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This document discusses how to gather statistical data and organize it in a frequency distribution table. It provides examples of collecting data through surveys, observations, experiments, and publications. Various methods for collecting data are described, including interviews, questionnaires, observation, and experiments. The document outlines the steps for constructing frequency tables from both ungrouped and grouped data, such as determining the range and class intervals. Examples are provided to illustrate how to tally frequencies and determine the most and least frequent values.

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COT-2-ANGLE-OF-ELEVATION-DEPRESSION.pptx

COT-2-ANGLE-OF-ELEVATION-DEPRESSION.pptx

union and intersection of events.ppt

union and intersection of events.ppt

Math 8 - Linear Inequalities in Two Variables

Math 8 - Linear Inequalities in Two Variables

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COT-2-ANGLE-OF-ELEVATION-DEPRESSION.pptx

This document summarizes a classroom observation of a 9th grade mathematics lesson on trigonometry. The lesson introduced the concepts of angle of elevation and angle of depression through classroom activities and examples. Students identified objects at eye level, above eye level, and below eye level. They then learned that an angle of elevation is formed when looking up at objects above eye level, while an angle of depression is formed when looking down at objects below eye level. Students practiced identifying horizontal lines, lines of sight, angles of elevation, and angles of depression in different diagrams. The lesson emphasized real-world applications of these trigonometric concepts.

union and intersection of events.ppt

The document discusses probability and events, defining key terms like experiment, outcome, sample space, and event. It provides examples of simple and compound events, and explains how to calculate the probability of simple events using the formula of number of outcomes in the event over the total number of possible outcomes. Rules for probability are also outlined, such as the probability of any event being between 0 and 1 and the sum of probabilities of all outcomes equaling 1.

Math 8 - Linear Inequalities in Two Variables

This document is a math lesson plan on linear inequalities in two variables taught by Mr. Carlo Justino J. Luna at Malabanias Integrated School in Angeles City. The lesson introduces linear inequalities and their notation, defines them as having two linear expressions separated by symbols like greater than and less than, and shows examples of inequalities in two variables. It then discusses how to determine if an ordered pair is a solution by substituting into the inequality. Finally, it explains how to graph linear inequalities in two variables by first rewriting them as equations and then plotting intercepts and shading the appropriate region based on a test point.

Linear Equations and Inequalities in One Variable

The document discusses linear equations and inequalities in one variable. It defines linear equations and inequalities, and describes methods for solving them including: guess-and-check, cover-up, and working backwards. It also covers properties of equality and inequality, and provides examples of solving linear equations and inequalities using these properties and graphical representations of solution sets on number lines.

Probability of Simple and Compound Events

This document contains a lesson plan on probability for students. It begins with definitions of key probability terms and examples of calculating probabilities of simple and compound events. It then provides word problems for students to practice calculating probabilities. The document concludes with additional practice problems for students to answer. The overall document provides instruction and practice on fundamental concepts in probability.

Translating Expressions

The document provides examples and explanations for translating word problems and phrases into algebraic expressions. It gives examples such as "18 less than a number" being translated to "x - 18" and "the product of a number and 5" being "5n". It also provides word problems like writing an expression for the total cost of admission plus rides at a county fair. The document teaches learners how to identify keywords that indicate mathematical operations when translating word phrases into algebraic notation.

Grade 9: Mathematics Unit 2 Quadratic Functions.

Here are the key points about quadratic functions:
- A quadratic function is a function that can be represented by an equation of the form y = ax2 + bx + c, where a ≠ 0.
- The highest power of the variable x is 2, so the equation is of degree 2.
- Quadratic functions have a parabolic shape when graphed.
- They can model many real-world phenomena like projectile motion, profit, area of shapes, etc.
- Quadratic functions have properties like axis of symmetry, vertex, intercepts, etc. that can be used to analyze and solve problems.
- They can be transformed through translations and stretches/shrinks

Look up! Look Down!

This document provides a strategic intervention material to help students learn about solving real-life problems involving right triangles using trigonometric ratios. It begins with definitions of key terms like line of sight, angle of elevation, and angle of depression. Students are given examples of problems involving these angles and their solutions. Later activities require students to illustrate problem situations, identify given information, formulas used, and solve problems determining unknown angles or distances. The material aims to supplement classroom learning and help students independently practice and understand solving right triangle problems.

MEASURES OF POSITION

1. The document provides information about measures of position (quartiles, deciles, percentiles) and how to calculate them. It gives an example of finding the first quartile (Q1), second quartile (Q2), and third quartile (Q3) from a data set of students' test scores.
2. Steps for calculating quartiles include arranging the data in order, dividing it into four equal parts, and finding the values that split the data into the 25th, 50th, and 75th percentiles.
3. Interpolation may be needed if the quartile value falls between two data points; this involves calculating the difference between points and multiplying by the decimal portion.

