Data Interpretation UGC NET - How to solve data interpretation problems quickly? If you are writing the NTA UGC NET exam, here are the tricks to solve the data interpretation section in UGC NET.
How to Prepare for Information TechnologySudheer Paidi
The document provides an overview and study tips for the Information Technology (IT) subject in the CA Intermediate exam. It discusses the need for studying IT given its prevalence. It outlines the course contents including topics like data storage, computer networks, internet technologies, flowcharting and decision tables. It provides strategies for studying each chapter effectively and tips for preparing well through periodic review. The document also discusses the different types of questions asked in the exam and rules for answering them clearly and concisely to score well.
Strategic IT Planning: The Implementation Plan
Assignment Part 2: 75 points
This is a two-part project.
Part one entails providing an outline of the 3-Step Process.
Part two entails providing a proposal paper using the Implementation Plan
Introduction
Strategic IT Planning is required to ensure your resources and assets continue providing the results and
the support your organization needs.
What is a Strategic Plan?
It is a roadmap to achieving a goal. It may cover your entire department or responsibility or it may focus
on a specific issue or element of your role. It can be long and involved or a simply one-page document
that provides guidance and steps you need to implement to achieve a goal.
Making it Happen
There are a few things that are important to your success. While it may seem that developing the
Strategic Plan is the hardest part, most plans fail because of the implementation. The key is to keep it
small and be successful, then build on that success for the next initiative. Don’t bite off too much or try
to be too ambitious.
• Take your time and keep it manageable
• Link your plan to your company’s strategy
• Justify your initiative and get buy-in and support
• Don’t re-invent, rebuild
• Go slow, manage change
• Set aside time from your operational responsibilities to make it happen
Without a Strategic Plan, you and your team won’t be effective and you won’t be able to get results, get
attention and get ahead.
Why you need an IT Strategy:
Redirect from tasks to opportunities and result
• Switch from fighting fires to preventing fires
• Reduce risk with planning and a longer view
Strategic Plans fail because it never gets written or because it is too complex.
Remember in Week 2 you used 3 questions to design your strategic plan outline.
Select a topic that you plan to defend via the strategic plan proposal, get topic approval from your
professor, and start finding resources as well as the steps you need to take to achieve your strategic
plan.
Note: Be sure to use terms, principles, strategies, and theories in your IT Strategy textbook.
1. Why do you need to do it? What is your goal?
2. What are the things you need to get done to achieve your goal?
3. How can you make those things happen?
By answering the 3 questions above, you will have the grounded baseline to developing an effective IT
Strategic Plan.
In Week 7, you will develop an implementation plan.
Develop an implementation plan
Once you have established your strategic plan using the 3-question process, you need to develop your
implementation plan. Select a topic that you plan to defend via the strategic plan proposal, get topioc
approval from your professor, and start finding resources as well as the steps you need to take to
achieve your strategic plan.
Based on your approved topic, complete the following statements/questions:
Note: Be sure to use terms, principles, strategi.
The document summarizes the key points from the first lecture of an economics data analysis course. It outlines the course logistics, including attendance policy, topics, textbooks, assignments, and exams. It also discusses what data analysis is, why it has become popular, and how data does not speak for itself without proper analysis. The software used in the course will be Stata.
This document provides information for the course "Introduction to Data Science" (ITEC-313) at Jazan University. The course is a required 3 credit hour course consisting of 2 hours of theory and 2 hours of lab per week. The course objectives are to describe data science and the needed skill sets, understand the data science process and how its components interact, carry out basic statistical modeling and analysis, and apply the data science process in a case study. Topics covered include data collection/integration, exploratory data analysis, predictive/descriptive modeling, and effective communication. The course aims to equip students with basic data science principles, concepts, techniques and tools. It will be assessed through assignments, exams, quizzes
Whether you are a beginner, a transient, or a data scientist, this plan addresses each individual's needs. You can learn data science in a year if you follow this process.
The document discusses the steps involved in the data science life cycle (DSLC). It describes the main steps as business understanding, data acquisition and understanding, modeling, deployment, and customer acceptance. It provides details on several of these steps, including business understanding, data acquisition and understanding, data modeling, and initial data exploration. The goal is to clearly outline the typical process and considerations for a data science project from defining the problem to exploring the available data.
How to avoid cutting yourself with the double edged sword of Testing Metrics.
- Pros and cons of working with metrics
- Plan a metrics program
- Tips and tricks of working with metrics.
