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This document discusses different types of data and attributes that can be measured in a study about snack foods. It defines nominal, ordinal, interval, and ratio data, and describes the differences between them. It also defines quantitative and qualitative attributes, and provides examples of attributes that could be measured in a snack food study, such as mass, heat, and distance. Finally, it defines populations and samples, and provides some examples of possible populations for testing, such as teenagers and urban residents.
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This document provides an outline for a course on probability and statistics. It includes an introduction to key statistical concepts like measures of central tendency, dispersion, correlation, probability distributions, and hypothesis testing. Assignments are provided to help students apply these statistical methods to real-world examples from various fields like business, engineering, and the biological sciences. References for further reading on topics in statistics and probability are also listed.
Finals Stat 1
This document provides an outline for a course on probability and statistics. It begins with an introduction to statistics, including definitions and general uses. It then covers various topics that will be taught, such as measures of central tendency, probability, discrete and continuous distributions, and hypothesis testing. References for textbooks are also provided. The document contains sample assignments and examples to illustrate concepts like scales of measurement, data collection methods, and graphical representations of data. It provides instructions for calculating measures of central tendency and examples of frequency distributions and their related graphs.
Probability and statistics
This document provides an outline for a course on probability and statistics. It begins with an introduction to statistics, including definitions and general uses. It then covers topics like measures of central tendency, probability, discrete and continuous distributions, and hypothesis testing. References for textbooks on the subject are also provided. Assignments include calculating measures of central tendency and constructing frequency distributions from raw data. Various scales of measurement and methods of data collection are defined. Graphical representations like histograms, pie charts, and bar graphs are discussed. Formulas are given for calculating the mean, median, and mode of both grouped and ungrouped data.
Introduction of statistics and probability
This document discusses key concepts in statistics including collecting, organizing, and analyzing quantitative and qualitative data. It defines common statistical terminology like nominal, ordinal, interval, and ratio scales of measurement. Descriptive and inferential statistics are compared, where descriptive statistics summarize data and inferential statistics are used to make generalizations from a sample to a population. Common descriptive measures like mean, median, and mode are also defined.
Final Lecture - 1.ppt
This document discusses statistics and biostatistics. It defines statistics as the science of gathering, presenting, analyzing, and interpreting data using mathematics and probability. Biostatistics applies statistical science to analyze problems and research in biology and health sciences. The roles of biostatisticians are described as designing studies, analyzing data, and answering scientific questions. The document also discusses descriptive versus inferential statistics, types of statistics including qualitative versus quantitative data, levels of data measurement from nominal to ratio, and classification of data.
Probability and statistics(assign 7 and 8)
kelan nyo isubmit yung assignment no. 7 and 8 nyo nasa slides yun ng stats. isubmit nyo sa akin sa lunes during electromagnetism kasi kukulangin yung class participation nyo sa stats.
Bio stat
This document provides an introduction and overview of biostatistics. It defines key biostatistics terms like population, sample, parameter, statistic, quantitative vs. qualitative data, levels of measurement, descriptive vs. inferential biostatistics, and common statistical notations. It also discusses sources of health information and how computerized health management information systems are used to collect, analyze and report data.
Scaling and measurement technique
Measurement is the process observing and recording the observations that are collected as part of a research effort.
Process of assigning numbers to objects or observations, the level of measurement being a function of the rules under which the numbers are assigned.
“convert the basic materials of the problem to data”
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