EDU933 Course Introduction
at UOWDUBAI offers a comprehensive overview of the quantitative methods used in educational research. This course is designed for students with a strong background in research methods and those who are considering a career in teaching, scholarship or research. You will learn how to analyse and interpret data and publish your work through the production of an undergraduate thesis. In this course you will apply quantitative techniques to enhance your ability to conduct research, including descriptive statistics, experimental design, analysis of variance (ANOVA), correlation, regression
EDU933 Course Description
EDU933 Advanced Quantitative Analysis (4-0-0) The course provides students with the opportunity to develop and apply advanced skills in data analysis, regression and time series analysis for research. Students will be able to use an Excel spreadsheet as a tool for data analysis. They will also be introduced to the statistical package SPSS. The course content will include:
1. To introduce students to concepts of advanced data analysis and regression.
2. To enable students to analyse real-life
Universities Offering the EDU933 Course
at Sydney University, Australia
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EDU933 Course Outline
Course Outline for EDU933 – Advanced Quantitative Analysis (EDU933) Students must achieve the following course outcomes to receive a credit. The Grade of “C” or better is required for students to graduate. This course provides instruction in quantitative analysis techniques, their application and interpretation in real world situations.
The instructional goals of this course are to develop knowledge and understanding of concepts, skills, techniques, applications and technologies associated with the design and analysis of experiments. Students will be introduced to statistical software including
EDU933 Course Objectives
Instructor: Linda Rojas
Dates: January 15 – March 12, 2017 (No class on February 19) Time: Monday and Wednesday evenings from 6:00 p.m. to 9:45 p.m. Location: M1100, Lecture Hall-2 Instructor Contact Info:
Webpage: http://www.usask.ca/dlsa/dlsa-u2.html Office Hours:
EDU933 Course Pre-requisites
in 2018: None. Study Mode: Full time (10 weeks) Location: Online Tutor Support: No Learning Outcomes 1. To be able to construct and interpret analysis of variance (ANOVA) and correlation (r = r, r^2, coefficient of determination) for multiple regression
2. To be able to conduct graphical analysis and interpretation for multiple linear regression
3. To be able to construct a graph or charts in the Microsoft Office Excel 2007
EDU933 Course Duration & Credits
Course Code EDU933 Course Name Advanced Quantitative Analysis (EDU933) Credit Hours 3 Self Study Hours 0 Online Learning Hours N/A Course Code & Name: EDU933-Advanced Quantitative Analysis (EDU933) Credits: 3 Self-Study Hours: 0 Online Learning Hours: N/A Course Objectives:
In this course you will acquire the knowledge and skills to use multiple regression analysis in practice. You will also develop an understanding of the concepts of linear, cur
EDU933 Course Learning Outcomes
1. Students will have a greater understanding of the use of statistical software tools in both quantitative and qualitative research methodologies. 2. Students will be able to demonstrate an understanding of using qualitative data analysis techniques within a quantitative study design. 3. Students will be able to select and use appropriate computer tools for specific quantitative or qualitative data analysis tasks.
EDU933 – Advanced Quantitative Analysis (EDU933) is course in the Postgraduate Diploma in Education programme offered by Auckland University of Technology,
EDU933 Course Assessment & Grading Criteria
Assessment Details Semester: Summer 2019 Credit Points: 6.0 Student Contribution Band: Band 2 Tuition Fee : Student contribution band is indicative and may vary from year to year. Additional Costs : There is no additional cost for this course. Overview This unit will provide the student with advanced quantitative methods and analysis skills, including descriptive statistics, regression analysis, multivariate analysis, and data visualization. Students will be expected to become proficient in at least one statistical software package such as Stata or
EDU933 Course Fact Sheet
Note: Students must complete a minimum of 5 units of EDU933 to be awarded the EdD degree. In addition to completing this course, students must complete a minimum of 20 credits in courses related to the EdD Program. The following courses are required for all EdD students.
EDU901 – Research Methods in Education (3 cr)
EDU908 – Statistics for Educators (3 cr)
EDU909 – Quantitative Analysis (3 cr) EDU990 Research Seminar in
EDU933 Course Delivery Modes
Students can take this course entirely online using Blackboard Learn, or through a blended learning approach. The online mode of delivery is primarily used by students who wish to have flexible study schedules. If the online mode is not suitable for you, please contact us and we will explore your options.
