosystems
Habil Bernd Blobel, University of Regensburg, Germany
Title : Study scalp electroacupuncture therapy for autism spectrum disorder
Zhenhuan Liu, University of Chinese Medicine, China
Title : Environmental Public Health Impact Assessment (EHIA) process for tobacco processing plants
Vijayan Gurumurthy Iyer, Techno-Economic- Environmental Study and Check Consultancy Services, India
Title : Therapeutic potential of Benincasa hispida extract in regulating metabolic markers among patients with type 2 diabetes
Wan Rosli Wan Ishak , University Science Malaysia, Malaysia