Permutations

1. The document contains examples and formulas for permutations and combinations. It discusses linear permutations, distinguishable permutations, circular permutations, and ring permutations.
2. One example asks how many five-letter words can be formed from a set of vowels and consonants if they must alternate with no repetition.
3. The combination formula is presented, and examples ask how to select teams and committees from groups of people.

Quadratic inequality

This document discusses solving quadratic inequalities. It provides examples of single-variable quadratic inequalities and explains how to find the solution set by first setting the inequality equal to an equation, solving for the roots, and then testing values within the intervals formed by the roots. The document also introduces quadratic inequalities with two variables and how to represent them. It defines a quadratic inequality and explains the process of solving them by relating it back to solving a quadratic equation.

Math 7 - 4th Quarter: Types of Sampling

This document discusses different types of sampling techniques used in data collection. It describes probability sampling methods like simple random sampling, stratified random sampling, cluster sampling, and systematic sampling. It also outlines non-probability sampling techniques such as convenience sampling, snowball sampling, judgemental sampling, and quota sampling. Examples are provided to illustrate how to identify the sampling method used in various scenarios involving selecting groups of students, inspecting food items, surveying constituencies, and more. The key information provided relates to common sampling techniques and how to determine which one is being employed in different research situations.

11.2 graphing linear equations in two variables

The document discusses how to graph linear equations and inequalities in two variables. It provides examples of graphing linear equations by plotting ordered pairs, finding intercepts, and using linear equations to model data. Specifically, it shows how to graph equations of the form y=mx+b, Ax+By=0, y=b, and x=a. It demonstrates finding intercepts and using them to graph equations. Finally, it gives an example of using a linear equation to model the monthly costs of a small business based on the number of products sold.

Math quiz bee_elimination

This document contains a quiz with math problems of varying difficulty levels: easy, average, and difficult. The easy problems are worth 1 point each and cover topics like the intersection of lines, factoring, algebraic expressions, evaluating expressions, and identifying quadrants and graphs. The average problems are worth 3 points each and involve factoring quadratics, simplifying expressions, and operations with monomials. The difficult problems are worth 5 points each and require solving systems of equations, finding areas of rectangles, identifying mathematicians, and identifying perfect square trinomials. An answer key is provided with the solutions.

Probability of Union of Two events

The document discusses mutually exclusive and non-mutually exclusive events. It provides examples to illustrate the difference, including examples involving drawing balls from a jar numbered 1-15 and rolling a die. It discusses how to calculate the probability of unions of events depending on whether they are mutually exclusive or not. Key points are that for mutually exclusive events, the probability of their union is the sum of their individual probabilities, while for non-mutually exclusive events it is the sum of their probabilities minus their intersection.

Midline Theorem Math 9.pptx

1. The document provides directions for drawing and cutting a triangle, then shading one of the resulting pieces. It defines the midline theorem and has students complete statements about the equal lengths of lines in a bisected triangle.
2. The document tests students on applying the midline theorem by having them calculate unknown line lengths based on given lengths. It also includes true/false questions and word problems about triangles.
3. The final problem asks students to calculate the new perimeter of a triangular farm if an adjacent lot is purchased that doubles the length of two sides of the original triangle.

Sample space, events, outcomes, and experiments

Probability is a branch of mathematics that deals with describing how likely events are to occur. An experiment is a process with uncertain outcomes, while an outcome is any possible result. The sample space is the set of all possible outcomes. Fundamental counting principles state that if one event can occur in m ways, a second in n ways, and a third in p ways, the total number of outcomes is m x n x p. Probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes.

Subsets of A Line

This will help you in differentiating subsets of a line such as line segments, ray and opposite rays. Also in finding the number of line segments and rays in a given line.
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1st Mathematics 7 Quiz Bee 2023.pptx

1. The document outlines the rules and questions for a 1st grade 7 mathematics quiz bee with 4 teams of 14 students each.
2. The contest will include 10 easy questions worth 1 point each, 5 average questions worth 3 points each, and 5 difficult questions worth 5 points each. Questions will be read twice and teams must write their final answer during the allotted time.
3. The questions range from basic arithmetic to simplifying polynomials and cover topics like exponents, coefficients, degrees of polynomials, evaluation, addition/multiplication of polynomials, and word problems. The highest scoring team will be awarded a certificate and extra credit in their final grade.

Module 4 Grade 9 Mathematics (RADICALS)

This document summarizes a module on rational exponents and radicals that was presented at a 2014 mid-year inset for secondary mathematics teachers. The module covered lessons on zero, negative integral and rational exponents, radicals, and solving radical equations. It provided examples of simplifying expressions using laws of exponents and radicals. Recommended teaching strategies included problem-solving activities and a group brainstorming activity to discuss critical content areas and difficulties from teacher and student perspectives.