For full webinar recording:
https://www.practitest.com/qa-learningcenter/webinars/testing-metrics/
How to Prepare for Information TechnologySudheer Paidi
The document provides an overview and study tips for the Information Technology (IT) subject in the CA Intermediate exam. It discusses the need for studying IT given its prevalence. It outlines the course contents including topics like data storage, computer networks, internet technologies, flowcharting and decision tables. It provides strategies for studying each chapter effectively and tips for preparing well through periodic review. The document also discusses the different types of questions asked in the exam and rules for answering them clearly and concisely to score well.
Strategic IT Planning: The Implementation Plan
Assignment Part 2: 75 points
This is a two-part project.
Part one entails providing an outline of the 3-Step Process.
Part two entails providing a proposal paper using the Implementation Plan
Introduction
Strategic IT Planning is required to ensure your resources and assets continue providing the results and
the support your organization needs.
What is a Strategic Plan?
It is a roadmap to achieving a goal. It may cover your entire department or responsibility or it may focus
on a specific issue or element of your role. It can be long and involved or a simply one-page document
that provides guidance and steps you need to implement to achieve a goal.
Making it Happen
There are a few things that are important to your success. While it may seem that developing the
Strategic Plan is the hardest part, most plans fail because of the implementation. The key is to keep it
small and be successful, then build on that success for the next initiative. Don’t bite off too much or try
to be too ambitious.
• Take your time and keep it manageable
• Link your plan to your company’s strategy
• Justify your initiative and get buy-in and support
• Don’t re-invent, rebuild
• Go slow, manage change
• Set aside time from your operational responsibilities to make it happen
Without a Strategic Plan, you and your team won’t be effective and you won’t be able to get results, get
attention and get ahead.
Why you need an IT Strategy:
Redirect from tasks to opportunities and result
• Switch from fighting fires to preventing fires
• Reduce risk with planning and a longer view
Strategic Plans fail because it never gets written or because it is too complex.
Remember in Week 2 you used 3 questions to design your strategic plan outline.
Select a topic that you plan to defend via the strategic plan proposal, get topic approval from your
professor, and start finding resources as well as the steps you need to take to achieve your strategic
plan.
Note: Be sure to use terms, principles, strategies, and theories in your IT Strategy textbook.
1. Why do you need to do it? What is your goal?
2. What are the things you need to get done to achieve your goal?
3. How can you make those things happen?
By answering the 3 questions above, you will have the grounded baseline to developing an effective IT
Strategic Plan.
In Week 7, you will develop an implementation plan.
Develop an implementation plan
Once you have established your strategic plan using the 3-question process, you need to develop your
implementation plan. Select a topic that you plan to defend via the strategic plan proposal, get topioc
approval from your professor, and start finding resources as well as the steps you need to take to
achieve your strategic plan.
Based on your approved topic, complete the following statements/questions:
Note: Be sure to use terms, principles, strategi.
The document summarizes the key points from the first lecture of an economics data analysis course. It outlines the course logistics, including attendance policy, topics, textbooks, assignments, and exams. It also discusses what data analysis is, why it has become popular, and how data does not speak for itself without proper analysis. The software used in the course will be Stata.
This document provides information for the course "Introduction to Data Science" (ITEC-313) at Jazan University. The course is a required 3 credit hour course consisting of 2 hours of theory and 2 hours of lab per week. The course objectives are to describe data science and the needed skill sets, understand the data science process and how its components interact, carry out basic statistical modeling and analysis, and apply the data science process in a case study. Topics covered include data collection/integration, exploratory data analysis, predictive/descriptive modeling, and effective communication. The course aims to equip students with basic data science principles, concepts, techniques and tools. It will be assessed through assignments, exams, quizzes
Whether you are a beginner, a transient, or a data scientist, this plan addresses each individual's needs. You can learn data science in a year if you follow this process.
The document discusses the steps involved in the data science life cycle (DSLC). It describes the main steps as business understanding, data acquisition and understanding, modeling, deployment, and customer acceptance. It provides details on several of these steps, including business understanding, data acquisition and understanding, data modeling, and initial data exploration. The goal is to clearly outline the typical process and considerations for a data science project from defining the problem to exploring the available data.
How to avoid cutting yourself with the double edged sword of Testing Metrics.
- Pros and cons of working with metrics
- Plan a metrics program
- Tips and tricks of working with metrics.
