mean-and-mean-grouped-data-ppt.pptx
•Download as PPTX, PDF•
0 likes•35 views
This document discusses different methods for calculating the mean or average of data. It defines the mean as the central value of a set of numbers used to measure central tendency. Formulas are provided to find the mean of individual data points by summing the values and dividing by the number of data points. The document also discusses finding the mean of grouped data, which involves using a frequency table with class midpoints and frequencies to calculate the weighted average. Examples are provided to demonstrate both individual and grouped data means.
Report
Share
Report
Share
Recommended
3A. MEASURES OF CENTRAL TENDENCY UNGROUP AND GROUP DATA.pptx
This document defines and provides examples of measures of central tendency, including the mean, median, and mode. It explains that the mean is the average, the median is the middle value, and the mode is the most frequent value. Step-by-step examples are given to demonstrate how to calculate the mean, median, and mode for both ungrouped and grouped data sets. Common terminology used in grouped data, such as class intervals, midpoints, and cumulative frequency, are also defined.
Measures of central tendency
This document discusses measures of central tendency including mean, median, and mode. It provides definitions and formulas for calculating each measure from both grouped and ungrouped data. It compares the key differences between the measures such as their dependence on all data points, influence of outliers, and stability. It indicates that mode would be the most suitable measure to find the film viewed by most people.
MEASURE OF CENTRAL TENDENCY
Measure of central tendency provides a very convenient way of describing a set of scores with a single number that describes the PERFORMANCE of the group.
It is also defined as a single value that is used to describe the “center” of the data.
Measures of Central Tendency - Biostatstics
The current presentation will guide you for the basic bio-statistics. Measures of Central Tendency...
Measures-of-Central-Tendency.ppt
This document discusses various measures of central tendency including the mean, median, and mode. It provides examples of how to calculate each measure using both raw data sets and frequency distributions. The mean is calculated by adding all values and dividing by the total number of cases. The median is the middle value when cases are arranged in order. The mode is the most frequent value. Limitations of each measure are also outlined, such as the mean being affected by outliers and the median requiring ordered data.
Education Assessment in Learnings 1.pptx
This document discusses analyzing and interpreting test data using measures of central tendency, variability, position, and co-variability. It defines these statistical measures and how to calculate and apply them. Key points covered include calculating the mean, median, and mode of a data set; measures of variability like standard deviation; and how these measures can be used to analyze test scores and interpret results to improve teaching. Formulas and examples are provided to demonstrate calculating and applying these statistical concepts to educational test data.
Measures of Central Tendency.pptx
The document provides information on measures of central tendency. It discusses five main measures - arithmetic mean, geometric mean, harmonic mean, mode, and median. For arithmetic mean, it provides formulas and examples for calculating the mean from ungrouped and grouped data using both the direct and assumed mean methods. It also discusses the merits and demerits of each measure.
Arithmetic Mean in Business Statistics
The document discusses different measures of central tendency including the mean, median and mode. It provides definitions and formulas for calculating different types of means:
- The arithmetic mean is calculated by summing all values and dividing by the total number of values. It can be calculated using direct or short-cut methods for both individual observations and grouped data.
- Other means include the geometric mean and harmonic mean, which are called special averages.
- The median is the middle value when values are arranged in order. The mode is the value that occurs most frequently.
- Data can be in the form of individual observations, discrete series or continuous series. Formulas are provided for calculating the mean of grouped or ungrouped data
Recommended
3A. MEASURES OF CENTRAL TENDENCY UNGROUP AND GROUP DATA.pptx
This document defines and provides examples of measures of central tendency, including the mean, median, and mode. It explains that the mean is the average, the median is the middle value, and the mode is the most frequent value. Step-by-step examples are given to demonstrate how to calculate the mean, median, and mode for both ungrouped and grouped data sets. Common terminology used in grouped data, such as class intervals, midpoints, and cumulative frequency, are also defined.
Measures of central tendency
This document discusses measures of central tendency including mean, median, and mode. It provides definitions and formulas for calculating each measure from both grouped and ungrouped data. It compares the key differences between the measures such as their dependence on all data points, influence of outliers, and stability. It indicates that mode would be the most suitable measure to find the film viewed by most people.