COT-2-ANGLE-OF-ELEVATION-DEPRESSION.pptx

COT-2-ANGLE-OF-ELEVATION-DEPRESSION.pptx

union and intersection of events.ppt

union and intersection of events.ppt

Math 8 - Linear Inequalities in Two Variables

Math 8 - Linear Inequalities in Two Variables

Linear Equations and Inequalities in One Variable

Linear Equations and Inequalities in One Variable

Probability of Simple and Compound Events

Probability of Simple and Compound Events

Translating Expressions

Translating Expressions

Grade 9: Mathematics Unit 2 Quadratic Functions.

Grade 9: Mathematics Unit 2 Quadratic Functions.

Look up! Look Down!

Look up! Look Down!

MEASURES OF POSITION

MEASURES OF POSITION

Permutations

Permutations

Quadratic inequality

Quadratic inequality

Math 7 - 4th Quarter: Types of Sampling

Math 7 - 4th Quarter: Types of Sampling

11.2 graphing linear equations in two variables

11.2 graphing linear equations in two variables

Math quiz bee_elimination

Math quiz bee_elimination

Probability of Union of Two events

Probability of Union of Two events

Midline Theorem Math 9.pptx

Midline Theorem Math 9.pptx

Sample space, events, outcomes, and experiments

Sample space, events, outcomes, and experiments

Subsets of A Line

Subsets of A Line

1st Mathematics 7 Quiz Bee 2023.pptx

1st Mathematics 7 Quiz Bee 2023.pptx

Module 4 Grade 9 Mathematics (RADICALS)

Module 4 Grade 9 Mathematics (RADICALS)

Collection and Organization of Data.pptx

This document discusses different methods for collecting and organizing data in statistics. It describes collecting raw data through surveys, observations, and experiments. The data can be organized into frequency distribution tables by tallying the occurrences of each value. The data can also be grouped into class intervals to create a grouped frequency distribution. Cumulative frequencies can be determined by adding the frequencies of lower values to obtain an ogive graph. Stem-and-leaf plots provide another method to organize and visualize the data values.

Collection and Classification of Data

This document discusses the collection and classification of data. It defines primary and secondary data, with primary data being first-hand data collected by an enumerator through surveys or tests, and secondary data being previously collected data from sources like reports. It also describes different modes of collecting primary data like personal interviews, questionnaires, and phone interviews. Methods of collecting primary data include census/complete enumeration and sampling techniques like random and non-random sampling. Data can be classified in different ways like chronologically, spatially, quantitatively, or qualitatively. Ungrouped raw data can be arranged and grouped data is presented in frequency distribution tables with class intervals. Classification of data is important for comparing tests, students, systems, and making predictions

Sampling Techniques, Data Collection and tabulation in the field of Social Sc...

This document discusses various sampling techniques, data collection methods, and data analysis procedures used in social science research. It describes common probability and non-probability sampling techniques including simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Primary data collection methods like observation, interviews, questionnaires, and schedules are explained. Steps for processing raw data through editing, coding, classification, and tabulation are outlined. Common statistical analyses like measures of central tendency, dispersion, relationship and hypothesis testing are briefly mentioned.

Unit 1 - Statistics (Part 1).pptx

This document provides an introduction to statistics and data visualization. It discusses key topics including descriptive and inferential statistics, variables and types of data, sampling techniques, organizing and graphing data, measures of central tendency and variation, and random variables. Specifically, it defines statistics as collecting, organizing, summarizing, analyzing and making decisions from data. It also outlines the main differences between descriptive statistics, which describes data, and inferential statistics, which uses samples to make estimations about populations.

BASIC CONCEPTS in STAT 1 [Autosaved].pptx

This document provides an overview of key concepts in descriptive statistics, including:
- Descriptive statistics describe samples through simple summaries, while inferential statistics form conclusions from data.
- Parameters describe whole populations, while statistics describe samples.
- Data can be qualitative (names, categories) or quantitative (values, numbers).
- Variables in a study include the individuals/subjects and their measured characteristics.
- Variables can be independent (predictors), dependent (criteria), continuous, discrete, nominal, ordinal, interval, or ratio.
- Data sources include documents and field sources with expertise. Collection methods involve direct interaction, questionnaires, registration, observation, and experimentation.
- Sampling techniques include probability, restricted random

Data

This document discusses concepts related to data, including collection, organization, presentation, and analysis of data. It defines key terms like qualitative vs quantitative data and primary vs secondary data. It explains methods of collecting primary data through surveys, sampling techniques, and secondary data from published and unpublished sources. The document also covers organizing data through frequency distributions, statistical series, and presenting data in tabular, diagrammatic and graphical forms like pie charts, histograms, bar diagrams and ogives. It concludes with analyzing organized data through measures of central tendency, dispersion, correlation and regression.

Survey Method in Research

This document discusses the process of conducting surveys. It defines what a survey is and lists its key characteristics. The document outlines the main steps in conducting a survey, which include: defining the problem, identifying the target population, choosing the data collection mode, selecting a sample, preparing the instrument, pretesting the instrument, and training interviewers. It also discusses different types of surveys, sampling techniques, question formats, and other considerations for designing an effective survey.

