Statistical Software

• •A statistical software is a specialized computer program used for the statistical analysis of the collection, organization, analysis, interpretation, and presentation of data.
• •Different types of Statistical Softwares STATA Microsoft Excel MATLAB (The MathWorks) Minitab NumPy SAS (Statistical Analysis Software) SPSS Statistics GraphPad Prism
• •STATA is a statistical software that enables users to analyze, manage, and produce graphical visualization. It is primarily used by researchers in the fields of economics, biomedicine, and political science to examine data patterns. It can also be used to perform complex calculations.
• •Microsoft Excel, arguably the most well-known statistical software. It is a computer program created by Microsoft which uses spreadsheets to organize numbers and data with formulas and functions. Commonly used by businesses to perform financial analysis.
• •Microsoft Excel is developed by a team of Microsoft Engineers led by Charles Simonyi on September 30,1985.
• •MATLAB (The MathWorks), is an analytical platform and programming language that is widely used by scientists and engineers. It will eventually require you to make a code as it is needed to complete tasks. It can be difficult for novices but it offers a massive amount of flexibility in terms of what you want to do as long as you are able to code it.
• •MATLAB was developed by: Cleve Moler in December, 1984.
• •Minitab is a data analysis software package that is usually for data analysis. It is widely used in a variety of industries including, healthcare, manufacturing, and education. It provides users to perform statistical analysis,including hypothesis testing, regression analysis, and ANOVA. Additionally, it provides various graphical tools to help visualize data, this includes charts, tables, and other graphical illustrations. It is used by quality engineers and statisticians to solve real-world problems.
• •Minitab is developed by: Barbara Ryan, Thomas Ryan, Jr. and Brian Joiner in 1972.
• •NumPy, which stands for Numerical Phyton is a built-in Phyton library for descriptive statistics. It provides fast array operations and mathematical functions for manipulating large datasets.
• •NumPy is developed by: Travis Oliphant in 2005.
• •SAS (Statistical Analysis Software), was released in 1972 by Anthony Bar and James Goodnight. It is a statistical analysis platform that offers an option to use either GUI to create scripts or to create scripts for more advanced analyses. It is a premium solution that is widely used in business, healthcare, and human behavior, research alike. Possible to carry out advanced analyses and produce publication-worthy graphs and charts, although the coding can also be a difficult adjustment for those not used in this approach.
• •SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. It offers the ability to compile descriptive statistics, parametric and non-parametric analyses, as well as graphical depictions of results through the graphical user interface (GUI). Include the option to create scripts to automate analysis, or to carry out more advanced statistical processing.
• •SPSS Statistics is developed by: Norman Nie, Dale Bent, and Hadlai Hull in 1968
• •GraphPad Prism, premium software is primarily used within analyses, or carries out more complex statistical calculations, but the majority of the works can be completed through the GUI (Graphic User Interface).
• •Significance of Statistical Softwares in Data Analysis Efficiency

  Analysis

  Large Dataset Handling

  Visualization

  Reproducibility

  Interdisciplinary Use

  Decision Support

  Educational Tool
• •Efficiency: Statistical software automates data processing tasks, saving time and reducing the potential for human error in calculations and analyses.
• •Analysis: These tools offer a wide range of statistical techniques, from basic descriptive statistics to advanced methods like regression analysis, hypothesis testing, and machine learning algorithms.
• •Large Dataset Handling: Statistical software can handle large datasets with ease, enabling analysts to work with big data and extract meaningful insights efficiently
• •Visualization: They provide tools for visualizing data through charts, graphs, and plots, making it easier to understand complex patterns and relationships within the data.
• •Reproducibility: Statistical software allows analyses to be documented and reproduced, enhancing the transparency and reproducibility of research findings.
• •Interdisciplinary Use: Statistical software is used across various disciplines, including science, engineering, finance, healthcare, marketing, and social sciences, demonstrating its versatility and applicability.
• •Decision Support: By providing evidence-based insights, statistical software helps decision-makers make informed decisions and develop strategies based on data-driven analysis.
• •Educational Tool: Statistical software is also used in educational settings to teach statistical concepts and methods, helping students develop analytical skills and understand real-world applications of statistics.