MEASURE OF CENTRAL TENDENCY
Measure of central tendency provides a very convenient way of describing a set of scores with a single number that describes the PERFORMANCE of the group.
It is also defined as a single value that is used to describe the “center” of the data.
Measures of Central Tendency - Biostatstics
The current presentation will guide you for the basic bio-statistics. Measures of Central Tendency...
Measures-of-Central-Tendency.ppt
This document discusses various measures of central tendency including the mean, median, and mode. It provides examples of how to calculate each measure using both raw data sets and frequency distributions. The mean is calculated by adding all values and dividing by the total number of cases. The median is the middle value when cases are arranged in order. The mode is the most frequent value. Limitations of each measure are also outlined, such as the mean being affected by outliers and the median requiring ordered data.
Education Assessment in Learnings 1.pptx
This document discusses analyzing and interpreting test data using measures of central tendency, variability, position, and co-variability. It defines these statistical measures and how to calculate and apply them. Key points covered include calculating the mean, median, and mode of a data set; measures of variability like standard deviation; and how these measures can be used to analyze test scores and interpret results to improve teaching. Formulas and examples are provided to demonstrate calculating and applying these statistical concepts to educational test data.
Measures of Central Tendency.pptx
The document provides information on measures of central tendency. It discusses five main measures - arithmetic mean, geometric mean, harmonic mean, mode, and median. For arithmetic mean, it provides formulas and examples for calculating the mean from ungrouped and grouped data using both the direct and assumed mean methods. It also discusses the merits and demerits of each measure.
Arithmetic Mean in Business Statistics
The document discusses different measures of central tendency including the mean, median and mode. It provides definitions and formulas for calculating different types of means:
- The arithmetic mean is calculated by summing all values and dividing by the total number of values. It can be calculated using direct or short-cut methods for both individual observations and grouped data.
- Other means include the geometric mean and harmonic mean, which are called special averages.
- The median is the middle value when values are arranged in order. The mode is the value that occurs most frequently.
- Data can be in the form of individual observations, discrete series or continuous series. Formulas are provided for calculating the mean of grouped or ungrouped data
Measures of Central Tendency.ppt
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
Descriptive statistics
This document defines and provides examples of key concepts in descriptive statistics including:
- Central tendency measures like mean, median, and mode
- Dispersion measures like range, variance, and standard deviation
It explains how to calculate each measure and interprets what each conveys about the distribution of values in a data set. Outliers are shown to affect the mean but not the median.
Mean of grouped data
This document provides steps for calculating the mean of grouped data:
1. Make a frequency distribution table with class intervals, frequencies, and midpoints.
2. Multiply the midpoint and frequency for each class to calculate the fx value.
3. Use the formula x=fx/n, where f is the frequency, x is the midpoint, and n is the total frequency, to calculate the mean.
For example, given data grouped into classes with frequencies totaling 30, the mean was calculated to be 73.97.
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
Lesson 23 planning data analyses using statistics
This document discusses strategies for analyzing collected data, including descriptive and inferential statistics. Descriptive statistics like measures of central tendency (mean, median, mode) and dispersion (range, standard deviation) are used to summarize and describe data. Inferential statistics like t-tests, ANOVA, and tests of correlation can analyze relationships, differences between groups, and make generalizations from samples to populations. The document provides formulas and examples of how to calculate and interpret various statistical measures.
Central Tendency.pptx
Central tendency refers to measures that describe the center or typical value of a dataset. The three main measures of central tendency are the mean, median, and mode.
The mean is the average value found by dividing the sum of all values by the total number of values. The median is the middle value when data is arranged in order. For even datasets, the median is the average of the two middle values. The mode is the value that occurs most frequently in the dataset.
central tendency.pptx
The document discusses different measures of central tendency including the mean, median, and mode. It provides formulas and examples for calculating each measure. The mean is the average value and is calculated by summing all values and dividing by the total number. The median is the middle value when values are arranged in order. The mode is the value that appears most frequently in a data set.
