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[Critical Thinking]
1. Who says so – who is the one who is publishing the result? Do they have anything to gain from the result
2. How does he know – how did they measure this result?
3. Was there any sampling bias?
4. Did someone change the subject – Are the cause and effect getting muddled?
Does it make sense?
Research
1
Research
Student’s Name
University Affiliation
This is what my professor sent us yesterday through e-mail.
“Your response should look like this:
1. Introduction: Brief description of the study including the purpose and importance of the research question being asked.
Include your response in paragraph form here.
2. What is the null hypothesis? What is the research hypothesis?
Include your response in paragraph form here.
etc.
This format should help you to address EVERY question asked and it helps me in grading.
You should also be defining the statistical test, its requirements, etc and providing an intext citation for this summary. For example: What is a t test? When should it be used? What are the requirements? Why is the particular test appropriate to answer your research hypothesis? “
Research Hypothesis
Students who take breakfast perform better in class that those who don’t (FRAGMENT SENTENCE)
Research question
Does talking breakfast improve the class performance of a student?
Introduction
This research is meant to bring out the relationship between two variables and state how one affects the other. It has a dependent variable as well as independent variables. It should determine whether or not taking breakfast affects the class performance of a student.
Null hypothesis
Talking breakfast does not improve class performance of a student (SPELLING AND PUNCTUATION)
Sampling method
The method used to come up with the sample was the random sampling method. It is because it is unbiased and each unit of the population has an equal chance to be selected and used for the study. There is the assurance that the population will be equally sampled. (REWORD BECAUSE IT IS AWKAWARD)
Sample size
Determination of the right sample size is important because it makes the result of the research more true and reliable. 100 students were selected randomly for the purpose of the research.
Population of interest
The population that was targeted by this research is the entire student body. But since it is not practical to study every unit of the population, the sample was selected to represent the whole population. (YOU CANNOT START THE SENTENCE WITH “BUT” SINCE IT’S A RESEARCH PAPER) The sample size is big enough to represent the real picture depicted by the population under study.
Data analysis
The data was randomly collected from the students in order to create a sample to be used for the study. The data that was collected was analyzed so that to determine if there exists (REWORD) any relationship between breakfast and class performance.
Statistical analysis
This research is to determine the relationship between variables. Correlation refers to how strong two variables are related (Ashley Crossman). (NEEDS TO BE IN PROPER APA FORMAT) Correlation analysis was the most relevant in this case given the fact that the study is to determine the relation between variables. You need to answer this question: Depending on if you are using corr ...
· Self-Assessment· InterpretationValues and Moral Survey of StLesleyWhitesidefv
· Self-Assessment
· Interpretation
Values and Moral Survey of Students
SCORING AND INTERPRETATION: If trying to rank in order these fifteen values and morals was difficult and you felt that it was somewhat arbitrary; it was. Without the proper context, exact meaning of each, and the problem of one concept being like others, everyone gets frustrated with this exercise. To be sure, this exercise does not tell you what your real morals or values are. Rather, it is a crude representation of what they might be. At the end of the simulation, compare what you ranked as important to what your decisions were. The following are vague descriptions of the fifteen values and morals:
ASSISTANCE: The act of helping or assisting someone or the help supplied.
CANDOR: Freedom from prejudice or malice.
CHARACTER: Someone with moral excellence.
CHARITY: Generosity and helpfulness, especially toward the needy or suffering.
COMPASSION: Sympathetic consciousness of others' distress with a desire to alleviate it.
ENVIRONMENT: Concern about the world's resources (land, water, air).
EXACTING IN TRUTH: Rigid or severe in demands or requirements.
FAIRNESS: Free from bias or injustice; evenhandedness.
HONESTY: Sincerity, frankness, freedom from deceit or fraud.
INTEGRITY: Firm adherence to a code of values; incorruptibility.
PERSEVERANCE: To do or achieve something despite difficulties, failure, or opposition.
SACRIFICE: Surrender of something for the sake of something else.
SERIOUSNESS: Thoughtful in appearance or manner; requiring much thought or work relating to a matter of importance.
