- Date
- August 12-16, 2024
- Sponsor
- San Diego Chapter
- Location
- University of San Diego-
Knauss School of Business
5998 Alcala Park
San Diego, CA 92110
- Instructor
- Larry T. Wright, MAI, SRA, AI-GRS
- Class Time
- 30 hours
- Exam Time
- 3 Hours
- Full Price
- $1,300.00
- AI Price
- $1,000.00
Enroll by August 12!
View Pricing Options
Course Description
This course limits its focus to the practical application of quantitative tools for analyzing data, drawing appropriate conclusions from data sets, and presenting both the analysis and conclusions in ways that enhance communication with appraisal clients. It reviews and furthers the application of basic statistical measures (mean, median, mode, standard deviation, etc.) and spends a good deal of time on graphical and regression analysis for use in producing and understanding various types of graphs. Goals include showing participants how to understand the reliability and validity of all data used to draw conclusions and providing the knowledge needed to check the validity of the conclusions others may draw from the same or similar data sets. Presentations and activities use real-world appraisal applications that are aimed at furthering an appraiser’s ability to provide credible analysis of real property-related issues.
Note. This course is in both the Analytics for Valuation and Real Estate Analyst Professional Development Programs. Please view both Analytics FAQ and Real Estate FAQ, which includes information regarding the courses you’ll need to complete either program successfully.
Read More
Who Should Enroll
- General or residential Candidates for Designation who are working toward an MAI or SRA designation
- MAIs or SRAs who want to further their knowledge and skill base in statistics
- Certified general or residential real property appraisers
- Tax assessors
- Attorneys
- Bankers
- Review appraisers
- Market researchers
AI CE Points
Attend:
275
Attend & Pass Exam:
375
Pass Only:
325
State Approvals
| State | QE/CE | Course & Exam | Course Only | Exam Only | Delivery Format | Approval Format | Start Date | Expire Date | State Code |
|---|---|---|---|---|---|---|---|---|---|
| AK | CE | 30 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 19721 |
| AK | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 19721 |
| AL | CE | 35 | 32 | 3 | Classroom | Classroom | 10/01/2022 | 09/30/2024 | C02838 |
| AL | QE | 33 | 30 | 3 | Classroom | Classroom | 10/01/2022 | 09/30/2024 | C02838 |
| AR | CE | 30 | 30 | Classroom | Classroom | 11/20/2023 | 11/19/2025 | ||
| AR | QE | 33 | 30 | 3 | Classroom | Classroom | 11/20/2023 | 11/19/2025 | |
| AZ | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| AZ | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| CA | CE | 30 | 30 | Classroom | Classroom | 11/07/2023 | 11/06/2027 | 12754227 | |
| CA | QE | 33 | 30 | 3 | Classroom | Classroom | 11/07/2023 | 11/06/2027 | 12754227 |
| CO | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 2532 | |
| CO | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 2532 |
| CO | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 2532 |
| CT | CE | 18 | 18 | Classroom | Classroom | 11/15/2021 | 11/15/2024 | AAL.000851 | |
| CT | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | APR.000322 |
| DC | CE | 33 | 30 | 3 | Classroom | Classroom | 02/29/2024 | 02/28/2026 | |
| DC | QE | 33 | 30 | 3 | Classroom | Classroom | 02/29/2024 | 02/28/2026 | 4052 |
| DE | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| DE | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| FL | CE | 20 | 20 | Classroom | Classroom | 02/24/2024 | 02/23/2026 | 0008959 | |
| FL | QE | 30 | 30 | Classroom | Classroom | 02/24/2024 | 02/23/2026 | 0008958 | |
| GA | CE | 30 | 30 | Classroom | Classroom | 01/06/2012 | 62511 | ||
| GA | QE | 33 | 30 | 3 | Classroom | Classroom | 01/05/2012 | 62510 | |
| HI | CE | 32 | 32 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | 23-391 | |
| HI | CE | 35 | 32 | 3 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | 23-391 |
| HI | QE | 35 | 32 | 3 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | 23-391 |
| IA | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | A518-1185 | |
| IA | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | A518-1186 |
| IA | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | A518-1187 |
| ID | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | |
| ID | QE | 33 | 30 | 3 | Classroom | Classroom | 03/28/2022 | 01/25/2027 | |
| IL | CE | 30 | 30 | Classroom | Classroom | 01/01/2023 | 12/31/2024 | 575.001729 | |
| IL | QE | 33 | 30 | 3 | Classroom | Classroom | 01/01/2023 | 12/31/2024 | 573.000579 |
| IN | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| IN | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| KS | CE | 32 | 32 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | 220.C24.R | |
| KS | QE | 35 | 32 | 3 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | 323.P24.R |
| KY | CE | 35 | 32 | 3 | Classroom | Classroom | 07/01/2023 | 06/30/2024 | |
| KY | QE | 35 | 32 | 3 | Classroom | Classroom | 07/01/2023 | 06/30/2024 | |
| LA | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | A0195 | |
| LA | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | A0195 |
| MA | CE | 32 | 32 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 10051223 | |
| MA | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 10051224 |
| MD | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| MD | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| ME | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| ME | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| MI | CE | 30 | 30 | Classroom | Classroom | 01/26/2021 | 11/20/2026 | 20 - 1092450 | |
| MI | QE | 33 | 30 | 3 | Classroom | Classroom | 03/06/2024 | 01/25/2025 | 20 - 1092430 |
