Concise Selina Solutions for Class 7 maths Chapter 21 Data Handling

Data handling is the process of ensuring that research data is stored, archived or disposed off safely and securely during and after the conclusion of a research project. It includes the development of policies and procedures to manage data handled electronically as well as through non-electronic means. Data handling is essential in ensuring the integrity of research data since it addresses concerns related to confidentially, security, and preservation/retention of research data. Proper planning for data handling can also result in efficient and economical storage, retrieval, and disposal of data. One or more outcomes of an experiment make an event. Example, getting a tail in tossing a coin is an event. Getting a number 1 or getting number 2 in a throw of dice is also the event. Data handling plays a vital role in mathematics education since it encompasses real-world situations and assists in developing critical thinking skills in learners. The findings indicate that participants used different pedagogic strategies when teaching data handling. Chapter 21 deals with tabulation of data, arithmetic or average mean, properties of mean, median, mode and bar graph.