TOLERANCE: Sympathy or indulgence for beliefs or practices differing from or conflicting with one's own.
TRUTHFULNESS: Corresponding with reality.
ASSISTANCE Results = 2
Think about a recent action you took with regard to an ethical situation. Was your behavior influenced by your values in the order you have reflected them here?
ASSISTANCE Analytics
What Would You Do? Problem 1
SCORING AND INTERPRETATION: There are no right or wrong answers to these questions, but your answers reveal your moral philosophy.
Moral Philosophy Results = 31
Moral Philosophy Analytics
Ethical Decision-Making Framework Model
Assessment
Summary
Alternatives
Analysis
Application
Action
Notes
Ethical Assessment #1
Ethical Assessment #2
Ethical Assessment #3
Week One Summary
Week Two Summary
Week Three Summary
Week Four Summary
Week Five Summary
Week Six Summary
Week Seven Summary
Week Eight Summary
Instructions: Below (on page 2) is a sample of the template data to assist you in your creative thinking for week one! On the weekly ethics portfolio, you are welcome to submit it along with the week one assignment, however it is not required. It is a note taking template. I highly encourage everyone to submit it each week, as this helps to keep you on track, but again, it is not required. You will use the template note-taking document to ...
Sample of how to teach the concepts of Business Intelligence to Fresh Graduat...Dan Meyer
I took a real life example of how I have applied some BI concepts to a small business client. We looked at the competitor landscape, customer demographics and customer insights.
The ultimate guide to data storytelling | MaterclassGramener
Gramener collaborated with Nasscom to conduct an online masterclass session on "Storytelling With Data." Gramener's CEO, S Anand, led the masterclass and shared some important slides on how to make data stories and how to drive storytelling.
The slides talk about the structure of data stories and how to find meaning full insights from data. There are real-time examples of data analysis and visualizations we created a Gramener to communicate insights as stories.
This is an ultimate guide on data storytelling that offers tips to create data stories, things to keep in mind while making storylines, and choosing designs to make a design-led data story.
Know more about Gramener's data storytelling workshop for analysts and data scientists at https://gramener.com/data-storytelling-workshop
The secret to creating viral content out of thin airEli Schwartz
Viral content can't be made, it needs to be created. By gathering unique data on your own, you can dig into this data to create content that connects with people. Understand what the key drivers are for virality and what kind of data has the best change at being popular.
[Critical Thinking]
1. Who says so – who is the one who is publishing the result? Do they have anything to gain from the result
2. How does he know – how did they measure this result?
3. Was there any sampling bias?
4. Did someone change the subject – Are the cause and effect getting muddled?
Does it make sense?
Research
1
Research
Student’s Name
University Affiliation
This is what my professor sent us yesterday through e-mail.
“Your response should look like this:
1. Introduction: Brief description of the study including the purpose and importance of the research question being asked.
Include your response in paragraph form here.
2. What is the null hypothesis? What is the research hypothesis?
Include your response in paragraph form here.
etc.
This format should help you to address EVERY question asked and it helps me in grading.
You should also be defining the statistical test, its requirements, etc and providing an intext citation for this summary. For example: What is a t test? When should it be used? What are the requirements? Why is the particular test appropriate to answer your research hypothesis? “
Research Hypothesis
Students who take breakfast perform better in class that those who don’t (FRAGMENT SENTENCE)
Research question
Does talking breakfast improve the class performance of a student?
Introduction
This research is meant to bring out the relationship between two variables and state how one affects the other. It has a dependent variable as well as independent variables. It should determine whether or not taking breakfast affects the class performance of a student.
Null hypothesis
Talking breakfast does not improve class performance of a student (SPELLING AND PUNCTUATION)
Sampling method
The method used to come up with the sample was the random sampling method. It is because it is unbiased and each unit of the population has an equal chance to be selected and used for the study. There is the assurance that the population will be equally sampled. (REWORD BECAUSE IT IS AWKAWARD)
Sample size
Determination of the right sample size is important because it makes the result of the research more true and reliable. 100 students were selected randomly for the purpose of the research.