SMDM Presentation.pptx
This document provides an overview of measures of central tendency including the mean, median, and mode. It defines each measure and provides examples of how to calculate them from raw data and grouped frequency distributions. The mean is the average and is calculated by summing all values and dividing by the total number of data points. The median is the middle value when data is ordered from lowest to highest. The mode is the most frequent value. Methods for calculating each measure from both ungrouped and grouped data are described.
Mean Deviation
This document defines and provides the formula for calculating mean deviation, which is a measure of variation that uses all the scores in a distribution. It is more reliable than range. Mean deviation is calculated by finding the absolute difference between each score and the mean, summing the absolute differences, and dividing by the number of observations. Two examples of calculating mean deviation for sets of data are provided, along with exercises asking students to find the mean deviation of additional data sets and define standard deviation.
Measure of dispersion statistics
This document presents information on measures of dispersion used to analyze student height data. It defines measure of dispersion as the average deviation from a central value to describe data spread. Formulas are provided for range, coefficient of range, mean deviation, variance, and standard deviation. Raw height data for 25 students is analyzed, finding a range of 23 inches, mean of 64.7 inches, and standard deviation of approximately 5 inches. Measures of dispersion are used to understand data homogeneity, mean reliability, and distribution comparisons.
Basics of Stats (2).pptx
This document provides an overview of basic statistics concepts including descriptive statistics, measures of central tendency, variability, sampling, and distributions. It defines key terms like mean, median, mode, range, standard deviation, variance, and quantiles. Examples are provided to demonstrate how to calculate and interpret these common statistical measures.
3. Mean__Median__Mode__Range.ppt
This document contains a lesson on calculating and interpreting measures of central tendency (mean, median, mode) and spread (range) from data sets. It includes definitions of these statistical terms, examples of calculating them for various data sets, and discussions of how outliers impact the mean, median and mode. The key lesson is on identifying which measure of central tendency (mean, median or mode) best describes a particular data set and why.
stat.ppt
This document contains a lesson on calculating and interpreting measures of central tendency (mean, median, mode) and range from data sets. It includes definitions of these terms, examples of finding the mean, median, mode and range of various data sets, and discussions of how outliers impact the measures of central tendency. The lesson emphasizes that different measures may be best suited for different data distribution shapes and the presence of outliers.
Mean__Median__Mode__Range.ppt
This document contains a lesson on mean, median, mode, and range. It includes definitions of these statistical terms, examples of calculating them for different data sets, and discussions of how outliers can affect the values. The lesson emphasizes that the mean, median, and mode should be selected based on which measure best describes the distribution of the actual data.
Measures of Central Tendency
Measures of Central Tendency: Mean, Median and Mode
Reference: Statistics in Psychology and Education/ by Henry E. Garrett
Kumpulan soal statistik dalam Bahasa Inggris
The document contains questions about analyzing and summarizing data sets. It includes questions about finding the highest value, lowest value, range, mean, median, mode and creating frequency distribution tables from raw data and grouped data. It asks the reader to calculate measures of central tendency like mean, median and mode for various data sets involving test scores, salaries, temperatures and more. It also includes questions about determining the number of data points above or below a given value and calculating percentages.
Measures of Dispersion - Thiyagu
This document discusses various measures of dispersion used in statistics to quantify how spread out or varied a set of data values are. It defines dispersion as the state of being dispersed or spread out, and explains that measures of dispersion help interpret the variability in data by showing how squeezed or scattered the values are. The document then describes several common measures of absolute and relative dispersion, including range, quartile deviation, mean deviation, standard deviation, and coefficient of variation. For each measure, it provides a definition and formula to calculate it from a raw data set.
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
This document discusses various measures of central tendency and variation. It defines central tendency as indicating where the center of a distribution tends to be, and mentions that measures of central tendency answer whether scores are generally high or low. It then discusses specific measures of central tendency - the mean, median, and mode - and how to calculate each one for both ungrouped and grouped data. It also discusses other measures of variation like range and standard deviation, and how to compute standard deviation for ungrouped and grouped data.
