Submit Search
Upload
Lecture3 Applied Econometrics and Economic Modeling
•
Download as PPT, PDF
•
0 likes
•
864 views
S
stone55
Follow
Applied Econometrics and Economic Modeling
Read less
Read more
Education
Report
Share
Report
Share
1 of 91
Download now
Recommended
Chapter 4 Lecture Slides
Stat11t chapter4
Stat11t chapter4
raylenepotter
Meaning of Probability, Experiment. Events – Simple and Compound, Sample Space, Probability of Events, Event Independent and Dependent Events, Probability Laws Bayes Theorem
Concept of probability
Concept of probability
Habibullah Bahar University College
Triola t11 chapter4
Triola t11 chapter4
babygirl5810
A complete slides about bayes rule (bayes thoery) ready made just prepare and present.
Bayes rule (Bayes Law)
Bayes rule (Bayes Law)
Tish997
Basic Elements of Probability Theory
Basic Elements of Probability Theory
Basic Elements of Probability Theory
Maira Carvalho
Probablity And Its Axioms
Probability And Its Axioms
Probability And Its Axioms
DataminingTools Inc
Probability Engineering Statistics and Probability For Engineer
3.1 probability
3.1 probability
University of Salahaddin-Erbil
what is probability,
Probability
Probability
Narendra Chauhan
Recommended
Chapter 4 Lecture Slides
Stat11t chapter4
Stat11t chapter4
raylenepotter
Meaning of Probability, Experiment. Events – Simple and Compound, Sample Space, Probability of Events, Event Independent and Dependent Events, Probability Laws Bayes Theorem
Concept of probability
Concept of probability
Habibullah Bahar University College
Triola t11 chapter4
Triola t11 chapter4
babygirl5810
A complete slides about bayes rule (bayes thoery) ready made just prepare and present.
Bayes rule (Bayes Law)
Bayes rule (Bayes Law)
Tish997
Basic Elements of Probability Theory
Basic Elements of Probability Theory
Basic Elements of Probability Theory
Maira Carvalho
Probablity And Its Axioms
Probability And Its Axioms
Probability And Its Axioms
DataminingTools Inc
Probability Engineering Statistics and Probability For Engineer
3.1 probability
3.1 probability
University of Salahaddin-Erbil
what is probability,
Probability
Probability
Narendra Chauhan
Probability theory
Probability Theory
Probability Theory
Parul Singh
Conditional Probability, Multiplication Rule, Marginal Probability, Bayes Law, Independence,
Lecture: Joint, Conditional and Marginal Probabilities
Lecture: Joint, Conditional and Marginal Probabilities
Marina Santini
explains probability through concept of modern set theory.
Probability
Probability
Sanila Khalid
All the basic concepts you need to know is presented in a very simple way for you to understand.
Probability
Probability
Seyid Kadher
probability therory, addition rule, axioms of probability, probability theorems
Mathematics for Language Technology: Introduction to Probability Theory
Mathematics for Language Technology: Introduction to Probability Theory
Marina Santini
This presentation gives a brief introduction about Bayes' Theorem and its applications in Artificial intelligence
Bayes' theorem
Bayes' theorem
Dr. C.V. Suresh Babu
Bayes'Theorem
Bayes theorem
Bayes theorem
Thuy An Dang
Probability decision making
Probability decision making
Probability decision making
Christian Tobing
Probability not Higher Level....This PPT is for beginners or for those who learnt or to study PROBABILITY........... :):):):):)
Probability
Probability
Mayank Devnani
Theorems And Conditional Probability
Theorems And Conditional Probability
Theorems And Conditional Probability
DataminingTools Inc
Sample space and event,probability,the axioms of probability,bayes theorem
Sample Space and Event,Probability,The Axioms of Probability,Bayes Theorem
Sample Space and Event,Probability,The Axioms of Probability,Bayes Theorem
Bharath kumar Karanam
Axioms, elementary properties of probability , examples
Axioms of Probability
Axioms of Probability
Neha Patil
Basic Notation and Rules of Probability
Probability models & basic rules
Probability models & basic rules
amylute
Mathematics, Statistics, Probability, Randomness, General Probability Rules, General Addition Rules, Conditional Probability, General Multiplication Rules, Bayes’s Rule, Independence
Chapter 4 part4- General Probability Rules
Chapter 4 part4- General Probability Rules
nszakir
Geometry journal 2
Geometry journal 2
Katina1196
Basic Probability for Early Learners
