Role of Statistics In Research.pptx
- 1. Role of Statistics In Research Dipsanu Paul | M.sc Zoology | Royal Global University,Guwahati
- 2. Introduction ā¢ Statistical methods are essential for scientific research, ā¢ Statistical methods dominate the scientific research as they include planning, collecting data, analyzing, drawing meaningful interpretation and reporting of ā¢ The results acquired from research project are meaningless raw data unless statistical tools. Therefore, determining statistics in research is of utmost research findings, āIf your experiment needs statistics,you ought to have done a better Rutherford.
- 3. Role of statistics in biological research ā¢ Establishing a Sample Size :- Usually, a biological experiment starts with choosing samples and selecting the right number of repetitive experiments. Statistics in research deals with basics in statistics that provides statistical randomness and law of using large samples. ā¢ Testing of Hypothesis :- When conducting a statistical study with large sample pool, biological researchers must make sure that a conclusion is statistically significant. To achieve this, a researcher must create a hypothesis before examining the distribution of data. ā¢ Data Interpretation Through Analysis :-. When dealing with large data, statistics in research assist in data analysis. This helps researchers to draw an effective conclusion from their experiment and observations.
- 4. Types of Statistical Research Methods That Aid in Data Analysis
- 5. Types of Statistical Research Methods That Aid in Data Analysis ā¢ Descriptive Analysis :- The descriptive statistical analysis allows organizing and summarizing the large data into graphs and tables. Descriptive analy--sis involves various processes such as tabulation, measure of central tendency etc. ā¢ Inferential Analysis :- The inferential statistical analysis allows to extrapolate the data acquired from a small sample size to the complete population. This analysis helps draw conclusions and make decisions about the whole population on the basis of sample data. ā¢ Predictive Analysis :- Predictive analysis is used to make a prediction of future events.This analysis is approached by marketing companies, insurance organizations etc. ā¢ Prescriptive Analysis :- Prescriptive analysis examines data to find out what can be done next. It is widely used in business analysis for finding out the best possible outcome for a situation.
- 6. Types of Statistical Research Methods That Aid in Data Analysis ā¢ Exploratory Data Analysis :- EDA is generally the first step of the data analysis process that is conducted before performing any other statistical analysis technique. It completely focuses on analyzing patterns in the data to recognize potential relationships. ā¢ Causal Analysis :- Causal analysis assists in understanding and determining the reasons behind āwhyā things happen in a certain way, as they appear. ā¢ Mechanistic Analysis :- This is a least common type of statistical analysis. The mechanistic analysis is used in the process of big data analytics and biological science.
- 7. Important biological tools for research Statistical tools in research can help researchers understand what to do with data and how to interpret the results, making this process as easy as possible. ā¢ Statistical Package for Social Science (SPSS) :- It is a widely used software package for human behavior research. SPSS can compile descriptive statistics, as well as graphical depictions of result. ā¢ R Foundation for Statistical Computing :- This software package is used among human behavior research and other fields. R is a powerful tool and has a steep learning curve. ā¢ MATLAB (The Mathworks) :- It is an analytical platform and a programming language. Researchers and engineers use this software and create their own code and help answer their research question.
- 8. Important biological tools for research ā¢ Statistical Analysis Software (SAS) :- It is a statistical platform used in business, healthcare, and human behavior research alike. It can carry out advanced analyzes and produce publication-worthy figures, tables and charts. ā¢ Microsoft Excel :- Not the best solution for statistical analysis in research, but MS Excel offers wide variety of tools for data visualization and simple statistics. It is easy to generate summary and customizable graphs and figures. ā¢ Minitab :- This software offers basic as well as advanced statistical tools for data analysis. However, similar to GraphPad and SPSS, minitab needs command over coding and can offer automated analyses.
- 9. Use of Statistical Tools In Research and Data Analysis ā¢ Statistical tools manage the large data. Many biological studies use large data to analyze the trends and patterns in studies. Therefore, using statistical tools becomes essential, as they manage the large data sets, making data processing more convenient. ā¢ Following these steps will help biological researchers to showcase the statistics in research in detail, and develop accurate hypothesis and use correct tools for it. tools for it.
- 10. Conclusion ā¢ There are a range of statistical tools in research which can help researchers manage their research data and improve the outcome of their research by better interpretation of data. You could use statistics in research by understanding the research question, knowledge of statistics and your personal experience in coding.
- 11. Thank You