For full webinar recording:
https://www.practitest.com/qa-learningcenter/webinars/testing-metrics/
Elementary Data Analysis with MS excel_Day-1Redwan Ferdous
This document provides an overview of an elementary data analysis course using MS Excel. The 6-day course will introduce basic concepts like data, data types, and data analysis processes. It will cover collecting, cleaning, and analyzing data in Excel. Topics will include functions, formulas, charts, pivot tables, and more. The goal is to help professionals and students better understand and utilize data through hands-on Excel training and examples.
Method of Solving Complex Logic Homework Lesa Cote
The logic used to define the principles of correct reasoning, a different type of methods of solving complex logic homework are discussed in these slides.
Webquest Descriptive Statistics of the NCAAsrthomas
This WebQuest assignment uses descriptive statistics to analyze the performance of NCAA men's basketball teams from the Big 10 conference. Students are divided into groups and assigned roles to research statistics on 2-4 favorite teams, calculate descriptive statistics, conduct statistical tests, create visualizations, and present their findings. The goal is for students to apply their statistical knowledge to real-world sports data and communicate their analysis.
This WebQuest assignment uses descriptive statistics to analyze the performance of NCAA men's basketball teams from the Big 10 conference. Students are divided into groups and assigned roles to research statistics on 2-4 teams, calculate descriptive statistics, conduct statistical tests, create visualizations, and present their findings. The goal is for students to apply their statistical knowledge to real-world sports data and communicate their analysis.
This WebQuest assigns students to analyze descriptive statistics of NCAA basketball teams. Students will be grouped and each assigned a role, such as researcher or statistician. They will use websites to find statistics on 2-4 Big 10 teams. Students will then calculate descriptive statistics, conduct tests, create visuals, and present their findings. The goal is for students to apply their knowledge of descriptive statistics to real sports data.
The study examined whether students in MIT's Course 6 (Electrical Engineering and Computer Science) placed less emphasis on users' interests in design compared to other MIT students. A design scenario and open-ended questions were used to assess user-centeredness. Results showed Course 6 students scored significantly lower on questions about prototype iteration and design success criteria, though not initially on problem exploration. This suggests the technical curriculum decreases consideration of users' needs in later design stages. Limitations included sampling bias and need for more diverse studies.
This document provides instructions for an assignment assessing students' analysis of a state's campus technology assessment tool. Students are asked to analyze the Texas Campus STaR Chart, which evaluates schools' progress in four technology domains. Students must access the online STaR Chart, analyze data for their selected campus over three years, and answer questions about strengths, weaknesses, and areas for discussion. They are also instructed to create an educational blog and make posts on technology assessment and their campus STaR Chart findings. The assignment will be evaluated based on criteria such as thoroughness, use of evidence, and writing mechanics.
The document provides guidance for preparing for and succeeding in a technical interview for a business analyst role. It discusses understanding the interview context in advance, preparing by brushing up on relevant skills and thinking through sample scenarios and questions, and tips for impressing during the actual interview. The document includes worksheets, sample questions, lists of common skills and topics assessed, and recommendations for structuring responses and having fun while displaying confidence, enthusiasm and ability to explain one's experience.
This document provides guidance on how to become a competent data professional. It discusses the various types of data careers and skills required, including problem solving, statistics, programming, communication and business skills. It recommends taking online courses and finding a mentor, as well as gaining hands-on experience through competitions like Kaggle. With 5-6 years of consistent practice spending several hours per day learning, one can become competent in data skills. The document also addresses common questions for beginners and provides tips for progression in a data career.
(1) The document discusses a proposed 30-minute data dialogue process between teachers and principals to efficiently analyze classroom data and improve student outcomes.
(2) The process involves 7 steps: set expectations, observe and discuss data, evaluate curriculum, ask curriculum questions, identify student strengths/weaknesses, create an action step, and set next steps.
(3) The goal is to develop facilitation skills for efficient classroom data evaluation discussions and pilot the 30-minute dialogue process to improve teaching practice based on data analysis.
The document provides tips for answering exam questions in Business Studies. It discusses examining marking schemes, managing time, showing calculations, and making study tools. Specifically:
1) It advises checking the number of marks for each question to determine the appropriate level of detail needed in answers. More marks indicate more analysis is required.
2) It stresses the importance of time management, as Paper 1 questions require analytical responses despite being short. Students should focus first on easier questions.
3) Students must show their working when calculations are involved, to receive full marks.
