What are the advanced techniques of statistical methods?
Advanced statistical techniques beyond the level of descriptive statistics are applied in the analysis of these data, for example, correlation and regression, analysis of variance, path analysis techniques for model identification and fit, confirmatory factor analysis and structural equation modelling..
What are the concepts of advanced statistics?
Advanced statistics can be defined as the use of statistical methods and concepts, such as probability distributions, hypothesis testing, regression analysis, etc., to analyze data and develop models that can make predictions, comparisons, and decisions..
What do you learn in advanced statistics?
You will learn to apply statistical tools correctly, interpret the findings appropriately and get an idea about the possibilities of analyzing research questions employing statistics..
What do you understand by statistical method in statistics?
Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing meaningful interpretation and reporting of the research findings.
The statistical analysis gives meaning to the meaningless numbers, thereby breathing life into a lifeless data..
What is the concept of advanced statistics?
Advanced statistics can be defined as the use of statistical methods and concepts, such as probability distributions, hypothesis testing, regression analysis, etc., to analyze data and develop models that can make predictions, comparisons, and decisions..
What is your understanding about advanced statistics?
Advanced statistical techniques beyond the level of descriptive statistics are applied in the analysis of these data, for example, correlation and regression, analysis of variance, path analysis techniques for model identification and fit, confirmatory factor analysis and structural equation modelling..
- Measuring variability is of great importance to advanced statistical analysis.
For example, sampling or statistical inference is essentially a problem in measuring variability.
A good measure of variation should possess, as far as possible, the same properties as those of a good measure of central tendency. - You will learn to apply statistical tools correctly, interpret the findings appropriately and get an idea about the possibilities of analyzing research questions employing statistics.