1.-Lecture-Notes-in-Statistics-POWERPOINT.pptx

Statistics is the science of collecting, organizing, analyzing, and interpreting data. It involves numerical observations used to obtain meaningful information. Descriptive statistics describes a data set through methods like frequency distributions, while inferential statistics allows predictions and inferences about a population based on a sample subset. Key concepts in statistics include populations, samples, parameters, variables, and measurement scales such as nominal, ordinal, interval, and ratio scales. Common data collection methods are surveys, experiments, and observations. Organizing data in tables and graphs aids in analysis and interpretation.

Unit 4 editing and coding (2)

This document discusses data analysis and various techniques used in data analysis such as data editing, coding, classification, tabulation, and statistical analysis. It describes different types of statistical tests like z-test, t-test, chi-square test, and their uses. It also discusses various types of tables, diagrams, and graphical representations that are used to present statistical data in a meaningful way. Key types of diagrams mentioned include bar charts, pie charts, histograms and scatter plots. Rules for properly constructing tables and graphs are also provided.

Statistics lesson 1

Statistics involves collecting, organizing, analyzing, and interpreting data. Descriptive statistics describe characteristics of a data set through measures like central tendency and variability. Inferential statistics draw conclusions about a population based on a sample. Key terms include population, sample, parameter, statistic, data types, levels of measurement, and sampling techniques like simple random sampling. Common data gathering methods are interviews, questionnaires, and registration records. Data can be presented textually, in tables, or graphically through charts, graphs, and maps.

Statistics lesson 1

Statistics involves collecting, organizing, analyzing, and interpreting data. Descriptive statistics describe characteristics of a data set through measures like central tendency and variability. Inferential statistics draw conclusions about a population based on a sample. Key terms include population, sample, parameter, statistic, data types, levels of measurement, and sampling techniques like simple random sampling. Common data gathering methods are interviews, questionnaires, and registration records. Data can be presented textually, in tables, or graphically through charts, graphs, and maps.

Statistics and prob.

Statistics deals with the collection, organization, presentation, analysis, and interpretation of numerical data. Descriptive statistics summarize and describe data without generalizing, while inferential statistics makes generalizations using data. There are various methods for collecting data, including direct interviews, indirect questionnaires, observation, experimentation, and registration. Data can be presented textually, in tables, or graphically. Population is the total set of data, while a sample is a subset. A census collects all data while a survey uses a sample. Variables can be quantitative or qualitative, discrete or continuous. Measurement scales include nominal, ordinal, interval, and ratio levels. Sources of error include sampling errors from the sampling process and non-sampling errors from other factors.

Statistics

This document provides an overview of key concepts in statistics including:
1. Statistics involves collecting, organizing, analyzing, and interpreting data to make decisions. Data comes from observations, counts, or measurements.
2. A population is the entire group being studied, while a sample is a subset of the population. Parameters describe populations, while statistics describe samples.
3. Descriptive statistics involve summarizing and displaying data, while inferential statistics use samples to draw conclusions about populations.
4. Data can be qualitative (attributes) or quantitative (numbers). It can also be measured at the nominal, ordinal, interval, or ratio level.

2. week 2 data presentation and organization

Here are the answers to the questions:
A.
1. The variables in the graph are age (x-axis) and frequency (y-axis).
2. The variables are quantitative.
3. The variables are discrete.
4. No, a pie chart could not be used to display this data since it involves quantitative variables rather than categorical variables.
B.
1. A line graph would most appropriately represent the number of students enrolled at a local college for each year during the last 5 years. This involves two quantitative variables - years on the x-axis and enrollments on the y-axis.
2. A bar graph would most appropriately represent the frequency of each type of crime committed in

Probability in statistics

This document provides an outline for a Probability and Statistics course. It covers topics such as introduction to statistics, tabular and graphical representation of data, measures of central tendency and variation, probability, discrete and continuous distributions, and hypothesis testing. Descriptive statistics are used to summarize and describe data, while inferential statistics allow predictions and inferences about a larger data set based on a sample. Variables can be classified based on their scale of measurement as nominal, ordinal, interval, or ratio. Graphical representations include pie charts, histograms, bar graphs, and frequency polygons. Measures of central tendency include the mean, median, and mode.

statistics.pdf

Statistics is the science of collecting, organizing, summarizing, presenting, and analyzing numerical data. It has two main fields - descriptive statistics which summarizes data, and inferential statistics which makes generalizations beyond the data. There are different types of variables, sources of data, methods of data presentation including tables, graphs, and textual descriptions. Common statistical terms include population, sample, measurement, and classification of variables. Sampling allows studying a small part of the population and generalizing to the whole. Probability and non-probability sampling methods are described.