The online mode of delivery provides students with flexibility and may be more suited to those who are unable to travel to campus for regular class sessions.
If you are new to distance education, please check out our Distance Education Orientation
EDU933 Course Faculty Qualifications
Course Faculty: Dr. Catherine A. Bowers, Dr. Amy Martin, Dr. Charles Simons, Dr. David Wright, Dr. Sharon Ossola and Ms. Kristin Waggoner
This course is designed to develop advanced quantitative analysis skills using Excel and Python for the rigorous analysis of data in science, business and engineering. It introduces an important range of techniques for organizing and analyzing large data sets including time series analysis, non-parametric regression techniques (including machine learning),
EDU933 Course Syllabus
Overview EDU933 will allow you to demonstrate your ability to synthesize a set of primary research findings and generate novel research questions. You will also develop the ability to develop a research plan, identify potential sources of data, undertake secondary analysis of existing data, and present and critically appraise the findings of your analysis. At the end of this course you will be able to demonstrate an awareness of ethical issues in qualitative and quantitative research and how these issues have been addressed within the field of education. You will
Suggested EDU933 Course Resources/Books
– Birkbeck, University of London This module has been replaced by EDU931. For alternative material see EDU933. Students will complete a module on advanced quantitative analysis, with an emphasis on the understanding of operational research techniques and their application in practice.
In addition to the module’s core content, students will undertake a substantial individual research project.
This programme focuses on the development of skills in software package development and statistical methods using R programming language.
It aims to develop the practical skills necessary to solve
EDU933 Course Practicum Journal
Recommended by Instructor: M. Prasad, Course Director; A. Murthy, Instructor; and R. Thirumalai, Associate Professor The practicum journal is designed to give you an opportunity to explore your skills in quantitative analysis of data using SPSS software. During the course you will use SPSS for data entry, processing, and analysis and get familiar with the use of statistical concepts as well as tools of SPSS. The journal may also be used by you in preparing a project
Suggested EDU933 Course Resources (Websites, Books, Journal Articles, etc.)
Project. Topic: Applied Statistics for Business and Economics/Project 1
APA Style (14th Edition) Guide for Students
Information on APA Style Guide Citation
Course Page – Suggested Course Resources & Assignments
Course Instructional Resources Assignment #1:
Project #1 – Applied Statistics for Business and Economics/Project 1.
Due Week 5 and worth 150 points.
Summarize the purpose of your project and explain why you selected this topic. To do this, you will need
EDU933 Course Project Proposal
2013 Access Type: Course Project Due Date: Thursday, May 9, 2013 at 11:59pm EST Platform: Electronic Submission Due Date: Thursday, May 9, 2013 at 11:59pm EST
Websites that have this course project (1)
Websites that have EDU933
EDU933 Course Practicum
– 3 Semester Credit Hours
EDU933 Course Practicum for EDU933 – Advanced Quantitative Analysis (EDU933) – 3 Semester Credit Hours EDU933 Course Practicum for EDU933 – Basic Math and Statistics (EDU933) – 3 Semester Credit Hours
EDU933 Course Practicum for EDU933 – Basic Math and Statistics (EDU933) – 3 Semester Credit Hours EDU433A2 Examining the Criminal Justice System in Canada (
Related EDU933 Courses
– Spring 2018
– Spring 2018
Download and Read Online book Advanced Quantitative Analysis (EDU933) – Spring 2018.pdf …
Top 100 AI-Generated Questions
Course Description. Now, not every single question you are going to get is going to be in the AI test. Our team uses Artificial Intelligence to create practical and accurate questions for students, delivering the right questions at the right time and place. The most common types of questions that have been asked from a computer-based assessments are: Multiple-choice Questions (MCQ) (80% of all types of assessment); Fill-in-the-blank Questions; Short answer Questions; True or False Questions; Simulation Questions;
What Should Students Expect to Be Tested from EDU933 Midterm Exam
at University of Pennsylvania
EDU933 Midterm Exam 1
Question Number Question Name (Required)
1. The mean annual rate of growth in population in the United States over the past thirty years is 0.63%. Calculate the rate of change for 2010.