Mean Mode Median.docx
The document discusses the three measures of central tendency in statistics - mean, median, and mode. It defines each measure and provides formulas to calculate them for both grouped and ungrouped data sets. The mean is the sum of all values divided by the number of values. The median is the middle value when values are arranged in order. The mode is the value that occurs most frequently. Formulas are given to find the mean, median, and mode of raw and frequency distribution data.
central tendency
The document discusses various statistical concepts including descriptive statistics, measures of central tendency, and analyzing data distributions. It defines statistics, explains why statistics are important in education, and outlines different types of statistics including descriptive statistics. The document also covers topics such as calculating the mean, median, and mode of data sets, constructing frequency distributions and histograms, and identifying symmetrical and skewed data distributions.
More Related Content
Similar to mean-and-mean-grouped-data-ppt.pptx
Measures of Central Tendency.ppt
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
Descriptive statistics
This document defines and provides examples of key concepts in descriptive statistics including:
- Central tendency measures like mean, median, and mode
- Dispersion measures like range, variance, and standard deviation
It explains how to calculate each measure and interprets what each conveys about the distribution of values in a data set. Outliers are shown to affect the mean but not the median.
Mean of grouped data
This document provides steps for calculating the mean of grouped data:
1. Make a frequency distribution table with class intervals, frequencies, and midpoints.
2. Multiply the midpoint and frequency for each class to calculate the fx value.
3. Use the formula x=fx/n, where f is the frequency, x is the midpoint, and n is the total frequency, to calculate the mean.
For example, given data grouped into classes with frequencies totaling 30, the mean was calculated to be 73.97.
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
Lesson 23 planning data analyses using statistics
This document discusses strategies for analyzing collected data, including descriptive and inferential statistics. Descriptive statistics like measures of central tendency (mean, median, mode) and dispersion (range, standard deviation) are used to summarize and describe data. Inferential statistics like t-tests, ANOVA, and tests of correlation can analyze relationships, differences between groups, and make generalizations from samples to populations. The document provides formulas and examples of how to calculate and interpret various statistical measures.
Central Tendency.pptx
Central tendency refers to measures that describe the center or typical value of a dataset. The three main measures of central tendency are the mean, median, and mode.
The mean is the average value found by dividing the sum of all values by the total number of values. The median is the middle value when data is arranged in order. For even datasets, the median is the average of the two middle values. The mode is the value that occurs most frequently in the dataset.
central tendency.pptx
The document discusses different measures of central tendency including the mean, median, and mode. It provides formulas and examples for calculating each measure. The mean is the average value and is calculated by summing all values and dividing by the total number. The median is the middle value when values are arranged in order. The mode is the value that appears most frequently in a data set.
SMDM Presentation.pptx
This document provides an overview of measures of central tendency including the mean, median, and mode. It defines each measure and provides examples of how to calculate them from raw data and grouped frequency distributions. The mean is the average and is calculated by summing all values and dividing by the total number of data points. The median is the middle value when data is ordered from lowest to highest. The mode is the most frequent value. Methods for calculating each measure from both ungrouped and grouped data are described.
Mean Deviation
This document defines and provides the formula for calculating mean deviation, which is a measure of variation that uses all the scores in a distribution. It is more reliable than range. Mean deviation is calculated by finding the absolute difference between each score and the mean, summing the absolute differences, and dividing by the number of observations. Two examples of calculating mean deviation for sets of data are provided, along with exercises asking students to find the mean deviation of additional data sets and define standard deviation.
Measure of dispersion statistics
This document presents information on measures of dispersion used to analyze student height data. It defines measure of dispersion as the average deviation from a central value to describe data spread. Formulas are provided for range, coefficient of range, mean deviation, variance, and standard deviation. Raw height data for 25 students is analyzed, finding a range of 23 inches, mean of 64.7 inches, and standard deviation of approximately 5 inches. Measures of dispersion are used to understand data homogeneity, mean reliability, and distribution comparisons.
Basics of Stats (2).pptx
This document provides an overview of basic statistics concepts including descriptive statistics, measures of central tendency, variability, sampling, and distributions. It defines key terms like mean, median, mode, range, standard deviation, variance, and quantiles. Examples are provided to demonstrate how to calculate and interpret these common statistical measures.
