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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
Snyder, Johnny – Information Systems Education Journal, 2019
Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…
Descriptors: Data Analysis, Error Patterns, Data Collection, Spreadsheets
Peer reviewedNordmoe, Eric – Teaching Statistics, 1998
Presents an outdoor activity requiring students to collect data and suggests some possible applications of the data. (ASK)
Descriptors: Data Collection, Data Processing, Mathematics Activities, Mathematics Instruction
Peer reviewedHunt, Gordon – Teaching Statistics, 1998
Describes an activity that engages pupils in the whole statistical process from collecting data to interpreting the results. Discusses the importance of these activities in developing knowledge, skills, understanding, and ability in problem solving. (Author/ASK)
Descriptors: Data Collection, Data Interpretation, Data Processing, Elementary Secondary Education
Peer reviewedBasile, Carole G. – Teaching Children Mathematics, 1999
Describes a process of data collection with young children using the outdoors as a mathematical context. The process of data collection and processing introduces children to more abstract mathematics as they sort and classify data, create graphs, compare datasets, examine patterns, and interpret graphical representations. (ASK)
Descriptors: Data Collection, Data Processing, Elementary Education, Elementary School Mathematics
Vocational Rehabilitation Administration (DHEW), Washington, DC. Div. of Statistics and Studies. – 1967
This seminar was designed for State Vocational Rehabilitation agency managers, who are not professional statisticians, to provide them with an awareness of some of the more easily constructed and useful tabulations of agency data. The 3-day seminar included 39 participants from seven states, Guam, and The Vocational Rehabilitation Administration.…
Descriptors: Administrator Education, Conference Reports, Data Analysis, Data Collection
New York State Education Dept., Albany. Bureau of General Education Curriculum Development. – 1977
Graphical representation of statistical data is the focus of this resource handbook. Only graphs which present numerical information are discussed. Activities involving the making, interpreting, and use of various types of graphs and tables are included. Sections are also included which discuss statistical terms, normal distribution and…
Descriptors: Activity Units, Data Collection, Data Processing, Graphs
Palmer, David C., Ed. – 1970
A design for a nationwide system of library statistics is provided along with specific recommendations for its structure and development. The proposed system depends upon a much more active role of the states and upon the input of research, interaction of advisory groups, inservice training, and relatively small amounts of money at strategic…
Descriptors: Data Collection, Data Processing, Databases, Information Needs
Creighton, Theodore B. – 2000
Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…
Descriptors: Administrator Education, Data, Data Analysis, Data Collection
Peer reviewedMaher, Carolyn A. – European Journal of Engineering Education, 1990
Described are engineering programs that have used automated data acquisition systems to implement data collection and analyze experiments. Applications include a biochemical engineering laboratory, heat transfer performance, engineering materials testing, mechanical system reliability, statistical control laboratory, thermo-fluid laboratory, and a…
Descriptors: Biochemistry, College Curriculum, College Science, Data Collection

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