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Research and Statistics Report- Estonio, Ryan.pptx
- 1. STATISTICAL TOOLS & TREATMENT Research and Statistics Ryan L. Estonio Master in Management PRESENTED BY
- 2. 1 What is Statistics? 2 Introduction of Statisctical Treatment 3 Introduction of Statistical Tools 4 How to determine accurate tools and treatment TOPICS
- 3. Back to Agenda 03 STATISTICS
- 4. Back to Agenda 04 STATISTICS IN RESEARCH • Statistics in research deals with basics in statistics that provides statistical randomness and law of using large samples. • It teaches how choosing a sample size from a random large pool of sample helps extrapolate statistical findings and reduce experimental bias and errors.
- 5. STATISTICAL TREATMENT Statistical treatment of data is a process used to convert raw data into something interpretable.
- 6. • In its simplest form, statistical treatment of data is taking raw data and turning it into something that can be interpreted and used to make decisions. • This process is important for businesses because it allows them to take customer feedback and turn it into actionable insights. There are many different statistical data treatment methods, but the most common are surveys and polls. What exactly is Statistical Treament?
- 7. IMPORTANT STATISTICAL TOOLS IN RESEARCH Researchers in the biological field find statistical analysis in research as the scariest aspect of completing research. However, 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.
- 8. Back to Agenda 05 STATISCAL TREAMENT • Inferential Statisctics • Regression Analysis • Correlation Analysis • Factor Analysis
- 9. INFERENTIAL STATISTICS • Inferential statistics are used to make predictions or inferences about a population based on a sample. This is done by using estimation methods (point estimates and confidence intervals) and testing methods (hypothesis testing). Inferential statistics can be used to understand how likely it is that a particular population characteristic is true. • For example, inferential statistics can be used to calculate the probability that a customer will be satisfied with a product or service. • Once you have collected your data, the next step is to choose a statistical analysis method. The most common methods are regression, correlation, and factor analysis.
- 10. It is a method used to identify the relationships between different variables. For example, you could use regression analysis to understand how customer satisfaction ratings change based on the number of support tickets they open. Regression Analysis
- 11. Correlation analysis is a method used to understand how two variables relate. For example, you could use correlation analysis to understand how customer satisfaction ratings change based on the number of support tickets they open. Correlation analysis
- 12. Factor analysis is a method used to identify which variables impact a particular outcome most. For example, you could use factor analysis to determine which factors influence customer satisfaction ratings most. Once you have chosen a method of statistical treatment of data, the next step is to apply it to your dataset. This step can be done using Excel or another similar program. Once you have applied your chosen method, you can interpret the results and use them to make decisions about your business. Factor analysis
- 13. Statistical treatment of data for survey is a necessary process that allows businesses to take customer feedback and turn it into actionable insights. There are many different statistical data treatment methods, but the most common are surveys and polls.
- 14. STATISTICAL TOOLS WE ARE A COMMUNICATION AND INTERNET PROVIDER THAT HAS BEEN OPERATING FOR THE PAST 30 YEARS. THE EMERGENCE AND PROLIFERATION OF THE INTERNET HAS ENABLED US THE CHANCE TO PROGRESS AS A COMPANY OVER THE DECADES. CURRENTLY, WE OFFER THE BEST DEDICATED INTERNET SERVICES FOR INDIVIDUALS, HOUSES, BUSINESSES, AND OTHER INSTITUTIONS TO CONNECT THEM TO ADDRESS ALL OF THEIR NEEDS.