ANALYSIS OF DATA.pptx

Analysis of data
Generally Research analysis consists of two main steps :
Processing data.
Analysis of data
• The collected data may be adequate, valid and reliable to any extent. It does not serve any worth while purpose unless it is carefully edited, systematically classified, tabulated, scientifically analyzed, intelligently interpreted and rationally concluded.
I. Processing of data includes
Compilation
Editing
Coding
Classification
II. Analysis of Data

Data analysis presentation by Jameel Ahmed Qureshi

Presentation is made by the student of M.phil Jameel Ahmed Qureshi Faculty of Education Elsa Kazi campus Hyderabad UoS Jamshoron, This presentation is an assignment assign by the Dr. Mumtaz Khwaja

Methods of Data Collection, Sampling Techniques and Methods in Presenting Data

Methods of Data Collection, Sampling Techniques and Methods in Presenting DataRG Luis Vincent Gonzaga

This document discusses different methods for collecting data, sampling techniques, and presenting data. It describes four common methods for collecting data: observation, interviews, schedules, and questionnaires. It also explains probability and non-probability sampling techniques such as simple random sampling, stratified sampling, and convenience sampling. Finally, it reviews three methods for presenting data: using text, tables, and graphical representations like bar graphs, pie charts, and histograms.COLLECTION OF DATA.pptx

This document summarizes key concepts related to data collection including population and samples, primary and secondary data sources, methods of data collection like surveys and census, and potential sources of error. It discusses population as the total group being studied, and samples as subsets of the population. Primary data is collected first-hand while secondary data has already been collected. Methods include surveys, census, questionnaires, and interviews. Errors can occur from sampling or non-sampling issues like non-response. Several agencies in India are responsible for collecting government data.

Collection and Organization of Data.pptx

Collection and Organization of Data.pptx

Collection and Classification of Data

Collection and Classification of Data

Sampling Techniques, Data Collection and tabulation in the field of Social Sc...

Sampling Techniques, Data Collection and tabulation in the field of Social Sc...

Unit 1 - Statistics (Part 1).pptx

Unit 1 - Statistics (Part 1).pptx

BASIC CONCEPTS in STAT 1 [Autosaved].pptx

BASIC CONCEPTS in STAT 1 [Autosaved].pptx

Data

Data

Survey Method in Research

Survey Method in Research

1.-Lecture-Notes-in-Statistics-POWERPOINT.pptx

1.-Lecture-Notes-in-Statistics-POWERPOINT.pptx

Unit 4 editing and coding (2)

Unit 4 editing and coding (2)

Statistics lesson 1

Statistics lesson 1

Statistics lesson 1

Statistics lesson 1

Statistics and prob.

Statistics and prob.

Statistics

Statistics

2. week 2 data presentation and organization

2. week 2 data presentation and organization

Probability in statistics

Probability in statistics

statistics.pdf

statistics.pdf

ANALYSIS OF DATA.pptx

ANALYSIS OF DATA.pptx

Data analysis presentation by Jameel Ahmed Qureshi

Data analysis presentation by Jameel Ahmed Qureshi

Methods of Data Collection, Sampling Techniques and Methods in Presenting Data

Methods of Data Collection, Sampling Techniques and Methods in Presenting Data

COLLECTION OF DATA.pptx

COLLECTION OF DATA.pptx

Fundamental Operations.pptx

This document provides instruction on multiplying integers. It begins with the rules for multiplying integers:
1) Positive x Positive = Positive
2) Negative x Negative = Positive
3) Negative x Positive = Negative
4) Any Number x 0 = Zero
Examples are provided to illustrate each rule. The document emphasizes that if the signs are the same, the answer is positive, and if the signs are different, the answer is negative. Students then practice multiplying integers in a group activity before evaluating additional examples.

Q1-Week 1- SETS.pptx

This document defines key concepts in set theory including:
- A set is a collection of distinct objects or ideas defined by common attributes.
- A subset contains elements that are also elements of the universal set.
- Venn diagrams use circles to visually represent sets and the relationships between them.
- Set operations include union, intersection, and difference. The union of two sets contains all elements in either set. The intersection contains elements common to both sets.
- The cardinality of a set refers to the number of elements it contains, with finite sets having a natural number and infinite sets being uncountable.

TRIANGLE-INEQUALITY-THEOREM.pptx

The document discusses theorems related to triangle inequalities. It categorizes theorems into those involving one triangle or two triangles. For one triangle, it lists four theorems including the triangle inequality theorem and exterior angle inequality theorem. For two triangles, it mentions the hinge theorem and converse hinge theorem. It also provides examples applying the exterior angle theorem to find unknown angles.

bshsmangarapka-190629015719.pptx

education

Exterior Angles and Triangle Inequalities.pptx

This document discusses exterior angles of polygons and triangles. It defines exterior angles as angles formed when the sides of a polygon are extended beyond the interior angles. The exterior angle theorem states that the measure of an exterior angle of a triangle is equal to the sum of the measures of its two remote interior angles. Several examples demonstrate how to use the exterior angle theorem to calculate unknown angle measures.