Basic Probability for Early Learners
arkinism1945
Slides from a CLE to employment lawyers in Baton Rouge, Louisiana, regarding the rise of social media, social media as a tool in discovery and litigation, and ethics issues confronted by lawyers, employers and employees involving Facebook, Twitter, MySpace, Vine, and so on
Tweeting While You Work: Social Media and Ethics for Employment Lawyers
Tweeting While You Work: Social Media and Ethics for Employment Lawyers
Lauren Godshall
Great Slide by Ghafran Ali Biotechnology
Pro fold
Pro fold
Facebook
Probability & probability distribution
Probability & probability distribution
umar sheikh
Great Slide by Ghafran Ali Biotechnology
Protein folding
Protein folding
Facebook
structure, functions, folding of proteins
Structure, functions and folding problems of protein
Structure, functions and folding problems of protein
Rawat DA Greatt
From http://isites.harvard.edu/fs/docs/icb.topic154887.files/Two_sample_t-test.ppt
Two sample t-test
Two sample t-test
Stephen Lange
More Related Content
What's hot
Probability theory
Probability Theory
Probability Theory
Parul Singh
Conditional Probability, Multiplication Rule, Marginal Probability, Bayes Law, Independence,
Lecture: Joint, Conditional and Marginal Probabilities
Lecture: Joint, Conditional and Marginal Probabilities
Marina Santini
explains probability through concept of modern set theory.
Probability
Probability
Sanila Khalid
All the basic concepts you need to know is presented in a very simple way for you to understand.
Probability
Probability
Seyid Kadher
probability therory, addition rule, axioms of probability, probability theorems
Mathematics for Language Technology: Introduction to Probability Theory
Mathematics for Language Technology: Introduction to Probability Theory
Marina Santini
This presentation gives a brief introduction about Bayes' Theorem and its applications in Artificial intelligence
Bayes' theorem
Bayes' theorem
Dr. C.V. Suresh Babu
Bayes'Theorem
Bayes theorem
Bayes theorem
Thuy An Dang
Probability decision making
Probability decision making
Probability decision making
Christian Tobing
Probability not Higher Level....This PPT is for beginners or for those who learnt or to study PROBABILITY........... :):):):):)
Probability
Probability
Mayank Devnani
Theorems And Conditional Probability
Theorems And Conditional Probability
Theorems And Conditional Probability
DataminingTools Inc
Sample space and event,probability,the axioms of probability,bayes theorem
Sample Space and Event,Probability,The Axioms of Probability,Bayes Theorem
Sample Space and Event,Probability,The Axioms of Probability,Bayes Theorem
Bharath kumar Karanam
Axioms, elementary properties of probability , examples
Axioms of Probability
Axioms of Probability
Neha Patil
Basic Notation and Rules of Probability
Probability models & basic rules
Probability models & basic rules
amylute
Mathematics, Statistics, Probability, Randomness, General Probability Rules, General Addition Rules, Conditional Probability, General Multiplication Rules, Bayes’s Rule, Independence
Chapter 4 part4- General Probability Rules
Chapter 4 part4- General Probability Rules
nszakir
Geometry journal 2
Geometry journal 2
Katina1196
Basic Probability for Early Learners
Basic Probability for Early Learners
arkinism1945
What's hot
(16)
Probability Theory
Probability Theory
Lecture: Joint, Conditional and Marginal Probabilities
Lecture: Joint, Conditional and Marginal Probabilities
Probability
Probability
Probability
Probability
Mathematics for Language Technology: Introduction to Probability Theory
Mathematics for Language Technology: Introduction to Probability Theory
Bayes' theorem
Bayes' theorem
Bayes theorem
Bayes theorem
Probability decision making
Probability decision making
Probability
Probability
Theorems And Conditional Probability
Theorems And Conditional Probability
Sample Space and Event,Probability,The Axioms of Probability,Bayes Theorem
Sample Space and Event,Probability,The Axioms of Probability,Bayes Theorem
Axioms of Probability
Axioms of Probability
Probability models & basic rules
Probability models & basic rules
Chapter 4 part4- General Probability Rules
Chapter 4 part4- General Probability Rules
Geometry journal 2
Geometry journal 2
Basic Probability for Early Learners
Basic Probability for Early Learners
Viewers also liked