- 15. BASIC STATISTICAL TOOLS • The standard deviation, often represented with the Greek letter sigma, is the measure of a spread of data around the mean. A high standard deviation signifies that data is spread more widely from the mean, where a low standard deviation signals that more data align with the mean. • In a portfolio of data analysis methods, the standard deviation is useful for quickly determining dispersion of data points. • The arithmetic mean, more commonly known as ―the average, is the sum of a list of numbers divided by the number of items on the list. • The mean is useful in determining the overall trend of a data set or providing a rapid snapshot of your data. Another advantage of the mean is that it‘s very easy and quick to calculate. STANDARD DEVIATION MEAN
- 16. BASIC STATISTICAL TOOLS • When measuring a large data set or population, like a workforce, you don‘t always need to collect information from every member of that population – a sample does the job just as well. The trick is to determine the right size for a sample to be accurate. • Using proportion and standard deviation methods, you are able to accurately determine the right sample size you need to make your data collection statistically significant • Regression models the relationships between dependent and explanatory variables, which are usually charted on a scatterplot. The regression line also designates whether those relationships are strong or weak. • Regression is commonly taught in high school or college statistics courses with applications for science or business in determining trends over time SAMPLE SIZE DETERMINATION REGRESSION
- 17. • ALSO COMMONLY CALLED T TESTING, HYPOTHESIS TESTING ASSESSES IF A CERTAIN PREMISE IS ACTUALLY TRUE FOR YOUR DATA SET OR POPULATION. • IN DATA ANALYSIS AND STATISTICS, YOU CONSIDER THE RESULT OF A HYPOTHESIS TEST STATISTICALLY SIGNIFICANT 2 IF THE RESULTS COULDN‘T HAVE HAPPENED BY RANDOM CHANCE. HYPHOTHESIS TESTING
- 18. It is a widely used software package for human behavior research. SPSS can compile descriptive statistics, as well as graphical depictions of result. STATISTICAL PACKAGE FOR SOCIAL SCIENCE (SPSS) 1 This software package is used among human behavior research and other fields. R is a powerful tool and has a steep learning curve. However, it requires a certain level of coding. Furthermore, it comes with an active community that is engaged in building and enhancing the software and the associated plugins. 2 R FOUNDATION FOR STATISTICAL COMPUTING 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. While MatLab can be a difficult tool to use for novices, it offers flexibility in terms of what the researcher needs. 3 MATLAB (THE MATHWORKS)
- 19. 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. MS Excel is the most accessible option for those wanting to start with statistics. MICROSOFT EXCEL 4 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. 5 STATISTICAL ANALYSIS SOFTWARE (SAS) It is a premium software that is primarily used among biology researchers. But, it offers a range of variety to be used in various other fields. Similar to SPSS, GraphPad gives scripting option to automate analyses to carry out complex statistical calculations. 6 GRAPHPAD PRISM
- 20. USE OF STATISTICAL TOOLS IN RESEARCH AND DATA ANALYSIS 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.
- 21. 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. CONCLUSION
- 22. Conduct a thorough literature review: Before starting a research project, it is important to conduct a comprehensive review of the literature to identify the most effective tools and treatments that have been used in previous studies. This will help to establish a baseline of knowledge and inform the selection of appropriate tools and treatments for the research project. 01 Consult with experts: Consultation with experts in the field can provide valuable insights into the most effective tools and treatments for a particular research question. This can include clinicians, researchers, and other professionals who have expertise in the area of interest. 03 Consider the study design: The study design will play a critical role in determining the appropriate tools and treatments for the research project. For example, if the study is a randomized controlled trial, the tools and treatments should be carefully chosen to ensure that they are suitable for the study population and that they are administered in a standardized manner. 02 Pilot testing: Before using tools and treatments in a research project, it is often beneficial to conduct pilot testing to evaluate their feasibility and effectiveness. This can help to identify any potential problems or limitations before the study begins. 04 Determining accurate tools and treatments in research requires a systematic and evidence- based approach.
- 23. Pilot testing: Before using tools and treatments in a research project, it is often beneficial to conduct pilot testing to evaluate their feasibility and effectiveness. This can help to identify any potential problems or limitations before the study begins. 05 Analyze the data: Once the data has been collected, it is important to analyze it carefully to determine the effectiveness of the tools and treatments that were used. This will help to establish whether the results are reliable and valid. 06 Determining accurate tools and treatments in research requires a systematic and evidence- based approach.
- 24. Thank You Ryan L. Estonio Master in Management PRESENTED BY