The document discusses various formulas and functions that can be used in Microsoft Excel spreadsheets. It includes instructions on how to create formulas using the Function Wizard, conditional formatting, and IF functions. Students are divided into groups to practice creating different formulas, such as using SUM, AVERAGE, MIN, and MAX functions. They also practice setting up conditional formatting to highlight cell values above a certain threshold and using IF functions to return pass/fail results based on cell criteria. The document provides a step-by-step guide for students to effectively use formulas and functions in Excel.
Exploring Features and Stories for shared understanding workshopJanet Gregory
90 minute workshop to explore tools like the 7 Product Dimensions to help build shared understanding of a feature or story. Given at European Testing Conference 2020
This document provides information about online surveys and using Google Forms to create online surveys. It discusses that online surveys are an innovative, easier and faster way to deliver, collect, and analyze survey results using online systems. It then outlines the steps to create a survey using Google Forms, including logging into a Google account, clicking Forms, setting up the survey, adding and editing questions, and distributing the survey. Question types for Google Forms are also listed.
CSIR-UGC-NET-TIPS and Tricks to prepare Part A - Aptitude and ReasoningMeenakshisundaram N
This document provides tips and strategies for preparing for the CSIR-UGC NET exam. It discusses the exam pattern, important topics to focus on, and general preparation steps. The key points are:
1. Familiarize yourself with the exam pattern, prioritize important topics from previous papers, and set a target score.
2. Develop a study plan that focuses on high-priority topics from previous papers, spends 1-1.5 hours daily on Part A, and uses time management strategies.
3. Practice is key - analyze previous papers, use different strategies for different question types, and take mock tests to assess weaknesses.
MAT115 ProjectFall 201630 pointsDue Monday December 12, 2016.docxdrennanmicah
MAT115 Project
Fall 2016
30 points
Due Monday December 12, 2016
Using the data collected by your peers, preform all appropriate statistical analyses (graphical, numerical summaries, tests, Confidence Intervals, etc.) to test the following:
1.
Is a MAT115 student’s GPA affected by the number of days a week they get less than 5 hours of sleep?
2.
According to the Bureau of Labor Statistics’ American Time Use Survey, college students spend 3.3 hours a day engaged in educational activities. Is the number of hours MAT115 students spend a day engaged in educational activities greater than 3.3?
3.
According to the Bureau of Labor Statistics’ American Time Use Survey, college students spend 0.8 hours a day grooming. Does the number of hours MAT115 students spend a day grooming differ from 0.8? Assume ơ=0.5.
4.
According to the U.S. Department of Transportation, 45% of people get their driver’s license before they turn 18. Is the percentage of MAT115 students who got their driver’s license before they turned 18 greater than 45%?
5.
Does the number of hours a dayDA students spend watching Netflix differ from the number of hours a day DB students spend watching Netflix?
The project will be graded based on the following:
1.
Assumptions
-
Ability to make and evaluate important assumptions in data analysis
2.
Representation
-
Ability to convert relevant information into various form
at
s (e.g.,
diagrams, tables, words,
equations, graphs
)
3.
Calculation
s
Note: No work associated with any mathematical computations should be included in the write up for any question.
4.
In
terpretation
-
Ability to explain
quantitative
information presented in
various formats
(e.g., diagrams, tables, words
, equations, graphs
)
5.
Application / Analysis
-
Ability to make judgments and draw appropriate conclusions based on the quantitative analysis of data, while recognizing the limits of this analysis
6.
Communication
-
Expressing quantitative evidence in support of the argument or purpose of the work (in terms of what evidence is used and how it is formatted, presented, and contextualized)
Excel Commands:
Statistic
Excel Command
Median
=median(startdata:enddata)
Mean
=average(startdata:enddata)
Standard Deviation
=stdev(startdata:enddata)
Correlation
=correl(starty:endy,startx:endx)
Slope
=slope(starty:endy,startx:endx)
Y-intercept
=intercept(starty:endy,startx:endx)
MAT115
Days Wk Sleep < 5
GPA
Hrs day Ed Activities
Hrs day Groom
License before 18
Hrs day Netflix
DA
0
3.214
2
3
Yes
3
DA
5
2.47
2
0.5
Yes
0
DA
1
3.89
4
0.5
No
1
DA
2
2.8
3
1
No
4.5
DA
0
3.15
6
1
No
0
DA
0
3.3
2
1
Yes
0
DA
2
3.4
8
1
Yes
1
DA
2
3.5
6
1
Yes
1
DA
1
3.31
3
0.75
Yes
1
DA
4
2.67
10
2.5
Yes
0
DA
0
3.5
5
1.5
Yes
2
DA
3
3.4
4
2
No
4
DA
1
3.6
2
1
Yes
2
DA
3
3.8
2
1
Yes
0
DA
2
3.8
8
2
No
2
DA
0
2.6
2
1
No
0
DA
3
3.68
0
1
Yes
1
DA
0
3.97
2
1
No
2
DA
0
3.57
5
2
Yes
0
DA
0
3.1
4
1
No
0
DA
3
2.7
2
0
No
0
DA
2
3.5
2
0
Yes
0
DB
5
2.7
3
0.75
No
0
DB
0
3.56
5
3
No
2.5
DB
0
.
