Page 276 - Ai_417_V3.0_C9_Flipbook
P. 276

Methods of Data Interpretation


              Data interpretation is the process of making sense out of a collection of data that has been processed. This
              collection may be present in various forms like bar graphs, line charts and tabular forms and other similar forms.

              There are two ways to interpret data-
                                                                              Quantitative Data

                                     Data Interpretation                        Interpretation
                                          Methods
                                                                              Qualitative Data
                                                                                Interpretation


              Quantitative Data Interpretation
              It is the process of analysing and understanding quantitative or numeric data. This type of data often comes
              from surveys, experiments, and numerical measurements. Quantitative data provides statistical insights and
              helps  in  identifying  patterns  and  trends.  It  requires  statistical  methods  and  techniques  like  mean,  median,
              standard deviation, etc. to interpret the data. The interpretation of quantitative data focuses on measurable
              outcomes and numerical relationships. It helps us answer questions like "when," "how many," and "how often".

              For example, (how many) numbers of likes on the Instagram post.

              Data Collection Methods in Quantitative Data Interpretation

              Data  collection  methods  in  quantitative  data  interpretation  involve  systematic  techniques  like  surveys  and
              experiments to gather numerical data. These approaches ensure data accuracy, facilitating reliable analysis and
              inference across various fields such as social sciences and healthcare.

















              Following are some application areas of quantitative data interpretation:

              ●  Interviews: Quantitative interviews play a key role in collecting information.

              ●    Polls: A poll is a type of survey that asks simple questions to respondents. Polls are usually limited to one
                  question.
              ●  Observations: Quantitative data can be collected through observations in a particular time period.
              ●  Longitudinal studies: A type of study conducted over a long time.

              ●  Survey: Surveys can be conducted for a large number of people to collect quantitative data.






                    274     Touchpad Artificial Intelligence (Ver. 3.0)-IX
   271   272   273   274   275   276   277   278   279   280   281