Population of interest
The population that was targeted by this research is the entire student body. But since it is not practical to study every unit of the population, the sample was selected to represent the whole population. (YOU CANNOT START THE SENTENCE WITH “BUT” SINCE IT’S A RESEARCH PAPER) The sample size is big enough to represent the real picture depicted by the population under study.
Data analysis
The data was randomly collected from the students in order to create a sample to be used for the study. The data that was collected was analyzed so that to determine if there exists (REWORD) any relationship between breakfast and class performance.
Statistical analysis
This research is to determine the relationship between variables. Correlation refers to how strong two variables are related (Ashley Crossman). (NEEDS TO BE IN PROPER APA FORMAT) Correlation analysis was the most relevant in this case given the fact that the study is to determine the relation between variables. You need to answer this question: Depending on if you are using corr ...
· Self-Assessment· InterpretationValues and Moral Survey of StLesleyWhitesidefv
· Self-Assessment
· Interpretation
Values and Moral Survey of Students
SCORING AND INTERPRETATION: If trying to rank in order these fifteen values and morals was difficult and you felt that it was somewhat arbitrary; it was. Without the proper context, exact meaning of each, and the problem of one concept being like others, everyone gets frustrated with this exercise. To be sure, this exercise does not tell you what your real morals or values are. Rather, it is a crude representation of what they might be. At the end of the simulation, compare what you ranked as important to what your decisions were. The following are vague descriptions of the fifteen values and morals:
ASSISTANCE: The act of helping or assisting someone or the help supplied.
CANDOR: Freedom from prejudice or malice.
CHARACTER: Someone with moral excellence.
CHARITY: Generosity and helpfulness, especially toward the needy or suffering.
COMPASSION: Sympathetic consciousness of others' distress with a desire to alleviate it.
ENVIRONMENT: Concern about the world's resources (land, water, air).
EXACTING IN TRUTH: Rigid or severe in demands or requirements.
FAIRNESS: Free from bias or injustice; evenhandedness.
HONESTY: Sincerity, frankness, freedom from deceit or fraud.
INTEGRITY: Firm adherence to a code of values; incorruptibility.
PERSEVERANCE: To do or achieve something despite difficulties, failure, or opposition.
SACRIFICE: Surrender of something for the sake of something else.
SERIOUSNESS: Thoughtful in appearance or manner; requiring much thought or work relating to a matter of importance.
TOLERANCE: Sympathy or indulgence for beliefs or practices differing from or conflicting with one's own.
TRUTHFULNESS: Corresponding with reality.
ASSISTANCE Results = 2
Think about a recent action you took with regard to an ethical situation. Was your behavior influenced by your values in the order you have reflected them here?
ASSISTANCE Analytics
What Would You Do? Problem 1
SCORING AND INTERPRETATION: There are no right or wrong answers to these questions, but your answers reveal your moral philosophy.
Moral Philosophy Results = 31
Moral Philosophy Analytics
Ethical Decision-Making Framework Model
Assessment
Summary
Alternatives
Analysis
Application
Action
Notes
Ethical Assessment #1
Ethical Assessment #2
Ethical Assessment #3
Week One Summary
Week Two Summary
Week Three Summary
Week Four Summary
Week Five Summary
Week Six Summary
Week Seven Summary
Week Eight Summary
Instructions: Below (on page 2) is a sample of the template data to assist you in your creative thinking for week one! On the weekly ethics portfolio, you are welcome to submit it along with the week one assignment, however it is not required. It is a note taking template. I highly encourage everyone to submit it each week, as this helps to keep you on track, but again, it is not required. You will use the template note-taking document to ...
Sample of how to teach the concepts of Business Intelligence to Fresh Graduat...Dan Meyer
I took a real life example of how I have applied some BI concepts to a small business client. We looked at the competitor landscape, customer demographics and customer insights.
The ultimate guide to data storytelling | MaterclassGramener
Gramener collaborated with Nasscom to conduct an online masterclass session on "Storytelling With Data." Gramener's CEO, S Anand, led the masterclass and shared some important slides on how to make data stories and how to drive storytelling.
