ENDA0503 Classification of Data PDF

Chapter 1 CLASSIFICATION OF DATA ENDA0503 After careful study of this chapter, the students will be able to: To recognize and differentiate between data according to its nature, sources, and arrangement. To identify the level of measurement of the data. ...

Chapter 1 CLASSIFICATION OF DATA ENDA0503 After careful study of this chapter, the students will be able to: To recognize and differentiate between data according to its nature, sources, and arrangement. To identify the level of measurement of the data.  INTRODUCTION Statistics is the science that involves collection, organization and presentation, analysis and interpretation of information that is observable for each and every individual of entity under study, so that meaningful conclusion can be drawn.  Field of Statistics 1.Descriptive Statistics - a group of statistical measurements that aims to organize and summarize data. Summarizing data is can be done by either presenting it using tables and graphs or using numerical descriptive measures such as its location, center and spread. 2.Inferential Statistics - aims to infer or to make interpretations by making a concluding statement about the population based on the result derived from a data set. It involves probability to be more confident in making conclusion.  Essential Processes in Statistics 01 02 03 04 Gathering of Organization and Analysis of Interpretation related presentation of Data of Data information data Extracting relevant Drawing a logical The following This is done in information from statement from systematic way the data at hand. questions are This involves: the analyzed addressed: and involves: information. a. Comparison and a. What is useful and a. Collecting contrast a. Generalizing b. Classifying and b. Description needed? b. Forecasting arraying c. Statistical b. Where to get measurements to c. Recommending information? c. Presenting data Solutions and come up with c. How to get gathered in numerical values interventions preparation to its and qualitative information? about the analysis summary as a resulting conclusion study 1.According to Nature a. Quantitative or numerical data – Types of Quantitative Data i. Discrete Data - Examples ii. Continuous Data - Examples: 1.According to Nature b. Qualitative or categorical data – Examples 2.According to Source a. Primary Source – Examples b. Secondary Source – Examples: 3.According to Arrangement a. Ungrouped data – b. Grouped data – 1. Nominal – Examples 2. Ordinal – Examples: 3. Interval – Examples: 3. Ratio – Examples:  Activity No. 1 Instructions: SURNAME. FIRST NAME MIDDLE INITIAL SIGNATURE ENDA0503 PROGRAM YR & SECTION ACTIVITY NO. 1 Activity No. 1 Activity No. 1 Activity No. 1