TAILIEUCHUNG - Lecture General mathematics: Lecture 28 - Ms. Fehmida Haroon

Rectilinear motion is a motion along a straight line, and can therefore be described mathematically using only one spatial dimension. The rectilinear motion can be of two types: uniform linear motion with constant velocity or zero acceleration; non uniform linear motion with variable velocity or non-zero acceleration. In this chapter introduce the rates of change and rectilinear motion, inviting you refer. | General Mathematics ADE 101 Unit 4 LECTURE No. 28 COLLECTION AND ORGANIZATION OF DATA 1 Today’s Objectives Objectives of this Lesson: Define what data means Distinguish quantitative from qualitative data, primary from secondary data Describe the different techniques in collecting quantitative data with the use of interview, administration of questionnaires, testing, and use of service statistics Prepare a questionnaire/interview schedule Knowledge Test How Important it is? Data collection is an extremely important part of any research because the conclusions of a study are based on what the data reveal. There are several ways of collecting data. The choice of procedures usually depends on the objectives and design of the study and the availability of time, money and personnel. What are data? The term data refers to any kind of information researchers obtain on the subjects, respondents or participants of the study. In research, data are collected and used to answer the research questions or objectives of the study. Examples of data Demographic information such as age, sex, household size, civil status or religion. Social and economic information such as educational attainment, health status, extent of participants in social organizations, occupation, income, housing condition and the like. Scores in exams, grades, etc. Types of Research Data Research data are generally classified either as quantitative or qualitative. Based on their source, data fall under two categories namely: A. Primary Secondary Quantitative Data Quantitative Data- are information which can be counted or expressed in numerical values. Ex: age, grades, income, test score, number of children, level of satisfaction, amount of sales, length of service, etc. Qualitative Data These are descriptive information which has no numerical values. Ex: attitude or perception towards something, process used in accomplishing an activity, a person’s experiences, one’s idea about certain concepts, situation, or .

• Toán học
• General mathematics
• Lecture General mathematics
• Geometric measurement
• Algebraic thinking
• Mathematical knowledge
• Constant functions
• Number pattern
• Cartesian coordinate system
• Liner equations
• Graph of liner equations
• Linear equation
• Natural numbers