Stastistics in Physical Education - SMK.pptxshatrunjaykote
• 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
• While a computer assists the teacher or the coach in saving the huge time needed for enormous calculations, but the meaning of results is made clear only through the understanding of relevant statistical test concepts.
• 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.
The information which we can deduce from test and measurement is based on our statistical ability. It is the statistical tools which enable us to do the following important functions:
1. Organize and tabulate date (presentation of facts in a definite form)
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.
13. Meaning: The word “statistics” is a plural form of ‘statistic’. The term statistic is uncommon to that an extent that many of the students of statistics may be unaware of its singular form. The word statistics has been taken from German word ‘statistik’ meaning a political state. Since, facts and figures were required in olden days mainly by kings for their administration. Therefore, in the beginning. It was also known as the ‘Science of Kings’ (Chadha, 1992). Subsequently, its scope has greatly widened and statistics now refers to a huge body of methods, symbols and formulae dealing with phenomena that can be described numerically providing quantitative arrays of information
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
Get your quality homework help now and stand out.Our professional writers are committed to excellence. We have trained the best scholars in different fields of study.Contact us now at http://www.essaysexperts.net/ and place your order at affordable price done within set deadlines.We always have someone online ready to answer all your queries and take your requests.
Stastistics in Physical Education - SMK.pptxshatrunjaykote
• 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
• While a computer assists the teacher or the coach in saving the huge time needed for enormous calculations, but the meaning of results is made clear only through the understanding of relevant statistical test concepts.
• 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.
The information which we can deduce from test and measurement is based on our statistical ability. It is the statistical tools which enable us to do the following important functions:
1. Organize and tabulate date (presentation of facts in a definite form)
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.
13. Meaning: The word “statistics” is a plural form of ‘statistic’. The term statistic is uncommon to that an extent that many of the students of statistics may be unaware of its singular form. The word statistics has been taken from German word ‘statistik’ meaning a political state. Since, facts and figures were required in olden days mainly by kings for their administration. Therefore, in the beginning. It was also known as the ‘Science of Kings’ (Chadha, 1992). Subsequently, its scope has greatly widened and statistics now refers to a huge body of methods, symbols and formulae dealing with phenomena that can be described numerically providing quantitative arrays of information
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
Get your quality homework help now and stand out.Our professional writers are committed to excellence. We have trained the best scholars in different fields of study.Contact us now at http://www.essaysexperts.net/ and place your order at affordable price done within set deadlines.We always have someone online ready to answer all your queries and take your requests.
Statistical methods and analyses are used to communicate research findings and give credibility to research methodology and conclusions. It is important for researchers and also consumers of research to understand statistics so that they can be informed, evaluate the credibility and usefulness of information, and make appropriate decisions.
Statistics From Wikipedia, the free encyclopedia Jump to navigation.pdfARYAN20071
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
aspects of this, including the planning of data collection in terms of the design of surveys and
experiments.[1] A statistician is someone who is particularly well-versed in the ways of thinking
necessary for the successful application of statistical analysis. Such people have often gained
experience through working in any of a wide number of fields. There is also a discipline called
mathematical statistics that studies statistics mathematically. The word statistics, when referring
to the scientific discipline, is singular, as in \"Statistics is an art.\"[3] This should not be confused
with the word statistic, referring to a quantity (such as mean or median) calculated from a set of
data,[4] whose plural is statistics (\"this statistic seems wrong\" or \"these statistics are
misleading\"). More probability density will be found the closer one gets to the expected (mean)
value in a normal distribution. Statistics used in standardized testing assessment are shown. The
scales include standard deviations, cumulative percentages, percentile equivalents, Z-scores, T-
scores, standard nines, and percentages in standard nines. Contents 1 Scope 2 History 3
Overview 4 Statistical methods 4.1 Experimental and observational studies 4.2 Levels of
measurement 4.3 Key terms used in statistics 4.4 Examples 5 Specialized disciplines 6 Statistical
computing 7 Misuse 8 Statistics applied to mathematics or the arts 9 See also 10 References
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.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Statistical methods and analyses are used to communicate research findings and give credibility to research methodology and conclusions. It is important for researchers and also consumers of research to understand statistics so that they can be informed, evaluate the credibility and usefulness of information, and make appropriate decisions.