Week 3 (04-06 thru 04-10) PowerPoint.pptx

This document defines and provides examples for calculating measures of central tendency (mean, median, mode) and variability (range) from a data set. It explains that the mean is the average found by adding all values and dividing by the count. The median is the middle number after ordering values. The mode is the most frequent value. The range is the difference between the highest and lowest values, measuring how spread out the data is. Examples are provided to demonstrate calculating each measure from sample data sets.

Geometry 07 Quadrilaterals and Other Polygons.pptx

This document provides an overview of polygons and their properties. It begins by defining polygons and discussing the interior and exterior angle sums of polygons. It then covers properties of parallelograms, including how to prove a quadrilateral is a parallelogram. Special types of parallelograms like rectangles, squares, and rhombuses are examined. Finally, the document looks at trapezoids, kites, and their defining properties. Examples and practice problems are provided throughout to illustrate the concepts.

Math-502-Modern-Plane-Geometry-CIRCLE.pptx

1. The document defines key terms related to circles such as radius, diameter, chord, arc, tangent, secant, and angles related to circles.
2. Theorems regarding relationships between arcs, chords, angles and segment lengths in circles are presented along with examples of applying the theorems.
3. Exercises are provided for students to work through applying the concepts and theorems to problem solving.

FOUNDATION-OF-EDUCATION-2.pptx

This document provides an overview of the philosophical foundations of education. It discusses how philosophy helps educators formulate beliefs and assumptions to make decisions about curriculum development. The document outlines some of the major philosophical approaches that influence education, including idealism, realism, pragmatism, and existentialism. It also discusses four educational philosophies: perennialism, essentialism, progressivism, and reconstructionism. Finally, it notes that philosophical foundations help determine the overall purpose of education and the roles of those involved by shaping the way goals and objectives are established for curriculum.

Classifying-Angles (1).pptx

This document discusses classifying and identifying different types of angles. It defines an angle as two rays that share an endpoint, called the vertex. There are four main types of angles: acute angles which are less than 90 degrees; right angles which are exactly 90 degrees; obtuse angles which are greater than 90 but less than 180 degrees; and straight angles which are exactly 180 degrees. The document provides examples of identifying different angles in illustrations and classifying them by type, as well as group activities for students to practice classifying and creating examples of different angle types.

pointlineplanepp.ppt

This document defines key geometry concepts and provides examples of naming points, lines, and planes and sketching their intersections. It begins by defining undefined terms in geometry like point and line, and defined terms like segment and ray. Examples are then given of naming collinear points, coplanar points, and different names for lines and planes. Further examples demonstrate sketching intersections between lines and planes, including lines within a plane, lines that do not intersect a plane, and lines intersecting a plane at a point. The final examples show sketching two planes intersecting in a line. Guided practice questions reinforce naming intersections and sketching relationships between geometric entities.

Fundamental Operations.pptx

Fundamental Operations.pptx

Q1-Week 1- SETS.pptx

Q1-Week 1- SETS.pptx

TRIANGLE-INEQUALITY-THEOREM.pptx

TRIANGLE-INEQUALITY-THEOREM.pptx

PERSONAL NA PAHAYAG NG MISYON SA BUHAY.pptx

PERSONAL NA PAHAYAG NG MISYON SA BUHAY.pptx

bshsmangarapka-190629015719.pptx

bshsmangarapka-190629015719.pptx

Exterior Angles and Triangle Inequalities.pptx

Exterior Angles and Triangle Inequalities.pptx

Week 3 (04-06 thru 04-10) PowerPoint.pptx

Week 3 (04-06 thru 04-10) PowerPoint.pptx

Geometry 07 Quadrilaterals and Other Polygons.pptx

Geometry 07 Quadrilaterals and Other Polygons.pptx

Math-502-Modern-Plane-Geometry-CIRCLE.pptx

Math-502-Modern-Plane-Geometry-CIRCLE.pptx

FOUNDATION-OF-EDUCATION-2.pptx

FOUNDATION-OF-EDUCATION-2.pptx

Classifying-Angles (1).pptx

Classifying-Angles (1).pptx

Nicole ppt final.pptx

Nicole ppt final.pptx

pointlineplanepp.ppt

pointlineplanepp.ppt

Lecture Notes Unit4 Chapter13 users , roles and privileges

Description:
Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO.
Key Topics Covered:
Main Topic : USERS, Roles and Privileges
In Oracle databases, users are individuals or applications that interact with the database. Each user is assigned specific roles, which are collections of privileges that define their access levels and capabilities. Privileges are permissions granted to users or roles, allowing actions like creating tables, executing procedures, or querying data. Properly managing users, roles, and privileges is essential for maintaining security and ensuring that users have appropriate access to database resources, thus supporting effective data management and integrity within the Oracle environment.
Sub-Topic :
Definition of User, User Creation Commands, Grant Command, Deleting a user, Privileges, System privileges and object privileges, Grant Object Privileges, Viewing a users, Revoke Object Privileges, Creation of Role, Granting privileges and roles to role, View the roles of a user , Deleting a role
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications.
URL for previous slides
chapter 8,9 and 10 : https://www.slideshare.net/slideshow/lecture_notes_unit4_chapter_8_9_10_rdbms-for-the-students-affiliated-by-alagappa-university/270123800
Chapter 11 Sequence: https://www.slideshare.net/slideshow/sequnces-lecture_notes_unit4_chapter11_sequence/270134792
Chapter 12 View : https://www.slideshare.net/slideshow/rdbms-lecture-notes-unit4-chapter12-view/270199683
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management.
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024.