2. From a sample of n = 30 observations, the median is x = 10 and the standard deviation is s = 3. For a data set with n = 25 observations, calculate: (a
How to Prepare for EDU933 Midterm Exam
at University of Phoenix
Edi 933 midterm exam – EDI933 – Course Hero
Edi 933 midterm exam course hero All the information you need to prepare for the Midterm Exam is located on this page.Due date: Time: Midterm Exam: Week of Sept. 21, 2010 Results will be available from Blackboard on or before Nov. 2.
University of Phoenix Edi 933 Final Exam Part 2 (12/5)
Midterm Exam Questions Generated from Top 100 Pages on Bing
– Statistics for Engineers & Scientists. Generated on Dec 3, 2017
This Exam Prep Service is provided by the University of Michigan at Ann Arbor in order to help students prepare for the exam.
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Midterm Exam Questions Generated from Top 100 Pages on Google
– [ Final Examination ]
Question 1 All questions on this exam are open book. The exam is closed book, but you can use your notes in the course to help answer the questions.
Question 2 (a) (i) Using the spreadsheet example from section 2.3, solve the following problems:
(ii) Explain briefly why the values for A and C in question (i) are lower than those in question (a). Do you think their values are too high or too low?
Week 3 11/7 – 11/9 Final Exam for EDU933 – Advanced Quantitative Analysis (EDU933) Week 4 11/14 – 11/16 Final Exam for EDU933 – Advanced Quantitative Analysis (EDU933) Week 5 11/21 – 11/23 Final Exam for EDU933 – Advanced Quantitative Analysis (EDU933) Week 6(Grading Period) FINAL EXAMINATIONS: SCHEDULE
Top 100 AI-Generated Questions
at Oregon State University. Read reviews and choose from the best prices. Find Deals & Discounts on Edulab … (EDU933) – Advanced Quantitative Analysis (EDU933) at Oregon State University.
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What Should Students Expect to Be Tested from EDU933 Final Exam
at University of Nebraska-Lincoln
Read EDU933 Advanced Quantitative Analysis (EDU933) Final Exam Questions and Answers (2019-20)
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How to Prepare for EDU933 Final Exam
at University of Hawaii.
Course details for EDU933 at University of Hawaii
EDU933 – Advanced Quantitative Analysis (EDU933) — Spring 2015
Dr. Robert Schantz
This course is offered only to students who are enrolled in the M.Ed. program. More information about our admission requirements and what courses can be taken toward the degree is available at http://www.education.hawaii.edu/grad/admission/degree-criteria
Final Exam Questions Generated from Top 100 Pages on Bing
20 Questions | 5219 Attempts EDU933 Advanced Quantitative Analysis (EDU933) 3 years ago
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Final Exam Questions Generated from Top 100 Pages on Google
EDU933 – Advanced Quantitative Analysis (EDU933)
EDU933 – Advanced Quantitative Analysis (EDU933)
This is a six-question multiple-choice question exam. The first question has five parts, each with four possible answers. The second and third questions have two questions each with four possible answers. The fourth question has three multiple choice questions with one correct answer. Finally,
Week by Week Course Overview
EDU933 Week 1 Description
Week 1 Description for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Description EDU933: Advanced Quantitative Analysis (Week 1): Introduction to Linear Programming and Game Theory The following questions are designed to check for understanding of the information contained in the assignment. …
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… of this theory can be seen in our current economic situation where each of these…
EDU933 Week 1 Outline
Week 1 Outline for EDU933 – Advanced Quantitative Analysis (EDU933) EDU933 Week 1 Assignment Develop a paper in which you do a numerical analysis of the weighted average cost curve for financial planning. Write a paragraph stating your findings. You may use Excel to create the graphs and draw your own conclusions. Explain what is happening to the slope of the curves in each year, by looking at charts that are available online or from books.