This document discusses techniques for processing and presenting data. It explains that data should be edited to check for accuracy and consistency, coded to organize qualitative data numerically, and tabulated by arranging it in tables. The document then describes three methods for presenting data: textual presentation using paragraphs, tabular presentation arranging data in tables, and graphical presentation using visuals like charts and graphs. It provides examples of each presentation method and emphasizes that data should be logically organized and clearly presented to facilitate interpretation.
This document provides information about a course on fundamentals of data structures taught at JSPM's Jayawantrao Sawant College of Engineering in Pune, India. The 3-credit course is a prerequisite for the data structures laboratory companion course. Key topics covered include linear and non-linear data structures, algorithms, complexity analysis, and specific data structures like arrays, linked lists, stacks, and queues. The course aims to provide foundations for implementing and using data structures and algorithms to solve problems. On completing the course, students should be able to design algorithms, discriminate data structure usage, and understand various data representation and processing methods.
1) Teachers were asked to complete an item analysis tool to identify the most missed items on assessments and analyze possible student misconceptions. They were also to consider tasks that could help develop student understanding.
2) The group discussed creating rich learning experiences aligned to the Common Core State Standards, including using higher-order thinking skills and mathematical practices like problem-solving.
3) Attendees were given strategies for modifying questioning practices to better engage students in the Standards, such as asking "what if" questions or having students generate their own questions from answers.
UGC NET Law Syllabus 2022 - Books, Eligibility, Question Papers & TipAnjali Singh
Here you can get a detailed guide on UGC NET Law Exam 2022 provided by Eduncle. And, also detailed Syllabus, Study Material, & Preparation Tips to crack the exam. If you want to start your career as a JRF or Assistant Professor, you should go for the UGC NET 2022 Exam.
CSIR NET Application Form 2022 Out: Notification ReleasedAnjali Singh
Know complete details with Eduncle about CSIR NET June 2022 Notification – Eligibility, Exam Details, Dates & Application Procedure
NTA CSIR UGC NET Registration 2022 Begins: Get Direct Link to Apply Online
Eligible candidates can apply online from 11th July 2022 to 10th August 2022. National Testing Agency (NTA) conducts the Joint CSIR-UGC NET Exam for determining the eligibility of Indian Nationals for the award of Junior Research Fellowships (JRF) and for determining eligibility for appointment as Lecturer (LS) in the areas of Chemical Sciences, Earth, Atmospheric, Ocean and Planetary Sciences, Life Sciences, Mathematical Sciences, Physical Sciences.
Elementary Data Analysis with MS excel_Day-1Redwan Ferdous
This document provides an overview of an elementary data analysis course using MS Excel. The 6-day course will introduce basic concepts like data, data types, and data analysis processes. It will cover collecting, cleaning, and analyzing data in Excel. Topics will include functions, formulas, charts, pivot tables, and more. The goal is to help professionals and students better understand and utilize data through hands-on Excel training and examples.
Method of Solving Complex Logic Homework Lesa Cote
The logic used to define the principles of correct reasoning, a different type of methods of solving complex logic homework are discussed in these slides.
Webquest Descriptive Statistics of the NCAAsrthomas
This WebQuest assignment uses descriptive statistics to analyze the performance of NCAA men's basketball teams from the Big 10 conference. Students are divided into groups and assigned roles to research statistics on 2-4 favorite teams, calculate descriptive statistics, conduct statistical tests, create visualizations, and present their findings. The goal is for students to apply their statistical knowledge to real-world sports data and communicate their analysis.
This WebQuest assignment uses descriptive statistics to analyze the performance of NCAA men's basketball teams from the Big 10 conference. Students are divided into groups and assigned roles to research statistics on 2-4 teams, calculate descriptive statistics, conduct statistical tests, create visualizations, and present their findings. The goal is for students to apply their statistical knowledge to real-world sports data and communicate their analysis.