3. Mean__Median__Mode__Range.ppt
This document contains a lesson on calculating and interpreting measures of central tendency (mean, median, mode) and spread (range) from data sets. It includes definitions of these statistical terms, examples of calculating them for various data sets, and discussions of how outliers impact the mean, median and mode. The key lesson is on identifying which measure of central tendency (mean, median or mode) best describes a particular data set and why.
stat.ppt
This document contains a lesson on calculating and interpreting measures of central tendency (mean, median, mode) and range from data sets. It includes definitions of these terms, examples of finding the mean, median, mode and range of various data sets, and discussions of how outliers impact the measures of central tendency. The lesson emphasizes that different measures may be best suited for different data distribution shapes and the presence of outliers.
Mean__Median__Mode__Range.ppt
This document contains a lesson on mean, median, mode, and range. It includes definitions of these statistical terms, examples of calculating them for different data sets, and discussions of how outliers can affect the values. The lesson emphasizes that the mean, median, and mode should be selected based on which measure best describes the distribution of the actual data.
Measures of Central Tendency
Measures of Central Tendency: Mean, Median and Mode
Reference: Statistics in Psychology and Education/ by Henry E. Garrett
Kumpulan soal statistik dalam Bahasa Inggris
The document contains questions about analyzing and summarizing data sets. It includes questions about finding the highest value, lowest value, range, mean, median, mode and creating frequency distribution tables from raw data and grouped data. It asks the reader to calculate measures of central tendency like mean, median and mode for various data sets involving test scores, salaries, temperatures and more. It also includes questions about determining the number of data points above or below a given value and calculating percentages.
Measures of Dispersion - Thiyagu
This document discusses various measures of dispersion used in statistics to quantify how spread out or varied a set of data values are. It defines dispersion as the state of being dispersed or spread out, and explains that measures of dispersion help interpret the variability in data by showing how squeezed or scattered the values are. The document then describes several common measures of absolute and relative dispersion, including range, quartile deviation, mean deviation, standard deviation, and coefficient of variation. For each measure, it provides a definition and formula to calculate it from a raw data set.
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
This document discusses various measures of central tendency and variation. It defines central tendency as indicating where the center of a distribution tends to be, and mentions that measures of central tendency answer whether scores are generally high or low. It then discusses specific measures of central tendency - the mean, median, and mode - and how to calculate each one for both ungrouped and grouped data. It also discusses other measures of variation like range and standard deviation, and how to compute standard deviation for ungrouped and grouped data.
Mean Mode Median.docx
The document discusses the three measures of central tendency in statistics - mean, median, and mode. It defines each measure and provides formulas to calculate them for both grouped and ungrouped data sets. The mean is the sum of all values divided by the number of values. The median is the middle value when values are arranged in order. The mode is the value that occurs most frequently. Formulas are given to find the mean, median, and mode of raw and frequency distribution data.
central tendency
The document discusses various statistical concepts including descriptive statistics, measures of central tendency, and analyzing data distributions. It defines statistics, explains why statistics are important in education, and outlines different types of statistics including descriptive statistics. The document also covers topics such as calculating the mean, median, and mode of data sets, constructing frequency distributions and histograms, and identifying symmetrical and skewed data distributions.
Similar to mean-and-mean-grouped-data-ppt.pptx (20)
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Group 3 measures of central tendency and variation - (mean, median, mode, ra...
Recently uploaded
How to deliver Powerpoint Presentations.pptx
"How to make and deliver dynamic presentations by making it more interactive to captivate your audience attention"
BÀI TẬP DẠY THÊM TIẾNG ANH LỚP 7 CẢ NĂM FRIENDS PLUS SÁCH CHÂN TRỜI SÁNG TẠO ...
