This document defines and provides examples of three common measures of central tendency: the mean, median, and mode. The mean is the average found by adding all data points and dividing by the total number. The median is the middle number when data points are ordered from lowest to highest. The mode is the most frequently occurring data point in a dataset. Examples are provided to demonstrate how to calculate each measure using sample data sets.
Introduction to Statistics - Basic concepts
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Psychologist Stanley Smith Stevens (1946) developed the best-known classification with four levels, or scales of measurement such as Nominal, Ordinal, Interval, and Ratio. This presentation slide describes the four-level of scales with illustrations.
Introduction to Statistics - Basic concepts
- How to be a good doctor - A step in Health promotion
- By Ibrahim A. Abdelhaleem - Zagazig Medical Research Society (ZMRS)
Psychologist Stanley Smith Stevens (1946) developed the best-known classification with four levels, or scales of measurement such as Nominal, Ordinal, Interval, and Ratio. This presentation slide describes the four-level of scales with illustrations.
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A measure of central tendency is a summary statistic that represents the center point or typical value of a dataset. These measures indicate where most values in a distribution fall and are also referred to as the central location of a distribution. You can think of it as the tendency of data to cluster around a middle value. In statistics, the three most common measures of central tendency are the mean, median, and mode. Each of these measures calculates the location of the central point using a different method.
Measure of Central Tendency (Mean, Median, Mode and Quantiles)Salman Khan
A measure of central tendency is a summary statistic that represents the center point or typical value of a dataset. These measures indicate where most values in a distribution fall and are also referred to as the central location of a distribution. You can think of it as the tendency of data to cluster around a middle value. In statistics, the three most common measures of central tendency are the mean, median, and mode. Each of these measures calculates the location of the central point using a different method.
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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.
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For more information, visit-www.vavaclasses.com
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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.
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.
2. Definition
◦Summarizing data can help us understand them,
especially when the number of data is large. Measure
Of Location presents several ways to summarize
quantitative data by a typical value.
3. ◦We will study three common measures of location:
◦the MEAN,
◦THE MEDIAN,
◦AND THE MODE.
◦THE MEAN, MEDIAN AND MODE ARE ALL "MOST
REPRESENTATIVE
4. The Mean
◦The mean (more precisely, the arithmetic mean) is
commonly called the average. It is the sum of the data,
divided by the number of data:
◦ Mean: The "average" number; found by adding all data points and dividing by
the number of data points.
Mean= sum of data
-------------------------- = Total Number of data
Number Of data
5. Example of Mean
Example: The mean of 4, 1, and 7 is (4+1+7)/3=12
Calculating the mean
There are many different types of mean, but usually when people
say mean, they are talking about the arithmetic mean.
Here's the same formula written more formally:
Mean= ∑xi
____
n
6. The Median
◦ Median: The middle number; found by ordering all data
points and picking out the one in the middle (or if there are
two middle numbers, taking the mean of those two
numbers).
◦ Example: The median of 444, 111, and 777 is 444 because
when the numbers are put in order (1(1(1, 444, 7)7)7), the
number 444 is in the middle.
7. Finding the Median
◦ The median is the middle point in a dataset—half of the data points
are smaller than the median and half of the data points are larger.
◦ To find the median:
◦ Arrange the data points from smallest to largest.
◦ If the number of data points is odd, the median is the middle data
point in the list.
◦ If the number of data points is even, the median is the average of the
two middle data points in the list.
8. Example 1
◦ Find the median of this data:
1, 4, 2, 5, 0
◦ Put the data in order first:
0, 1, 2, 4, 5
◦ There is an odd number of data points, so the median is the
middle data point.
◦ 0, 1,2 , 4, 5
◦ The median is 2.
9. The Mode
◦ Mode: The most frequent number—that is, the number that
occurs the highest number of times.
◦ The mode is the most commonly occurring data point in a
dataset. The mode is useful when there are a lot of repeated
values in a dataset. There can be no mode, one mode, or
multiple modes in a dataset.
10. Example Of Mode
Ms. Norris asked students in her class how many siblings they
each had.
Find the mode of the data:
0, 0, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 5
Look for the value that occurs the most:
0, 0, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2 ,3, 5
The mode is 1 sibling.