This WebQuest assigns students to analyze descriptive statistics of NCAA basketball teams. Students will be grouped and each assigned a role, such as researcher or statistician. They will use websites to find statistics on 2-4 Big 10 teams. Students will then calculate descriptive statistics, conduct tests, create visuals, and present their findings. The goal is for students to apply their knowledge of descriptive statistics to real sports data.
The study examined whether students in MIT's Course 6 (Electrical Engineering and Computer Science) placed less emphasis on users' interests in design compared to other MIT students. A design scenario and open-ended questions were used to assess user-centeredness. Results showed Course 6 students scored significantly lower on questions about prototype iteration and design success criteria, though not initially on problem exploration. This suggests the technical curriculum decreases consideration of users' needs in later design stages. Limitations included sampling bias and need for more diverse studies.
This document provides instructions for an assignment assessing students' analysis of a state's campus technology assessment tool. Students are asked to analyze the Texas Campus STaR Chart, which evaluates schools' progress in four technology domains. Students must access the online STaR Chart, analyze data for their selected campus over three years, and answer questions about strengths, weaknesses, and areas for discussion. They are also instructed to create an educational blog and make posts on technology assessment and their campus STaR Chart findings. The assignment will be evaluated based on criteria such as thoroughness, use of evidence, and writing mechanics.
The document provides guidance for preparing for and succeeding in a technical interview for a business analyst role. It discusses understanding the interview context in advance, preparing by brushing up on relevant skills and thinking through sample scenarios and questions, and tips for impressing during the actual interview. The document includes worksheets, sample questions, lists of common skills and topics assessed, and recommendations for structuring responses and having fun while displaying confidence, enthusiasm and ability to explain one's experience.
This document provides guidance on how to become a competent data professional. It discusses the various types of data careers and skills required, including problem solving, statistics, programming, communication and business skills. It recommends taking online courses and finding a mentor, as well as gaining hands-on experience through competitions like Kaggle. With 5-6 years of consistent practice spending several hours per day learning, one can become competent in data skills. The document also addresses common questions for beginners and provides tips for progression in a data career.
(1) The document discusses a proposed 30-minute data dialogue process between teachers and principals to efficiently analyze classroom data and improve student outcomes.
(2) The process involves 7 steps: set expectations, observe and discuss data, evaluate curriculum, ask curriculum questions, identify student strengths/weaknesses, create an action step, and set next steps.
(3) The goal is to develop facilitation skills for efficient classroom data evaluation discussions and pilot the 30-minute dialogue process to improve teaching practice based on data analysis.
The document provides tips for answering exam questions in Business Studies. It discusses examining marking schemes, managing time, showing calculations, and making study tools. Specifically:
1) It advises checking the number of marks for each question to determine the appropriate level of detail needed in answers. More marks indicate more analysis is required.
2) It stresses the importance of time management, as Paper 1 questions require analytical responses despite being short. Students should focus first on easier questions.
3) Students must show their working when calculations are involved, to receive full marks.
The document discusses various formulas and functions that can be used in Microsoft Excel spreadsheets. It includes instructions on how to create formulas using the Function Wizard, conditional formatting, and IF functions. Students are divided into groups to practice creating different formulas, such as using SUM, AVERAGE, MIN, and MAX functions. They also practice setting up conditional formatting to highlight cell values above a certain threshold and using IF functions to return pass/fail results based on cell criteria. The document provides a step-by-step guide for students to effectively use formulas and functions in Excel.
Exploring Features and Stories for shared understanding workshopJanet Gregory
90 minute workshop to explore tools like the 7 Product Dimensions to help build shared understanding of a feature or story. Given at European Testing Conference 2020
This document provides information about online surveys and using Google Forms to create online surveys. It discusses that online surveys are an innovative, easier and faster way to deliver, collect, and analyze survey results using online systems. It then outlines the steps to create a survey using Google Forms, including logging into a Google account, clicking Forms, setting up the survey, adding and editing questions, and distributing the survey. Question types for Google Forms are also listed.
CSIR-UGC-NET-TIPS and Tricks to prepare Part A - Aptitude and ReasoningMeenakshisundaram N
This document provides tips and strategies for preparing for the CSIR-UGC NET exam. It discusses the exam pattern, important topics to focus on, and general preparation steps. The key points are:
1. Familiarize yourself with the exam pattern, prioritize important topics from previous papers, and set a target score.
2. Develop a study plan that focuses on high-priority topics from previous papers, spends 1-1.5 hours daily on Part A, and uses time management strategies.