Slides from a CLE to employment lawyers in Baton Rouge, Louisiana, regarding the rise of social media, social media as a tool in discovery and litigation, and ethics issues confronted by lawyers, employers and employees involving Facebook, Twitter, MySpace, Vine, and so on
Tweeting While You Work: Social Media and Ethics for Employment Lawyers
Tweeting While You Work: Social Media and Ethics for Employment Lawyers
Lauren Godshall
Great Slide by Ghafran Ali Biotechnology
Pro fold
Pro fold
Facebook
Probability & probability distribution
Probability & probability distribution
umar sheikh
Great Slide by Ghafran Ali Biotechnology
Protein folding
Protein folding
Facebook
structure, functions, folding of proteins
Structure, functions and folding problems of protein
Structure, functions and folding problems of protein
Rawat DA Greatt
From http://isites.harvard.edu/fs/docs/icb.topic154887.files/Two_sample_t-test.ppt
Two sample t-test
Two sample t-test
Stephen Lange
How Proteins are folded into 3D functional structure
The mechanism of protein folding
The mechanism of protein folding
Prasanthperceptron
Normal Probability Distribution
Normal Probability Distribution
mandalina landy
Probability concept and Probability distribution_Contd
Probability concept and Probability distribution_Contd
Southern Range, Berhampur, Odisha
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Azmi Mohd Tamil
The overall balance of Media and their ethical values.
Media and ethics
Media and ethics
Ranjeet Singh
The presentation discusses the concept of test of significance including the test of significance examples of t-test, proportion test and chi-square test.
Test of significance (t-test, proportion test, chi-square test)
Test of significance (t-test, proportion test, chi-square test)
Ramnath Takiar
This presentation gives a summary of t-test and its application.
Student's T-Test
Student's T-Test
COSTARCH Analytical Consulting (P) Ltd.
Studnet's t-test for
Student t-test
Student t-test
Steve Bishop
Viewers also liked
(14)
Tweeting While You Work: Social Media and Ethics for Employment Lawyers
Tweeting While You Work: Social Media and Ethics for Employment Lawyers
Pro fold
Pro fold
Probability & probability distribution
Probability & probability distribution
Protein folding
Protein folding
Structure, functions and folding problems of protein
Structure, functions and folding problems of protein
Two sample t-test
Two sample t-test
The mechanism of protein folding
The mechanism of protein folding
Normal Probability Distribution
Normal Probability Distribution
Probability concept and Probability distribution_Contd
Probability concept and Probability distribution_Contd
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Student's T-test, Paired T-Test, ANOVA & Proportionate Test
Media and ethics
Media and ethics
Test of significance (t-test, proportion test, chi-square test)
Test of significance (t-test, proportion test, chi-square test)
Student's T-Test
Student's T-Test
Student t-test
Student t-test
Similar to Lecture3 Applied Econometrics and Economic Modeling
Different types of distributions
Different types of distributions
Different types of distributions
RajaKrishnan M
Ppt unit-05-mbf103
Ppt unit-05-mbf103
Vibha Nayak
Chapter 05
Chapter 05
bmcfad01
Bays theorms
1-Probability-Conditional-Bayes.pdf
1-Probability-Conditional-Bayes.pdf
KrushangDilipbhaiPar
Bayes primer2
Bayes primer2
MhAcKnI
A Survey of Probability Concepts
Lesson 5.ppt
Lesson 5.ppt
OkianWarner
ESTADISTICA UNIVERSITARIA
Chap005Lind.ppt
Chap005Lind.ppt
ManoloTaquire
Lind, Marchal, Wathen (2012), Statistical Techniques in Business and Economics, 15th Edition
Bab 5.ppt
Bab 5.ppt
akhmadakbarsusamto1
Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic visualisation such as a bar chart might give you some high-level information, but with statistics we get to operate on the data in a much more information-driven and targeted way. The math involved helps us form concrete conclusions about our data rather than just guesstimating. Using statistics, we can gain deeper and more fine grained insights into how exactly our data is structured and based on that structure how we can optimally apply other data science techniques to get even more information. Today, we’re going to look at 10 basic statistics concepts that data scientists need to know and how they can be applied most effectively!