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EDU933 Week 1 Objectives
| Udemy I did not spend much time on this. This was just quick work from the notes, a brief review of the PowerPoint slides for the core topics of finance, and some basic econometrics calculations. The slides are available at http://www.princeton.edu/~jburkett/edulab/EDU933.zip EDU933 Week 1 Syllabus EDU933 Week 1 Quiz for EDU933 – Advanced Quantitative Analysis (EDU933) | Study.com
EDU933 Week 1 Pre-requisites
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EDU933 Week 2 Collaborative Discussion: Analyzing a Business Case – Business $ 50.00 Add to cart
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EDU933 Week 1 Duration
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EDU933 Week 3 Discussion 1 (EDU933) – The Federal Government’s Response to Covid
EDU933 Week 1 Learning Outcomes
1. Understand the basic concepts of statistics and how they apply to quantitative analysis.
2. Identify the major steps in a hypothesis test and understand how to construct hypotheses for an independent and dependent variable. 3. Recognize the characteristics of error that must be considered when making inferences from statistical data and discuss sampling methods used to minimize error in statistical analyses.
4. Identify the primary types of normal distributions and understand how these distributions are used to describe data sets (e.g., mean, standard deviation
EDU933 Week 1 Assessment & Grading
Week 1 Assignment Understanding Expectations of the Assessment
“Thoughts and memories are the most important things to keep. Memories are like the hands of a clock, which one does not know what time it is, so they do not know when to stop working.”
Edudemic Quote of the Week: A new study suggests that high school students who get involved in extracurricular activities are more likely to graduate high school and attend college. This positive correlation may be due to
EDU933 Week 1 Suggested Resources/Books
Week 1 Suggested Resources/Books for EDU933 – Advanced Quantitative Analysis (EDU933) Week 2 Suggested Resources/Books for EDU933 – Introduction to Financial Accounting (EDU933) Week 2 Suggested Resources/Books for EDU933 – Introduction to Financial Accounting (EDU933) Week 3 Suggested Resources/Books for EDU933 – Principles of Economics and Macroeconomics (EDU933) Week 3 Suggested Resources/Books for
EDU933 Week 1 Assignment (20 Questions)
Week 1 Assignment (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Assignment (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Assignment (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Assignment (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933)
Describe your personal philosophy of leadership and how it has been influenced
EDU933 Week 1 Assignment Question (20 Questions)
Week 1 Assignment Question (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Assignment Question (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Assignment Question (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Assignment Question (20 Questions)
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EDU933 Week 1 Discussion 1 (20 Questions)
Week 1 Discussion 1 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 Discussion 1 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933)
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EDU933 Week 1 DQ 1 (20 Questions)
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EDU933 Week 1 DQ 1 (20 Questions)
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What is the role of technology in education? What are some specific uses of technology in the classroom? What are some technologies currently used in education?
Advanced Quantitative Analysis
EDU933 Week 1 Discussion 2 (20 Questions)
Week 1 Discussion 2 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) is best suited for the following Courses: COURSE FORUM
Last answer on 12/14/2018 9:45:09 PM. by Bevins Reply | Forum topic
How to solve the math problem “The Area of a Circle is 60 square units. The Length of its Diameter is 18
EDU933 Week 1 DQ 2 (20 Questions)
Week 1 DQ 2 for EDU933 Advanced Quantitative Analysis (EDU933) Week 1 DQ 2 for EDU933 Advanced Quantitative Analysis (EDU933) Week 1 DQ 2 – Research Proposals and Methods (PROJ302) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 1 DQ 2 – Research Proposals and Methods (PROJ302) – University of Phoenix Material Research Proposals and Methods
EDU933 Week 1 Quiz (20 Questions)
for only $7.99. Complete the initial post (30 points) of Week 1 and submit it by Sunday at midnight PST (24 hours). You will be graded on the …
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EDU933 Week 1 MCQ’s (20 Multiple Choice Questions)
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EDU933 Week 2 Description
for EDU933 Week 2 – Discussion on current news stories. For more course tutorials visit
www.tutorialrank.comTutorial Purchased: 1 Times, Rating: A+ Instructional Course Overview: Choose a news story from the media that you follow in your personal life or the lives of your peers. Then, summarize the main points of the article and discuss how it relates to the different issues covered in the course.