3. Practice is key - analyze previous papers, use different strategies for different question types, and take mock tests to assess weaknesses.
MAT115 ProjectFall 201630 pointsDue Monday December 12, 2016.docxdrennanmicah
MAT115 Project
Fall 2016
30 points
Due Monday December 12, 2016
Using the data collected by your peers, preform all appropriate statistical analyses (graphical, numerical summaries, tests, Confidence Intervals, etc.) to test the following:
1.
Is a MAT115 student’s GPA affected by the number of days a week they get less than 5 hours of sleep?
2.
According to the Bureau of Labor Statistics’ American Time Use Survey, college students spend 3.3 hours a day engaged in educational activities. Is the number of hours MAT115 students spend a day engaged in educational activities greater than 3.3?
3.
According to the Bureau of Labor Statistics’ American Time Use Survey, college students spend 0.8 hours a day grooming. Does the number of hours MAT115 students spend a day grooming differ from 0.8? Assume ơ=0.5.
4.
According to the U.S. Department of Transportation, 45% of people get their driver’s license before they turn 18. Is the percentage of MAT115 students who got their driver’s license before they turned 18 greater than 45%?
5.
Does the number of hours a dayDA students spend watching Netflix differ from the number of hours a day DB students spend watching Netflix?
The project will be graded based on the following:
1.
Assumptions
-
Ability to make and evaluate important assumptions in data analysis
2.
Representation
-
Ability to convert relevant information into various form
at
s (e.g.,
diagrams, tables, words,
equations, graphs
)
3.
Calculation
s
Note: No work associated with any mathematical computations should be included in the write up for any question.
4.
In
terpretation
-
Ability to explain
quantitative
information presented in
various formats
(e.g., diagrams, tables, words
, equations, graphs
)
5.
Application / Analysis
-
Ability to make judgments and draw appropriate conclusions based on the quantitative analysis of data, while recognizing the limits of this analysis
6.
Communication
-
Expressing quantitative evidence in support of the argument or purpose of the work (in terms of what evidence is used and how it is formatted, presented, and contextualized)
Excel Commands:
Statistic
Excel Command
Median
=median(startdata:enddata)
Mean
=average(startdata:enddata)
Standard Deviation
=stdev(startdata:enddata)
Correlation
=correl(starty:endy,startx:endx)
Slope
=slope(starty:endy,startx:endx)
Y-intercept
=intercept(starty:endy,startx:endx)
MAT115
Days Wk Sleep < 5
GPA
Hrs day Ed Activities
Hrs day Groom
License before 18
Hrs day Netflix
DA
0
3.214
2
3
Yes
3
DA
5
2.47
2
0.5
Yes
0
DA
1
3.89
4
0.5
No
1
DA
2
2.8
3
1
No
4.5
DA
0
3.15
6
1
No
0
DA
0
3.3
2
1
Yes
0
DA
2
3.4
8
1
Yes
1
DA
2
3.5
6
1
Yes
1
DA
1
3.31
3
0.75
Yes
1
DA
4
2.67
10
2.5
Yes
0
DA
0
3.5
5
1.5
Yes
2
DA
3
3.4
4
2
No
4
DA
1
3.6
2
1
Yes
2
DA
3
3.8
2
1
Yes
0
DA
2
3.8
8
2
No
2
DA
0
2.6
2
1
No
0
DA
3
3.68
0
1
Yes
1
DA
0
3.97
2
1
No
2
DA
0
3.57
5
2
Yes
0
DA
0
3.1
4
1
No
0
DA
3
2.7
2
0
No
0
DA
2
3.5
2
0
Yes
0
DB
5
2.7
3
0.75
No
0
DB
0
3.56
5
3
No
2.5
DB
0
.
This document discusses techniques for processing and presenting data. It explains that data should be edited to check for accuracy and consistency, coded to organize qualitative data numerically, and tabulated by arranging it in tables. The document then describes three methods for presenting data: textual presentation using paragraphs, tabular presentation arranging data in tables, and graphical presentation using visuals like charts and graphs. It provides examples of each presentation method and emphasizes that data should be logically organized and clearly presented to facilitate interpretation.
