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 concerned with how data is inputted, stored and output in computer systems. It didn't take long from when computers were invented for businesses and organizations to appreciate the potential benefits that ICT could bring to a business.
Data handling plays an essential role in mathematics education since it encompasses real-world situations and assists in developing critical thinking skills in learners. Data handling is important 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.
Statistics is an advantageous subject that is originated from mathematics. Its study is started in middle school and becomes a separate subject in higher-level mathematics. Statistics is a systematic study of collection, organization and analysis of data for a research or a survey. It is quite helpful in the forecast and prediction of various results from the well-organized data.
Chapter 19 provides information based on the data in the form of a frequency distribution table, pie chart and bar graph to represent the given set of data.