10 Must-Know Statistical Concepts for Data Scientists.docx
10 Must-Know Statistical Concepts for Data Scientists.docx
Kin Kan
Mutually Exclusive event
G10 Math Q4-Week 1- Mutually Exclusive.ppt
G10 Math Q4-Week 1- Mutually Exclusive.ppt
ArnoldMillones4
notes from university of alberta on artificial intelligence
Probability Theory.pdf
Probability Theory.pdf
codewithmensah
Probabilistic decision making
Probabilistic decision making
shri1984
Naive Bayes algorithm, in particular is a logic-based technique which is simple yet so powerful that it is often known to outperform complex algorithms for very large datasets.
Naive bayes
Naive bayes
Ayurdata
Data science - M.Sc in CSE, 11th Batch, CSE department question solution.
Data science
Data science
Rakibul Hasan Pranto
Probability,conditional probability and Bayes theorem with definition and some examples, one can easily understand these topics from these slides,
Probability&Bayes theorem
Probability&Bayes theorem
imran iqbal
A Survey of Probability Concepts
Chapter 05
Chapter 05
Tuul Tuul
For this assignment, use the aschooltest.sav dataset. The dataset consists of Reading, Writing, Math, Science, and Social Studies test scores for 200 students. Demographic data include gender, race, SES, school type, and program type. Instructions: Work with the aschooltest.sav datafile and respond to the following questions in a few sentences. Please submit your SPSS output either in your assignment or separately. 1. Identify an Independent and Dependent Variable (of your choice) and develop a hypothesis about what you expect to find. ( note: the IV is a grouping variable, which means it needs to have more than 2 categories and the DV is continuous) 2. Run Assumption tests for Normality and initial Homogeneity of Variance. What are your results? 3. Run the one-way ANOVA with the Levene test & Tukey post hoc test. a. What are the results of the Levene test? What does this mean? b. What are the results of the one-way ANOVA (use notation)? What does it mean? c. Are post hoc tests necessary? If so, what are the results of those analyses? 4. How do your analyses address your hypotheses? Is concentration of single parent families associated with reading scores? Using the AECF state data, the regression below measures the effect of the state's percentage of single parent families on the percentage of 4th graders with below basic reading scores. %belowbasicread = β0 + β1x%SPF + u Stata Output 1) Please write out the regression equation using the coefficients in the table 2) Please provide an interpretation of the coefficient for SPF 3) How does the model fit? 4) What is the NULL hypothesis for a T test about a regression coefficient? 5) What is the ALTERNATE hypothesis for a T test about a regression coefficient? 6) Look at the p value for the coefficient SPF. a) Report the p value b) How many stars would it get if we used our standard convention? * p ≤ .1 ** p ≤ .05 *** p ≤ .01 image1.png Two-Variable (Bivariate) Regression In the last unit, we covered scatterplots and correlation. Social scientists use these as descriptive tools for getting an idea about how our variables of interest are related. But these tools only get us so far. Regression analysis is the next step. Regression is by far the most used tool in social science research. Simple regression analysis can tell us several things: 1. Regression can estimate the relationship between x and y in their original units of measurement. To see why this is so useful, consider the example of infant mortality and median family income. Let’s say that a policymaker is interested in knowing how much of a change in median family income is needed to significantly reduce the infant mortality rate. Correlation cannot answer this question, but regression can. 2. Regression can tell us how well the independent variable (x) explains the dependent variable (y). The measure is called the R square. Simple Tw ...
For this assignment, use the aschooltest.sav dataset.The d
For this assignment, use the aschooltest.sav dataset.The d
MerrileeDelvalle969
5.2 - Triola textbook 6.2 - Sullivan textbook
Probability distributions
Probability distributions
Long Beach City College
Introduction to Probability, Importance of Probability, Multiplication Theorom, Conditional Probability and Bayes' Theorom
Introduction to Probability and Bayes' Theorom
Introduction to Probability and Bayes' Theorom
Yugal Gupta
It is a consolidation of basic probability concepts worth understanding before attempting to apply probability concepts for predictions. The material is formed from different sources. ll the sources are acknowledged.
