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take into account any additional data that was acquired along with
               the core data during the interpretation stage. These supplemental
               details frequently include crucial insights into comprehending the
               issue under investigation.
                  b. Consultation  with experts-  Before  settling  on  an
               interpretation,  it  is strongly  advised  to  seek the  advice  and        ◆ Engaging expert
               knowledge  of  an  authority  in  the  field.  The  correctness  of        input
               interpretations can be substantially improved by consulting with
               individuals who have deep insights, are regarded for their honesty,
               and are prepared to point out any errors in logical thinking. Their
               insightful comments and helpful criticism can help to sharpen the
               interpretation and ultimately increase the usefulness of the study
               report.
                  c.  Avoid false  generalisations- Researchers  should also
               proceed with caution and diligence by considering all pertinent
               elements that might have an impact on the issue before beginning            ◆ Prudent
               the interpretive process. In this stage, haste can result in inaccurate    interpretation
               judgements  and erroneous generalisations.  Initial  impressions
               might  be  deceiving;  thus, it  is imperative  to  carefully  assess
               the facts and conclusions. Researchers can provide more robust
               and credible  interpretations  that  contribute  to the  development
               of knowledge in their field by taking into account all pertinent
               elements and undertaking a thorough study.


                        Summarised Overview




                     Statistics involves data collection, interpretation and validation. Statistical analysis is
                   the technique of performing several statistical operations to quantify the data and apply
                   statistical analysis. This unit dealt with the two types of statistical analysis namely,
                   Descriptive statistics and Inferential statistics. Descriptive statistics helps to describe,
                   show or summarise data points in a constructive way making you ready for conducting
                   further statistical analyses. Inferential statistics draws conclusions from the findings
                   of the study. Based on the analysis conducted, interpretations are generated. Then the
                   researcher has to present the study’s findings in the form of a report.























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