Scope and Methids of Staitistics in sical Science
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This document provides an overview of quantitative techniques and statistics. It defines statistics as consisting of methods for collecting and analyzing data to scientifically summarize, present, and analyze statistical information and draw valid conclusions. The scope of statistical methods includes research design and planning, data description and exploration, and making predictions and generalizing findings. The document also discusses parametric versus non-parametric data, primary versus secondary sources of data, and the main types of research: qualitative, quantitative, mixed method, and triangulation.
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Markoff, Euler etc. These mathematicians were mainly interested in the development of
the theory of probability as applied to the theory of games and other chance phenomena.
Till early nineteenth century, statistics was mainly concerned with official statistics needed
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etc. of a state or kingdom.
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Statistics From Wikipedia, the free encyclopedia Jump to: navigation, search This article is
about the discipline. For other uses, see Statistics (disambiguation). Statistics is the study of the
collection, organization, analysis, interpretation and presentation of data.[1][2] It deals with all
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Scope Some consider statistics to be a mathematical body of science pertaining to the collection,
analysis, interpretation or explanation, and presentation of data,[5] while others consider it a
branch of mathematics[6] concerned with collecting and interpreting data. Because of its
empirical roots and its focus on applications, statistics is usually considered to be a distinct
mathematical science rather than a branch of mathematics.[7][8] Much of statistics is non-
mathematical: ensuring that data collection is undertaken in a way that allows valid conclusions
to be drawn; coding and archiving of data so that information is retained and made useful for
international comparisons of official statistics; reporting of results and summarised data (tables
and graphs) in ways that are comprehensible to those who need to make use of them;
implementing procedures that ensure the privacy of census information. Statisticians improve
the quality of data by coming up with a specific design of experiments and survey sampling.
Statistics itself also provides tools for prediction and forecasting the use of data and statistical
models. Statistics is applicable to a wide variety of academic disciplines, including natural and
social sciences, government.
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This document provides an introduction to quantitative techniques and statistics. It discusses that statistics is the science of collecting, analyzing, and presenting numerical data to draw conclusions about populations based on samples. Descriptive statistics can summarize both population and sample data using measures of central tendency and dispersion. Inferential statistics is then used to draw inferences about the overall population based on patterns in sample data while accounting for randomness. The objectives, types (descriptive and inferential), advantages, and disadvantages of statistics are also outlined. Key terms are introduced but not defined in detail.
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• It is a specific branch of mathematics that deals with analysis of data collected on various population groups
• Statistics involves mathematical abilities more than addition, subtraction, division and multiplication which are repeated many times in a logical fashion.
• for fuller details of statistical tests may refer to Chandha (1992); Vincent (1995); Hopkin et al. (1996); Sincrich et al. (2002); Triola (2002)
• Understanding of basic statistics is indispensable for dealing with the process of evaluation of test and measurement.
• The statistical concepts facilities proper and effective interpretation of test scores or measurements taken by the coach or a physical educator
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• Tests act as seed to measurements, the statistical tests act as seed to the construction of all other types of tests and are also essential for the testing of validity, reliability and objectivity of all tests.
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2. Analysis data
3. Synthesize data (classification / combination of facts)
4. Compare groups of data
5. Simplification of unwieldy and complex data
6. Proper interpretation of a data
7. testing of hypotheses
8. understand the relationship and association between different parameters, make predications and take decisions.
9. Construction of physical, psychomotor and written tests
10. Evaluation of individual measurements
11. selection of sportsperson
12. Monitoring of training and teaching effects and testing the need for individualization of training and teaching.
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14. Statistic is numerical value which characterizes a group of scores. For example the average height characterizes the entire sample whose all subjects’ heights have been measured to calculate the average height. A number of such characterizing values refer to the plural form of above mentioned statistic and thus, give rise to the more commonly used
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1. Statistics is the science of collecting, analyzing, and interpreting quantitative data. It helps to summarize large data sets and make inferences about entire populations based on samples.
2. There are different types of statistical data including descriptive statistics, which summarize data, and inferential statistics, which are used to test hypotheses.
3. Statistics has many applications including use in research design, data analysis, and interpreting results in fields like biology, medicine, and public health. Proper collection and analysis of data is important for drawing accurate statistical conclusions.
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Statistics is the science of collecting, organizing, analyzing, and interpreting numerical data. It can involve collecting data from an entire population or a sample. The data is used to describe situations accurately and make predictions. Some key aspects of statistics include collecting data through surveys or existing sources, organizing and presenting it in tables or graphs, analyzing patterns in the data, and interpreting the results.
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This document provides information about statistics and data. It discusses that statistics is the science of collecting, organizing, analyzing, and interpreting data. The term statistics originated from Latin and Italian words meaning political state. Originally, statistics was used for administrative needs of states, but now is used more broadly. Statistics can refer to either numerical data (plural sense) or the science of analyzing data (singular sense). The document also discusses definitions of statistics, characteristics of statistics, sources of primary and secondary data, methods of collecting primary data, and limitations of statistics.
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This document provides an introduction and overview of statistics. It discusses that statistics refers to both the collection and analysis of quantitative data, as well as the scientific methods used. The document outlines the key stages of statistics including data collection, organization, presentation, analysis and interpretation. It also discusses the nature of statistics as both a science and an art. The subject matter is divided into descriptive and inferential statistics. Limitations, scope, functions and importance of statistics are also summarized.
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Scope and Methids of Staitistics in sical Science
- 1. QUANTITATIVE TECHNIQUE TEC 518 LECTURE BY AHMAD A. PALLADAN, PHD
- 2. MEANING OF STATISTICS STATISTICS CONSISTS OF A BODY OF METHODS FOR COLLECTING AND ANALYSING DATA. (AGRESTI & FINLAY, 1997) STATISTICS IS CONCERNED WITH THE SCIENTIFIC METHOD OF COLLECTING, ORGANIZING, SUMMARIZING, PRESENTING AND ANALYSING STATISTICAL INFORMATION (DATA) AS WELL AS DRAWING VALID CONCLUSION ON THE BASIS OF SUCH ANALYSIS.
- 3. SCOPE FOR STATISTICAL METHODS 1.Design: Planning and carrying out research studies. 2. Description: Summarizing and exploring data. 3. Inference: Making predictions and generalizing about phenomena represented by the
- 4. TYPESOFSTATISTICALDATATYPES OF STATISTICAL DATA PARAMETRIC STATISTICS Parametric Data Non– Parametric Data
- 5. SOURCES OF DATA Primary data: These are data generated by first hand or data obtained directly from respondents by personal interview, questionnaire, measurements or observation. Statistical data can be obtained from: (i) Census – complete enumeration of all the unit of the population (ii) Surveys – the study of representative part of a population (iii) Experimentation – observation from experiment carried out in laboratories and research center.
- 6. SOURCES OF DATA (CONT.) 2. SECONDARY DATA: THESE ARE DATA OBTAINED FROM PUBLICATION, NEWSPAPERS, AND ANNUAL REPORTS. THEY ARE USUALLY SUMMARIZED DATA USED FOR PURPOSE OTHER THAN THE INTENDED ONE. THESE COULD BE OBTAIN FROM THE FOLLOWING: (I) PUBLICATION E.G. EXTRACT FROM PUBLICATIONS (II) RESEARCH/MEDIA ORGANIZATION (III) EDUCATIONAL INSTITUTIONS
- 7. TYPES OF RESEARCH •QUALITATIVE •QUANTITATIVE •MIX METHOD •TRIANGULATION