Chapter 2 Organization And Presentation Of Data Learning Outcomes Data presentation frequency distributions tables. definitions. raw data: unprocessed data ie data in its original form. frequency distribution: the organization of raw data in table form with classes and frequencies. rather it’s a list of values and the number of times they appear in the data set. Chapter 2 methods of data collection and presentation. data measured or collected by the investigator or the user directly from the source. primary sources are sources that can supply rst hand information for immediate user. when an investigator uses data, which have already been collected by others, such data are called secondary data.
Chapter 2 Presentation Analysis And Interpretation Of Data Pdf This document discusses how to organize and summarize statistical data for presentation through classification, tabulation, graphs, and diagrams. it explains the processes of classifying data into categories, tabulating data by arranging it in tables with rows and columns, and constructing frequency distributions to compactly display data. 2 diagrammatic and graphic presentation of data. these are techniques for presenting data in visual displays using geometric and pictures. importance: they have greater attraction. they facilitate comparison. they are easily understandable. diagrams are appropriate for presenting discrete data. Data can be presented in textual form. textual presentation of data means presenting data in the form of words, sentences, and paragraphs. it allows a researcher to present qualitative data that cannot be presented in graphical or tabular form. another method of data classification is tabulation of data. it is way to. Interpretation of the data were taken from the 100 respondents of the customers in a food stores in a mall. this also includes the narrative presentation to find the customers level of satisfaction regarding the foods, services, and cleanliness.
Pdf Chapter 1 Data Presentation Data can be presented in textual form. textual presentation of data means presenting data in the form of words, sentences, and paragraphs. it allows a researcher to present qualitative data that cannot be presented in graphical or tabular form. another method of data classification is tabulation of data. it is way to. Interpretation of the data were taken from the 100 respondents of the customers in a food stores in a mall. this also includes the narrative presentation to find the customers level of satisfaction regarding the foods, services, and cleanliness. 2.1 introduction the collection, organization, and presentation of data are basic background mate rial for learning descriptive and inferential statistics and their applications. in this chapter, we first discuss sources of data and methods of collecting them. then we explore in detail the presentation of data in tables and graphs. finally, we. This chapter discusses the presentation, analysis, and interpretation of data in quantitative research. it is divided into descriptive data analysis and inferential data analysis. the interpretation is presented both textually and in tables or graphs. 3 focus points organize raw data using a frequency table. construct histograms, relative frequency histograms, and ogives. recognize basic distribution shapes: uniform, symmetric, skewed, and bimodal. interpret graphs in the context of the data setting. Chapter 2 – data collection and presentation. in chapter one, we discussed briefly the importance of samples. when we select a sample from a population, the sample must be representative of the population.
Lesson 2 Presentation Of Data Pdf Chart Histogram 2.1 introduction the collection, organization, and presentation of data are basic background mate rial for learning descriptive and inferential statistics and their applications. in this chapter, we first discuss sources of data and methods of collecting them. then we explore in detail the presentation of data in tables and graphs. finally, we. This chapter discusses the presentation, analysis, and interpretation of data in quantitative research. it is divided into descriptive data analysis and inferential data analysis. the interpretation is presented both textually and in tables or graphs. 3 focus points organize raw data using a frequency table. construct histograms, relative frequency histograms, and ogives. recognize basic distribution shapes: uniform, symmetric, skewed, and bimodal. interpret graphs in the context of the data setting. Chapter 2 – data collection and presentation. in chapter one, we discussed briefly the importance of samples. when we select a sample from a population, the sample must be representative of the population.