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2.  What is prescriptive learning?
                   Ans.  Prescriptive learning refers to an educational approach that focuses on guiding students towards specific outcomes or
                       behaviors through structured instruction and targeted interventions based on data and analysis of their learning needs.
                    3.  What is data acquisition? Give an example.
                   Ans.  Data acquisition, also known as acquiring data, refers to the procedure of gathering data like raw facts, figures or
                       statistics from relevant sources either for reference or for analysis as needed in AI projects. For example: collection of
                       data to predict the topper of the school in the upcoming board examination.
                    4.  Name the sources of data acquisition.
                   Ans.  Sources for acquiring data can be primary or secondary.
                    5.  What do you mean by Independent variables?
                   Ans.  Independent variables (sometimes called predictor variables) are those that are used to generate predictions about or
                       to account for the variation in the dependent variable (the goal).
                    6.  What role does Tableau play in data presentation?

                   Ans.  Tableau is a powerful tool for visualising and analysing data, aiding in business decisions by creating various charts,
                       graphs, maps, and dashboards.

                    7.  Why is it important to choose the appropriate measurement scale for data analysis?
                   Ans.  Choosing the correct scale ensures accurate measurement and representation of data, leading to valid analysis results.
                    8.  Describe a scenario where identifying needs through data interpretation can lead to reduced costs.
                   Ans.  A restaurant owner could use customer feedback data to modify or remove unpopular dishes from the menu, reducing
                       waste and costs.
                    9.  What are some common features of bar graph and line graph?
                   Ans.  Both graph types represent data visually, with bar graphs using bars and line graphs using points connected by lines to
                       show changes over time.

                    10.  Give an example of a situation where record keeping would be a useful data collection method.
                   Ans.  Using library documents as reliable and curated sources of information for data collection.

                 B.  Long answer type questions:
                    1.  Give the impacts of data literacy in education and business?
                   Ans.  Data literacy has an immense impact on various aspects of society like business, education, healthcare, and public
                       policy, some of them are given here:
                       •   Business: It improves the decision making skills of a person. Data-literate employees can effectively analyse data to
                         gain insights into market trends, customer behaviours, and operational performance.
                       •   Education: It empowers the teaching-learning process. Students can engage more deeply with course material,
                         particularly in STEM fields.
                    2.  List down the ways that will help you to become data literate.
                   Ans.  Here is a guide to help you become data literate:
                       •  Understand the Basics: Start from learning the concepts of data, types of data, and how it can be used.
                       •   Learn Data Analysis Tools: There are many data analysis apps available, that can be learned in order to understand
                         the impact of right data.
                       •   Gain Statistical Knowledge: Statistics play a vital role in data literacy. Its one of the vital components that must be
                         learned before you dive into the data driven world.
                       •   Use Data Visualisation: Understand the techniques of data visualisation such as Graphics and Charts. Tools like
                         Tableau, matplotlib, python can be used effectively for this purpose.


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