Length: 7 pages, 381 words Quality: $69
EDU933 Week 2 Outline
Week 2 Outline for EDU933 – Advanced Quantitative Analysis (EDU933)
Due: Week 5 and Weeks 7 and 9
Review the readings in Chapter 1 of your textbook. This chapter is designed to introduce students to advanced topics in quantitative analysis. For example, it will introduce regression analysis, prediction, data assimilation, time series analysis, uncertainty quantification, and more.
In this week’s readings you will learn about statistics,
EDU933 Week 2 Objectives
Week 2 Objectives for EDU933 – Advanced Quantitative Analysis (EDU933) Instructor: Dr. William B. Fisher Course Description: This week, you will begin your journey to becoming an “Advanced Quantitative Analysis” (EDU933) graduate. In this week’s course activities, you will analyze data related to the field of emergency medicine. Each day, you will be required to complete a brief post and/or reflective activity that relates to the course content. Post and/or reflective
EDU933 Week 2 Pre-requisites
Week 2 Pre-requisites for EDU933 – Advanced Quantitative Analysis (EDU933) Week 2 Pre-requisites for EDU933 – Advanced Quantitative Analysis (EDU933)Week 2 Pre-requisites for EDU933 – Advanced Quantitative Analysis (EDU933)Week 2 Pre-requisites for EDU933 – Advanced Quantitative Analysis (EDU933)Week 2 Pre-requisites for EDU933 – Advanced Quantitative Analysis (EDU933)
EDU933 Week 2 Duration
Week 2 DQ1
DQ1. The American Enterprise Institute (AEI) is a think tank in Washington, DC that conducts research and policy analysis to address issues related to economic growth and international trade. The AEI has been at the forefront of reducing government regulation in business for more than 30 years. It has worked on legislation such as the Regulatory Flexibility Act (1980), the Sarbanes-Oxley Act (2002), the Gramm-Rudman-H
EDU933 Week 2 Learning Outcomes
– The purpose of this assignment is to encourage you to think critically about the arguments and assumptions embedded in the literature. By asking yourself critical questions and assessing your own findings, you will be able to develop and refine your own research skills.
Eduphoria EDU933 Week 2 Homework Assignment – Advanced Quantitative Analysis
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EDU933 Week 2 Homework Assignment – Advanced Quantitative Analysis INSTRUCTIONS: For each assignment, you are required to submit a Microsoft Word
EDU933 Week 2 Assessment & Grading
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EDU933 Week 2 Suggested Resources/Books
Week 1 Quotient Rule for Set Theory (EDU933) Week 2
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EDU933 Week 2 Assignment (20 Questions)
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GTE 100 week 1 Assignment Summary of the Week’s Class Readings
Description: This document will be made available to you as a pdf file, and will include a summary of all readings for Week One in GTE 100. The purpose of this document is to allow you to practice summarizing your reading content through this week’s assignments.
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EDU933 Week 2 Assignment Question (20 Questions)
Week 2 Assignment Question (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Details: This discussion question is based on the research article, “Relationship between Life Expectancy and Risk of […]
EDU933 Week 3 Assignment Question (25 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 3 Assignment Question (25 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Details: This discussion question is
EDU933 Week 2 Discussion 1 (20 Questions)
Discuss a time you had to solve a real-world business problem. For the discussion, identify and describe a specific situation in which you used quantitative analysis to solve the problem. (25 points) Submit your response to Discussion Board Post your discussion answer by Day 7.