The slides talk about the structure of data stories and how to find meaning full insights from data. There are real-time examples of data analysis and visualizations we created a Gramener to communicate insights as stories.
This is an ultimate guide on data storytelling that offers tips to create data stories, things to keep in mind while making storylines, and choosing designs to make a design-led data story.
Know more about Gramener's data storytelling workshop for analysts and data scientists at https://gramener.com/data-storytelling-workshop
The secret to creating viral content out of thin airEli Schwartz
Viral content can't be made, it needs to be created. By gathering unique data on your own, you can dig into this data to create content that connects with people. Understand what the key drivers are for virality and what kind of data has the best change at being popular.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
2. Statistics is....
• Plural
Statistics is information about any phenomenon or
activity expressed in numerical form, such as
vital statistics, college enrollment figures, and
opinion poll percentages.
• Singular
Statistics is the art & science of collecting,
presenting, analyzing, and interpreting numerical
data.
3. Common Statistical Slips
• The Deceptive Sample
• The Misleading Average
• Plausible Charts and Graphs
• Presenting the Facts without a Reference
Point
4. The Deceptive Sample
Error in sampling.
Interpretation of statistic output doesn’t
represent true fact of total of population.
How could this happen:
Sample bias or too small
Sample chosen to prove the writer’s point
5. Brand Manager of Head & Shoulders released the statement:
“Head & Shoulders is the best brand for
shampoo category in Indonesia.”
*based on national consumer survey in 2010.
The Questions are:
Are samples chosen by pure random method?
How many samples are surveyed?
Is it enough to represent total of Indonesian
population?
6. The Misleading Average
• Generating a wrong conclusion because the data
didn’t distribute normal.
• Example:
“Indonesia can’t acces a soft loan from the
World Bank because its per capita income is
above average.”
7. So, what’s the big deal??
It is because the World Bank put their
conclusion on per capita income.
But, what about the data?
Does it show a true fact about Indonesia?
8. Income (I) Population (P) Sum of P x I
US$ 100 50 US$ 5.000
US$ 200 150 US$ 30.000
US$ 300 300 US$ 90.000
US$ 400 250 US$ 100.000
US$ 500 200 US$ 100.000
US$ 600 0 US$ 0
US$ 700 0 US$ 0
US$ 800 0 US$ 0
US$ 900 2000 US$ 18.000
US$ 1000 150 US$ 150.000
TOTAL 1.300 US$ 655.000
Indonesia’s Per Capita Income is US$ 503,85.-
That is why Indonesia can’t access any soft loan from the World Bank.
note: only country with Per Capita less than US$ 500 can get a soft loan from the World Bank
In fact, Indonesian income is dominated by the middle-lower income
9. Plausible Charts and Graphs
• Manipulating charts or graphs to convey
almost any desired impression.
10. What do feel when
watching this chart?
Same like before
Graph 2 is more impressive
11. Presenting the Facts Without a
Reference Point
• Present a statistical result without suficient
data in presentation.
The graph tells us
students behavior
on everage is good.
The question:
What is definition of
those scale (0-10)
12. Exercise 1
“Students in Class Xo are good in mathematics.
Data shows the average of their mathematics’
score is above 7.”
• The Deceptive Sample
• The Misleading Average
• Plausible Charts and Graphs
• Presenting the Facts Without a Reference point
18. Exercise 2
“The level of public health is
going worse.”
• The Deceptive Sample
• The Misleading Average
• Plausible Charts and Graphs
• Presenting the Facts
Without a Reference point
24. Exercise 3
“94% of Indonesian women agree that the Garnier light
cream can make their skin more shinning, 92% agree
the Garnier white cream can reduce oil in their face,
93% agree it can reduce black spot of acne.”
• The Deceptive Sample
• The Misleading Average
• Plausible Charts and Graphs
• Presenting the Facts Without a Reference point
30. Conclusion
• The good statistics are:
1. Sampling uses a random sampling method with
sufficient data to represent the total group.
2. There is no individual interests behind the survey.
3. No outlier in the data.
4. Don’t judge the fact by the graphs or charts.
5. Statistical output must attach a referenced point as
a comparison standard.