The stage “analysis of data” is usually done in the following steps:
- Arrange the data in a comprehensive manner, such as, in a frequency distribution table.
- Display the data using suitable graphs.
- Find the descriptive statistics to statistically describe the collected data.
- Use the relevant descriptive statistics to estimate the necessary population parameters.
- Perform suitable hypothesis tests by using the estimated values, to form conclusions about relevant population.
- Apparently, the statistical analysis for the available data ends here.
However, the process should not stop here.
Once a set of estimates for the population parameters of interest are found and suitable conclusions about such parameters are formed, it is necessary to conduct the study with other datasets in order to verify the conclusions and to ensure that they are truly likely to be valid for the population of interest.
Thus, the process of statistical analysis temporarily stops at the end of the analysis and inference, till more data can be collected to validate the conclusions of the analysis.