EDU933 Week 2 Learning Team Assignment Prepare an analytical presentation that supports your personal career goal. (8 Points)
EDU933 Week 3 Learning Team Assignment Portfolio (3 Pages) Create a portfolio of three significant pieces of work
EDU933 Week 2 DQ 1 (20 Questions)
Week 2 DQ 1 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Week 2 DQ 1 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933)Week 2 DQ 1 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933)Week 2 DQ 1 (20 Questions) for EDU933 – Advanced Quantitative Analysis (EDU933)
EDU933 Week 2 Discussion 2 (20 Questions)
Week 2 Discussion 2 (20 Questions) for EDU933 Week 2 Discussion 2 (20 Questions) For EDU933 Week 2 Discussion 2 (20 questions) For EDU933 Week 3 Assignment: Agenda Setting Essay for EDU933 – Advanced Quantitative Analysis (EDU933) Week 3 Assignment: Agenda Setting Essay for EDU933 Week 3 Assignment: Agenda Setting Essay for EDU933-Advanced Quantitative Analysis EDU/633 Week 4
EDU933 Week 2 DQ 2 (20 Questions)
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EDU933 Week 2 Quiz (20 Questions)
in Ch. 2 of the class. This is the second quiz in Week 2. You must pass all quizzes to move on to Week 3. To pass this quiz, you must get at least 65% of the questions correct (25 out of 38 questions). If you answer the question incorrectly, do not worry! The answers are provided at the end of the Quiz
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EDU933 Week 2 MCQ’s (20 Multiple Choice Questions)
#1. What does EDU933 Week 2 MCQ’s (20 Multiple Choice Questions) for EDU933 – Advanced Quantitative Analysis (EDU933) Course consist of?
D. Scoring sheets
E. All of the above
Answer: D Explanation:
Each question is worth 3 points and multiple choice questions are worth 5 points.
#2. Based on the data in the following table, find
EDU933 Week 3 Description
Course Details for EDU933 – Advanced Quantitative Analysis (EDU933) Course Name: EDU933 Week 3 Description for EDU933 – Advanced Quantitative Analysis (EDU933) Course Description for EDU933 – Advanced Quantitative Analysis (EDU933) Write a two to three (2-3) page paper describing the work of one quantitative analyst. Include the following in your paper: Explain how the work was done in terms of measurement, selection, data collection, analysis
EDU933 Week 3 Outline
Name: ________________________ Week 3 Outline for EDU933 – Advanced Quantitative Analysis (EDU933) Question: What are the advantages of using regression to analyze case studies? Question: What are the disadvantages of using regression to analyze case studies? Question: Do you agree with this statement: “It is possible that regression is not a reliable means for analyzing case studies.” If so, please justify your position. Answered by tutor 1 week ago
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EDU933 Week 3 Objectives
Week 3 Objectives for EDU933 – Advanced Quantitative Analysis (EDU933) Week 3 Viewable: Yes Q
EDU933 Week 3 Pre-requisites
WEEK 3: PRE-REQUISITES FOR EDU933 – ADVANCED QUANTITATIVE ANALYSIS (EDU933) Exercise 2: What is a ‘Regression’? Exploring Models and Regression Analysis This week, you will learn about: Models
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EDU933 Week 3 Duration
Week 3 Discussion Question Question 1. A 6-month- old child in another town dies of whooping cough. What effect is this likely to have on the number of children under the age of 5 that are vaccinated against whooping cough in South Carolina? (200 words) Discussion Question Answered […]
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EDU933 Week 3 Learning Outcomes
Click on the Assignment Files tab to submit your assignment. Week 1 Question 1 (page 6) – Basic econometrics: Descriptive statistics, hypothesis testing and linear regression. Week 2 Questions 1-3 (pages 7-8) – Basic econometrics: H0 vs. HA, confidence intervals, hypothesis testing, and linear regression. Week 3 questions
Marketing Mix Questions
BUSAD1200 Week Five Learning Outcomes for BUSAD1200 – Marketing Mix (
EDU933 Week 3 Assessment & Grading
May 14, 2020
Please use the assignment file provided for this week as a template. This will provide you with guidance on how to submit your assessment, including the rubric. The document also lists the minimum requirements and points that you should be striving for in completing the assessment correctly. Please note: You will not receive a grade or credit for attempting the assignment but rather a record of effort and feedback as well as positive feedback on completing the tasks assigned. There are no extensions
EDU933 Week 3 Suggested Resources/Books
Category: Course Material, E-Books
Suggested Resources/Books for EDU933 – Advanced Quantitative Analysis (EDU933) According to the syllabus for this course, students are required to complete eight assignments. You may choose any of the two available books to use as a resource and complete your assignments based on the readings you choose. Students are also required to complete an individual assignment in addition to completing all of their class assignments and an exam. Here are some suggestions on bo