Probability concepts for Data Analytics
Probability concepts for Data Analytics
SSaudia
Similar to Lecture3 Applied Econometrics and Economic Modeling
(20)
Different types of distributions
Different types of distributions
Ppt unit-05-mbf103
Ppt unit-05-mbf103
Chapter 05
Chapter 05
1-Probability-Conditional-Bayes.pdf
1-Probability-Conditional-Bayes.pdf
Bayes primer2
Bayes primer2
Lesson 5.ppt
Lesson 5.ppt
Chap005Lind.ppt
Chap005Lind.ppt
Bab 5.ppt
Bab 5.ppt
10 Must-Know Statistical Concepts for Data Scientists.docx
10 Must-Know Statistical Concepts for Data Scientists.docx
G10 Math Q4-Week 1- Mutually Exclusive.ppt
G10 Math Q4-Week 1- Mutually Exclusive.ppt
Probability Theory.pdf
Probability Theory.pdf
Probabilistic decision making
Probabilistic decision making
Naive bayes
Naive bayes
Data science
Data science
Probability&Bayes theorem
Probability&Bayes theorem
Chapter 05
Chapter 05
For this assignment, use the aschooltest.sav dataset.The d
For this assignment, use the aschooltest.sav dataset.The d
Probability distributions
Probability distributions
Introduction to Probability and Bayes' Theorom
Introduction to Probability and Bayes' Theorom
Probability concepts for Data Analytics
Probability concepts for Data Analytics
More from stone55
excel master series-Anova in-excel-to-improve-marketing
excel master series-Anova in-excel-to-improve-marketing
excel master series-Anova in-excel-to-improve-marketing
stone55
Applied Economic Modeling
Lecture6 Applied Econometrics and Economic Modeling
Lecture6 Applied Econometrics and Economic Modeling
stone55
Applied Economic Modeling
Lecture 4 Applied Econometrics and Economic Modeling
Lecture 4 Applied Econometrics and Economic Modeling
stone55
Applied Econometrics and Economic Modeling
Lecture7b Applied Econometrics and Economic Modeling
Lecture7b Applied Econometrics and Economic Modeling
stone55
Applied Econometrics and Economic Modeling
Lecture7a Applied Econometrics and Economic Modeling
Lecture7a Applied Econometrics and Economic Modeling
stone55
Lecture5 Applied Econometrics and Economic Modeling
Lecture5 Applied Econometrics and Economic Modeling
stone55
Lecture8 Applied Econometrics and Economic Modeling
Lecture8 Applied Econometrics and Economic Modeling
stone55
lecture 1 Applied Econometrics and Economic Modeling
lecture 1 applied econometrics and economic modeling
lecture 1 applied econometrics and economic modeling
stone55
Credit RiskSummer
Consumer credit-risk3440
Consumer credit-risk3440
stone55
Credit Risk Management
Summer 07-mfin7011-tang1922
Summer 07-mfin7011-tang1922
stone55
smoothwall networkguide
smoothwall networkguide
smoothwall networkguide
stone55
Applied Econometrics and Economic Modeling
Lecture2 Applied Econometrics and Economic Modeling
Lecture2 Applied Econometrics and Economic Modeling
stone55
More from stone55
(12)
excel master series-Anova in-excel-to-improve-marketing
excel master series-Anova in-excel-to-improve-marketing
Lecture6 Applied Econometrics and Economic Modeling
Lecture6 Applied Econometrics and Economic Modeling
Lecture 4 Applied Econometrics and Economic Modeling
Lecture 4 Applied Econometrics and Economic Modeling
Lecture7b Applied Econometrics and Economic Modeling
Lecture7b Applied Econometrics and Economic Modeling
Lecture7a Applied Econometrics and Economic Modeling
Lecture7a Applied Econometrics and Economic Modeling
Lecture5 Applied Econometrics and Economic Modeling
Lecture5 Applied Econometrics and Economic Modeling
Lecture8 Applied Econometrics and Economic Modeling
Lecture8 Applied Econometrics and Economic Modeling
lecture 1 applied econometrics and economic modeling
lecture 1 applied econometrics and economic modeling
Consumer credit-risk3440
Consumer credit-risk3440
Summer 07-mfin7011-tang1922
Summer 07-mfin7011-tang1922
smoothwall networkguide
smoothwall networkguide
Lecture2 Applied Econometrics and Economic Modeling
Lecture2 Applied Econometrics and Economic Modeling
Recently uploaded
In this webinar, members learned the ABCs of keeping books for a nonprofit organization. Some of the key takeaways were: - What is accounting and how does it work? - How do you read a financial statement? - What are the three things that nonprofits are required to track? -And more
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
TechSoup
Spell
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
Wednesday 20 March 2024, 09:30-15:30
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
Jisc
Pie
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
This presentation is from the Paper 210A: Research Project Writing: Dissertation Writing and I choose the topic Beyond Borders: Understanding Anime and Manga Fandom: A Comprehensive Audience Analysis.