BÀI TẬP DẠY THÊM TIẾNG ANH LỚP 7 CẢ NĂM FRIENDS PLUS SÁCH CHÂN TRỜI SÁNG TẠO ...Nguyen Thanh Tu Collection
https://app.box.com/s/qhtvq32h4ybf9t49ku85x0n3xl4jhr15Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) Curriculum
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as discipline
Chapter wise All Notes of First year Basic Civil Engineering.pptx
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
مصحف أحرف الخلاف للقراء العشرةأعد أحرف الخلاف بالتلوين وصلا سمير بسيوني غفر الله له
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
A Visual Guide to 1 Samuel | A Tale of Two Hearts
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
skeleton System.pdf (skeleton system wow)
🔥🔥🔥🔥🔥🔥🔥🔥🔥
إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
🔥🔥🔥🔥🔥🔥🔥🔥🔥
How Barcodes Can Be Leveraged Within Odoo 17
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
HYPERTENSION - SLIDE SHARE PRESENTATION.
IT WILL BE HELPFULL FOR THE NUSING STUDENTS
IT FOCUSED ON MEDICAL MANAGEMENT AND NURSING MANAGEMENT.
HIGHLIGHTS ON HEALTH EDUCATION.
Recently uploaded (20)
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
REASIGNACION 2024 UGEL CHUPACA 2024 UGEL CHUPACA.pdf
BÀI TẬP DẠY THÊM TIẾNG ANH LỚP 7 CẢ NĂM FRIENDS PLUS SÁCH CHÂN TRỜI SÁNG TẠO ...
BÀI TẬP DẠY THÊM TIẾNG ANH LỚP 7 CẢ NĂM FRIENDS PLUS SÁCH CHÂN TRỜI SÁNG TẠO ...
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) Curriculum
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) Curriculum
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Chapter wise All Notes of First year Basic Civil Engineering.pptx
Chapter wise All Notes of First year Basic Civil Engineering.pptx
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
مصحف القراءات العشر أعد أحرف الخلاف سمير بسيوني.pdf
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.ppt
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
Juneteenth Freedom Day 2024 David Douglas School District
Juneteenth Freedom Day 2024 David Douglas School District
mean-and-mean-grouped-data-ppt.pptx
- 3. MEAN The mean is the average or a calculated central value of a set of numbers that is used to measure the central tendency of the data. Central tendency is the statistical measure that recognizes the entire set of data or distribution through a single value.
- 4. Formula:
- 5. Examples: Find the mean of 10,20,30,40,50. Mean = 10 + 20 + 30 + 40 + 50 / 5 = 150 / 50 = 30 Find the mean terms of 56, 32, 48, 29, 13, 36, 47. Mean = 56 + 32 + 48 + 29 + 13 + 36 + 47 / 7 = 261 / 7 = 37.29
- 6. Let’s try this! Find the mean terms of 66, 55, 33, 22, 44, 77, 88. Find the mean of the following group of numbers 67, 89, 45, 87, 91, 35,75, 89. Mean = 66 + 55+ 33 + 22 + 44 + 77 + 88 / 7 = 385 / 7 = 55 Mean = 67 + 89 + 45 + 87 + 91 + 35 + 75 + 89 / 8 = 578 / 8 = 72.3
- 7. MEAN GROUP DATA Mean of grouped data is the process of finding the average of a set of data that are grouped together in different categories. To determine the mean of a grouped data, a frequency table is required to set across the frequencies of the data which makes it simple to calculate.
- 8. Formula: x̄ = Σf•m/Σf Where: • x̄ is the mean value of the set of given data • f is the frequency of each class • m or x is the mid-interval value of each class
- 9. Example: Grade Frequency (f) Midpoint or classmark (m) or (x) F•m 40-49 2 44.5 89 50-59 5 54.5 272.5 60-69 7 64.5 381.5 70-79 9 74.5 670.5 80-89 8 84.5 676 90-100 6 95 570 Total: 37 Total: 2,659.5 m= lower + upper / 2 x̄ = Σf•m/Σf = 2,659.5 / 37 = 71.9
- 11. Exercise: Part 1 Find the mean: 1. 34,56,65,22,11,24,87. 2. 99,127,234,245,88. 3. 45,32,78,45,34,98,31,62.
- 12. Part II: Solve the mean group data. Age Midpoint x Number f f•x 0 - 9 20 10 - 19 21 20 - 29 23 30 - 39 16 40 - 49 11 50 - 59 10 60 - 69 7 70 - 79 3 80 - 89 1