This document provides information about a course on fundamentals of data structures taught at JSPM's Jayawantrao Sawant College of Engineering in Pune, India. The 3-credit course is a prerequisite for the data structures laboratory companion course. Key topics covered include linear and non-linear data structures, algorithms, complexity analysis, and specific data structures like arrays, linked lists, stacks, and queues. The course aims to provide foundations for implementing and using data structures and algorithms to solve problems. On completing the course, students should be able to design algorithms, discriminate data structure usage, and understand various data representation and processing methods.
1) Teachers were asked to complete an item analysis tool to identify the most missed items on assessments and analyze possible student misconceptions. They were also to consider tasks that could help develop student understanding.
2) The group discussed creating rich learning experiences aligned to the Common Core State Standards, including using higher-order thinking skills and mathematical practices like problem-solving.
3) Attendees were given strategies for modifying questioning practices to better engage students in the Standards, such as asking "what if" questions or having students generate their own questions from answers.
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2. Data Interpretation is one of the most important and easy topics for the
UGC NET Paper 1 Exam. It holds around 10 marks in the exam with the
occurrence of 5 questions from this single section.
The Data Interpretation questions that come in UGC NET are not as
tough as in the Government Competitive Exams, but their difficulty level
remains high.
3. Tricks to Solve Data Interpretation Section in
UGC NET
UGC NET Data Interpretation questions
would never be as easier as you think. From
moderate to from high difficulty level, the
questions picked from Data Interpretation
section would always be tricky to solve.
4. Important Topics under UGC NET General Aptitude Data Interpretation
Section
As per the UGC NET Syllabus for paper 1, there are around 10-12 major topics for exam perspective.
• Sources, acquisition, and interpretation of data
• Quantitative and qualitative data
• Graphical representation and mapping of data
• Bar Chart
• Gantt Chart
• Line Chart
• Pie Chart
• Polygraphs
• Maps
• Pictograms
• Flow Chart and Organization Chart
5. Out of the above topics, the students can start
study/practice DI questions in the following order –
• Table based DI
• Pie Chart
• Line Graph
• Bar Chart
6. Solve Data Interpretation Questions in Minutes
with These Experts Recommended Techniques
1. The majority of questions asked in the Data interpretation, Section is based on the
following topics of the Arithmetic Section.
(i) Ratios
(ii) Averages
(iii) Percentage
If the basics of these topics are clear, attempting DI in the UGC NET Question
Paper becomes comparatively easy.
2. Data Interpretation questions are based on the information given in tables and
graphs.
These questions test your ability to interpret the information presented and to select the
appropriate data for answering a question.
7. 3. Analyze and read the given question as well as its information carefully. This will help you
in framing the right answer within minutes.
4. Avoid lengthy calculations! Generally, data interpretation questions do not require
extensive calculations and computations.
Most questions simply require reading the data correctly and putting things together to use
them directly with common sense.
5. Break down lengthy questions into smaller parts and eliminate impossible choices.
6. Use only the information given and your knowledge of everyday facts, such as the
number of hours in a day, to answer the questions based on tables and graphs.
7. Stick to the question and its requirements. Don’t go with the assumptions, otherwise, you
may lead to the wrong answer and lose your marks.
8. Be careful while dealing with units.
9. To make reading easier and to avoid errors, observe graphs while keeping them straight.
8. 10. Be prepared to apply basic mathematical rules, principles and formulae.
11. Since one of the major benefits of graphs and tables is that they present data in a form
that enables you to readily make comparisons. Use this visual attribute of graphs and tables
to help you answer the questions. Where possible, use your eyes instead of your
computational skills.
12. Practice, Practice, Practice: The last but the most important piece of advice. Practicing
questions will help you in two ways:
9. UGC NET Paper 1
Data
Interpretation -
Daily Time
Management Plan
for 15 Days of
Learning
Spend 2 hours daily till 15 days
and you’re done with the UGC
NET Paper 1 Data Interpretation
Topic. Try to save morning and
evening hours for better
practicing.
UGC NET Papers
Paper 1 Question Papers 2020 (June)
Paper 1 Question Papers 2019 (June & December)
General Paper 1 Questions 2018 (July & December)
10. Thank You!
Also, check out the Last-minute tips for UGC NET Exam to never skip the
things which can boost your scores only with the last-minute preparation.
We hope that the Data Interpretation Guide for NTA NET General Paper 1
would surely help you in mastering the formulas, methods, and core
concepts.
If you have any queries then please drop us them in the comments box below.