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Pooja Bhuva
Skills of introducing the lesson presents by Mrs. Amanpreet Kaur, Assistant Professor Khalsa College of Education, G.T. Road Amritsar
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
Amanpreet Kaur
How Bosna and Herzegovina prepares for CBAM
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
Admir Softic
FSB Advising Checklist
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
Elizabeth Walsh
Python notes for Unit 1 Avanthi PG College
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
Ramakrishna Reddy Bijjam
Numerical on HEV
Application orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
RamjanShidvankar
My CV as of the end of April 2024
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
agholdier
Here is the slide show presentation from the Pre-Deployment Brief for HMCS Max Bernays from May 8th, 2024.
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
Esquimalt MFRC
An introduction on the challenges that face food testing labs.
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
Sherif Taha
Mehran University Newsletter is a Quarterly Publication from Public Relations Office
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University of Engineering & Technology, Jamshoro
Setting up a development environment for odoo using pycharm is highly preferred by odoo developers to develop and debug odoo modules and other related functionalities .
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
Celine George
𝐋𝐞𝐬𝐬𝐨𝐧 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬: -Discern accommodations and modifications within inclusive classroom environments, distinguishing between their respective roles and applications. -Through critical analysis of hypothetical scenarios, learners will adeptly select appropriate accommodations and modifications, honing their ability to foster an inclusive learning environment for students with disabilities or unique challenges.
Understanding Accommodations and Modifications
Understanding Accommodations and Modifications
MJDuyan
Foster students' wonder and curiosity about infinity. The "mathematical concepts of the infinite can do much to engage and propel our thinking about God” Bradley & Howell, p. 56.
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
christianmathematics
ICT Role in 21st Century Education & its Challenges •This presentation gives an overall view of education in 21st century and how it is facilitated by the integration of ICT. •It also gives a detailed explanation of the challenges faced in ICT-based education and further elaborates the strategies that can help in overcoming the challenges.
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
AreebaZafar22
The pricing and discounting feature is very essential for Odoo POS. Global discount is actually a discount that will apply to the entire order. And it indicates that the discount is applied to every item in the order, regardless of how much each item costs separately. This slide will show how to manage global discounts in odoo 17 POS.
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
Celine George
Wizards are very useful for creating a good user experience. In all businesses, interactive sessions are most beneficial. To improve the user experience, wizards in Odoo provide an interactive session. For creating wizards, we can use transient models or abstract models. This gives features of a model class except the data storing. Transient and abstract models have permanent database persistence. For them, database tables are made, and the records in such tables are kept until they are specifically erased.
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
Celine George
Recently uploaded
(20)
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
Application orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
Understanding Accommodations and Modifications
Understanding Accommodations and Modifications
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
Lecture3 Applied Econometrics and Economic Modeling
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
Distribution of a
Single Random Variable
15.
16.
17.
18.
19.
20.
21.
22.
23.
Derived Probability Distributions
24.
25.
26.
Derived Distributions of
Units Sold and Revenue
27.
28.
29.
30.
Distribution of Two
Random Variables: Scenario Approach
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
Simulation of GM
and Gold Returns
43.
44.
45.
46.
Distribution of Portfolio
Return
47.
Distribution of Two
Random Variables: Joint Probability Approach
48.
49.
50.
51.
52.
53.
54.
55.
56.
57.
58.
Conditional Distributions of
Demand 1 Given Demand 2
59.
60.
Conditional Distributions of
Demand 2 Given Demand 1
61.
62.
63.
64.
65.
66.
Conditional Distributions of
Demand 2 Given Demand 1
67.
Independent Random Variables
68.
69.
70.
71.
72.
73.
74.
Calculations
75.
76.
77.
78.
79.
80.
81.
Weighted Sums of
Random Variables
82.
83.
84.
Input Data
85.
86.
87.
88.
89.
90.
91.
Download now