C Interview Questions PDF By Scholarhat.pdf

C Interview Questions PDF By Scholarhat

FIRST AID PRESENTATION ON INDUSTRIAL SAFETY by dr lal.ppt

FIRST AID TRAINING PROGRAM

SQL Server Interview Questions PDF By ScholarHat

SQL Server Interview Questions PDF By ScholarHat

QCE – Unpacking the syllabus Implications for Senior School practices and ass...

QCE – Unpacking the syllabus
Implications for Senior School practices and assessment in 2025

Dr. Nasir Mustafa CERTIFICATE OF APPRECIATION "NEUROANATOMY"

CERTIFICATE OF APPRECIATION
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DURING THE JOINT ONLINE LECTURE SERIES HELD BY
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FROM JUNE 10TH TO JUNE 14TH, 2024

A beginner’s guide to project reviews - everything you wanted to know but wer...

A beginner’s guide to project reviews - everything you wanted to know but wer...Association for Project Management

APM event held on 9 July in Bristol.
Speaker: Roy Millard
The SWWE Regional Network were very pleased to welcome back to Bristol Roy Millard, of APM’s Assurance Interest Group on 9 July 2024, to talk about project reviews and hopefully answer all your questions.
Roy outlined his extensive career and his experience in setting up the APM’s Assurance Specific Interest Group, as they were known then.
Using Mentimeter, he asked a number of questions of the audience about their experience of project reviews and what they wanted to know.
Roy discussed what a project review was and examined a number of definitions, including APM’s Bok: “Project reviews take place throughout the project life cycle to check the likely or actual achievement of the objectives specified in the project management plan”
Why do we do project reviews? Different stakeholders will have different views about this, but usually it is about providing confidence that the project will deliver the expected outputs and benefits, that it is under control.
There are many types of project reviews, including peer reviews, internal audit, National Audit Office, IPA, etc.
Roy discussed the principles behind the Three Lines of Defence Model:, First line looks at management controls, policies, procedures, Second line at compliance, such as Gate reviews, QA, to check that controls are being followed, and third Line is independent external reviews for the organisations Board, such as Internal Audit or NAO audit.
Factors which affect project reviews include the scope, level of independence, customer of the review, team composition and time.
Project Audits are a special type of project review. They are generally more independent, formal with clear processes and audit trails, with a greater emphasis on compliance. Project reviews are generally more flexible and informal, but should be evidence based and have some level of independence.
Roy looked at 2 examples of where reviews went wrong, London Underground Sub-Surface Upgrade signalling contract, and London’s Garden Bridge. The former had poor 3 lines of defence, no internal audit and weak procurement skills, the latter was a Boris Johnson vanity project with no proper governance due to Johnson’s pressure and interference.
Roy discussed the principles of assurance reviews from APM’s Guide to Integrated Assurance (Free to Members), which include: independence, accountability, risk based, and impact, etc
Human factors are important in project reviews. The skills and knowledge of the review team, building trust with the project team to avoid defensiveness, body language, and team dynamics, which can only be assessed face to face, active listening, flexibility and objectively.
Click here for further content: https://www.apm.org.uk/news/a-beginner-s-guide-to-project-reviews-everything-you-wanted-to-know-but-were-too-afraid-to-ask/V2-NLC-Certificate-of-Completion_Learner.docx

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Latest School Calendar of the Department of Education (DepEd).
School Calendar 2024 DO_s2024_008.pdf

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The University of Ghana has launched a new vision and strategic plan, which will focus on transforming lives and societies through unparalleled scholarship, innovation, and result-oriented discoveries.

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A small guide for students to understand various opportunities that lies ahead of them in the SWAYAM NPTEL as a student of Silver Oak University.

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RDBMS Lecture Notes Unit4 chapter12 VIEW

Description:
Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO.
Key Topics Covered:
Main Topic : VIEW
Sub-Topic :
View Definition, Advantages and disadvantages, View Creation Syntax, View creation based on single table, view creation based on multiple table, Deleting View and View the definition of view
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications.
Previous Slides Link:
1. Data Integrity, Index, TAble Creation and maintenance https://www.slideshare.net/slideshow/lecture_notes_unit4_chapter_8_9_10_rdbms-for-the-students-affiliated-by-alagappa-university/270123800
2. Sequences : https://www.slideshare.net/slideshow/sequnces-lecture_notes_unit4_chapter11_sequence/270134792
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management.
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024.