Statistics From Wikipedia, the free encyclopedia Jump to navigation.pdfARYAN20071
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
aspects of this, including the planning of data collection in terms of the design of surveys and
experiments.[1] A statistician is someone who is particularly well-versed in the ways of thinking
necessary for the successful application of statistical analysis. Such people have often gained
experience through working in any of a wide number of fields. There is also a discipline called
mathematical statistics that studies statistics mathematically. The word statistics, when referring
to the scientific discipline, is singular, as in \"Statistics is an art.\"[3] This should not be confused
with the word statistic, referring to a quantity (such as mean or median) calculated from a set of
data,[4] whose plural is statistics (\"this statistic seems wrong\" or \"these statistics are
misleading\"). More probability density will be found the closer one gets to the expected (mean)
value in a normal distribution. Statistics used in standardized testing assessment are shown. The
scales include standard deviations, cumulative percentages, percentile equivalents, Z-scores, T-
scores, standard nines, and percentages in standard nines. Contents 1 Scope 2 History 3
Overview 4 Statistical methods 4.1 Experimental and observational studies 4.2 Levels of
measurement 4.3 Key terms used in statistics 4.4 Examples 5 Specialized disciplines 6 Statistical
computing 7 Misuse 8 Statistics applied to mathematics or the arts 9 See also 10 References
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.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2. Introduction to statistics:
Statistics is a mathematical body of science that pertains to the collection,
analysis, interpretation or explanation, and presentation of data, or as a
branch of mathematics. Some consider statistics to be a distinct
mathematical science rather than a branch of mathematics. While many
scientific investigations make use of data, statistics is concerned with the
use of data in the context of uncertainty and decision making in the face of
uncertainty.
In applying statistics to a problem, it is common practice to start with a
population or process to be studied. Populations can be diverse topics such
as "all people living in a country" or "every atom composing a crystal".
Ideally, statisticians compile data about the entire population (an operation
called census). This may be organized by governmental statistical institutes.
Descriptive statistics can be used to summarize the population data.
Numerical descriptors include mean and standard deviation for continuous
data (like income), while frequency and percentage are more useful in terms
of describing categorical data (like education).
3. When a census is not feasible, a chosen subset of the population called a
sample is studied. Once a sample that is representative of the population is
determined, data is collected for the sample members in an observational or
experimental setting. Again, descriptive statistics can be used to summarize
the sample data.
However, drawing the sample contains an element of randomness; hence, the
numerical descriptors from the sample are also prone to uncertainty. To draw
meaningful conclusions about the entire population, inferential statistics is
needed.
It uses patterns in the sample data to draw inferences about the population
represented while accounting for randomness. These inferences may take the
form of answering yes/no questions about the data (hypothesis testing),
estimating numerical characteristics of the data (estimation), describing
associations within the data (correlation), and modeling relationships within
the data (for example, using regression analysis).
Inference can extend to forecasting, prediction, and estimation of unobserved
values either in or associated with the population being studied. It can
include extrapolation and interpolation of time series or spatial data, and data
mining.
4. MEANING OF STATISTICS:
Statistical is a mathematical science pertaining to the collection, analysis,
interpretation or explanation, and presentation of data.
DEFINITION OF STATISTICS:
“statistics are numerical statements of facts in any department of enquiry,
placed in relation to each other”.
- Dr. A. L. Bowley
“statistics is the science of collection, presentation, analysis, and interpretation
of numerical data”.
-Croxton and Cowden
5. OBJECTIVES OF STATISTICS:
1. To draw conclusions about a population followed by an analysis of
information contained in sample data. This includes assessing the
degree of uncertainty in these inferences.
2. To plan the process and the observations can be used to draw valid
conclusions.
3. To determine the type and quantity of data that must be collected.
4. To analyse and draw conclusions from the data.
5. To assess the conclusions strengths and evaluate their uncertainty.
6. TYPES OF STATISTICS:
Descriptive statistics:
descriptive statistics describe, show, and summarize the basic features of
a dataset found in a given study, presented in a summery that describes the
data sample and its measurements. It helps analysts to understand the data
better.
two main types of descriptive statistics:
1. Measures of central tendency
Mean
Median
Mode
2. Measures of dispersion or variance
variance
Standard deviation
Range
7. INFERENTIAL STATISTICS:
inferential statistics is a branch of statistics that makes the use of
various analytical tools to draw inferences about the population data
from sample data.
Two types of inferential statistics
1. Hypothesis testing
2. Regression analysis
8. Advantages of statistics:
1. Making sense of data
2. Identifying patterns and trends
3. Making predictions
4. Making decisions
5. Communicating information