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Lecture Notes Unit4 Chapter13 users , roles and privileges

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C Interview Questions PDF By Scholarhat.pdf

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SQL Server Interview Questions PDF By ScholarHat

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QCE – Unpacking the syllabus Implications for Senior School practices and ass...

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A beginner’s guide to project reviews - everything you wanted to know but wer...

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V2-NLC-Certificate-of-Completion_Learner.docx

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BỘ ĐỀ THI HỌC SINH GIỎI CÁC TỈNH MÔN TIẾNG ANH LỚP 9 NĂM HỌC 2023-2024 (CÓ FI...

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MathematicsGrade7-Presentation-July-12024.pptx

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- 1. GATHERING STATISTICAL DATA AND ORGANIZING DATA IN A FREQUENCY DISTRIBUTION TABLE
- 2. Aldrin has a part-time job at the Body Fit Gym. His boss wants to know the ages of the teenagers in the center’s taekwondo class. Aldrin records the ages of everyone in the class. Below are the ages of the teenagers. A.How many teenagers are attending the taekwondo class? B.What is the age of the oldest member of the taekwondo class? C.What is the age of the youngest member of the taekwondo class? D.How many teenagers belong to ages 13 to 15? E.How many students have an age greater than 15?
- 3. COLLECTION OF DATA • is an important part of Statistics. • Data should be collected in a manner that they are accurate and convenient to use.
- 4. DATA • is a collection of facts or information. They may be gathered by using the following methods. 1. Conducting Surveys Example: Teacher made a form and ask the students to fill out the previous grades and return the form to him/her.
- 5. 2. Observing the Outcomes of Events Example: Jessa wanted to find whether a die was fair or biased. She tossed the die 40 times and recorded the results.
- 6. 3. Taking measurements in experiments Example: The physicist and chemist conducted an experiment on how can saw dust be substituted for sand in the production of hollow blocks
- 7. 4. Reading Statistical Publication Example: Mr. Rivera check the date of birth of each student in the class registry.
- 8. METHODS USED IN THE COLLECTING DATA • Interview Method – this method of collecting data is an oral or verbal communication where the interviewer asks questions in any mode (face to face, telephone, or virtual) to an interviewee. The person gathering the data is called the interviewer, while the person supplying the data is the interviewee
- 9. METHODS USED IN THE COLLECTING DATA • Questionnaire Method – on this method data is gathered through a set of question that is mailed or handed to respondents who are expected to read and understand them. And the respondents then, write down their responses in the space provided the accomplished questionnaire is then returned for appropriate processing.
- 10. METHODS USED IN THE COLLECTING DATA • Observation Method – the data on this method are gathered either individually or collectively by means of observation. The person who gathers the data is called an investigator while the person being observed is called the subject.
- 11. METHODS USED IN THE COLLECTING DATA •Experiment Method – this method is used when the objective is to determine the cause and effect relationship of a certain phenomenon under controlled condition.
- 12. ORGANIZING DATA
- 13. STEPS IN CONSTRUCTING A FREQUENCY TABLE (FOR UNGROUPED DATA) • Step 1: Make three columns. Arrange the data in order in the first column. • Step 2: Make a tally. • Step 3: Count the tallies then write the frequencies • Step 4: Total all the frequencies
- 14. Example 1: Below are the results of a survey about the favorite colors of 15 students in a freshman class. What color is the most favorite of the students and the least favorite color? Solution: 1. Write the colors in the first column. 2. Make a tally. 3. Count the tallies then write the frequencies. 4. Total all the frequencies.
- 15. It shows that red is the most favorite color and violet is the least favorite color of the 15 students.
- 16. Example 2: An airline asked their passenger on a flight to rate the quality of their service. The table below shows the ratings of 24 passengers. Make a frequency distribution table of the data collected. How many passengers gave a rating of 3 and below?
- 17. STEPS IN CONSTRUCTING A FREQUENCY TABLE FOR A GIVEN UNGROUPED DATA TO BE TRANSFORMED AS A GROUPED DATA. 1. Determine the range. Range is the difference between the highest value H and the lowest value L in the set of data. R = H – L 2. Determine the desired number of the class interval or categories. The ideal number of class interval in somewhere between 5 and 15. 3. Determine the class width or approximate size of the class interval by dividing the range by the desired number of class intervals.
- 18. STEPS IN CONSTRUCTING A FREQUENCY TABLE FOR A GIVEN UNGROUPED DATA TO BE TRANSFORMED AS A GROUPED DATA. 4. Write the class intervals starting with the lowest lower value as determined in the data. Then add the class width to the starting point to get the next interval. Do this until the highest value is contained in the last interval. 5. Tally the corresponding number of scores in each interval. Then summarize the results or sum up the tallies under the frequency column.
- 19. Example 1: The following are the test scores of students. Construct a suitable frequency table. Use 6 as the desired number of class interval.
- 20. Example 2: The following are the weights (in lbs) of grade 7 students. Construct a frequency table using 7 as the desired number of class interval. How many students weigh more than 100 lbs?