| MN | CE | 33 | 30 | 3 | Classroom | Classroom | 04/01/2024 | 03/31/2026 | 1010746 |
| MN | CE | 30 | 30 | Classroom | Classroom | 04/01/2024 | 03/31/2026 | 1010747 | |
| MN | QE | 33 | 30 | 3 | Classroom | Classroom | 04/01/2024 | 03/31/2026 | 1010744 |
| MO | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | |
| MO | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | |
| MS | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | MAB #49711 | |
| MS | CE | 30 | 30 | Classroom | Classroom | 02/22/2024 | 01/25/2026 | MAB #49711 | |
| MS | CE | 33 | 30 | 3 | Classroom | Classroom | 02/22/2024 | 01/25/2026 | MAB #49711 |
| MT | CE | 30 | 30 | Classroom | Classroom | 11/23/2020 | 01/25/2025 | REA-CEC-REC-16816 | |
| MT | QE | 33 | 30 | 3 | Classroom | Classroom | 11/23/2020 | 01/25/2025 | REA-CEC-REC-16816 |
| NC | QE | 33 | 30 | 3 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | |
| ND | CE | 35 | 32 | 3 | Classroom | Classroom | 01/26/2015 | ||
| ND | QE | 35 | 32 | 3 | Classroom | Classroom | 01/26/2015 | ||
| NE | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 1181404.02 |
| NJ | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 2023-3443 | |
| NJ | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 2023-3443 |
| NM | CE | 30 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 4353 |
| NM | CE | 30 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 4353 |
| NM | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 4353 |
| NV | CE | 30 | 30 | Classroom | Classroom | 11/22/2023 | 10/31/2024 | CE.0008908-A | |
| NV | QE | 33 | 30 | 3 | Classroom | Classroom | 04/01/2024 | 03/31/2025 | PL.0008551-A |
| NY | CE | 30 | 30 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | A4268-28 | |
| NY | QE | 33 | 30 | 3 | Classroom | Classroom | 09/30/2023 | 09/30/2024 | |
| OH | CE | 32 | 32 | Classroom | Classroom | 01/01/2024 | 12/31/2024 | 084401304A 22 | |
| OH | QE | 33 | 30 | 3 | Classroom | Classroom | 01/01/2012 | ||
| OH | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| OK | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 819 | |
| OK | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | 662 |
| OR | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | APIN-Q-1123-9015 |
| OR | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | APIN-Q-1123-9015 |
| PA | CE | 30 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | |
| PA | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | |
| PR | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| PR | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| RI | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | REA.0002113-CE | |
| RI | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | REA.0002113-CE |
| SC | QE | 35 | 32 | 3 | Classroom | Classroom | 09/01/2022 | 08/31/2024 | QEE1506 |
| TN | CE | 30 | 30 | Classroom | Classroom | 03/01/2024 | 02/28/2026 | 1548 | |
| TN | QE | 33 | 30 | 3 | Classroom | Classroom | 03/01/2024 | 02/28/2026 | 1548 |
| TX | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2023 | 01/31/2025 | TX Provider #:10 Course #:43263 |
| TX | CE | 30 | 30 | Classroom | Classroom | 04/23/2023 | 01/31/2025 | TX Provider #:10 Course #: 43263 | |
| TX | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2023 | 05/31/2025 | TX Provider #: 8038 Course #: 46662 |
| UT | CE | 30 | 30 | Classroom | Classroom | 07/01/2023 | 06/30/2025 | AC230611 | |
| UT | QE | 35 | 32 | 3 | Classroom | Classroom | 11/01/2023 | 10/31/2025 | AQ231006 |
| VA | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| VA | QE | 35 | 32 | 3 | Classroom | Classroom | 04/01/2023 | 03/31/2025 | 4006000793 |
| VT | CE | 30 | 30 | Classroom | Classroom | 02/28/2024 | 11/29/2027 | CA-218785 | |
| VT | QE | 33 | 30 | 3 | Classroom | Classroom | 02/28/2024 | 11/29/2027 | CA-218783 |
| WA | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | A23035118 | |
| WA | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | A23035118 |
| WI | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| WI | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | 76615 |
| WV | CE | 30 | 30 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | ||
| WV | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2025 | |
| WY | CE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 | |
| WY | QE | 33 | 30 | 3 | Classroom | Classroom | 01/26/2024 | 01/25/2027 |
Course Objectives
- Properly apply and explain statistical methods such as simple and multiple regression analysis using market information.
- Critique statistical applications.
- Identify how to incorporate statistical analysis in valuation reports.
- Identify how to evaluate the reliability of various types of data used in valuation.
- Use the language of quantitative analysis properly.
- Use graphs to present data and analysis.
- Identify research design issues such as hypothesis construction, data reliability and validity, and sampling issues.
Course Details
Program Overview:
Table of Contents and Overview
Course Schedule
Assignments:
Yes. A pre-class, 2-hour online session.
Equipment:
- A financial calculator is required. The accepted model used in the program is the HP-12C. AI education programs that require a financial calculator are developed with HP-12C keystrokes; using this model is highly recommended.
- You must be familiar with calculator operation when the program begins. Do not enroll expecting to be taught how to use a financial calculator.
- For more information and a free review, click here.
- For additional help with the HP-12C calculator, take our online seminar Using Your HP-12C Financial Calculator
- HP-12C calculator User's Manual.
Additional Information:
Course Materials Include:
- Course Handbook (462 pp.)
- Solutions Booklets (158 pp.)
- Downloads (822 KB)
Please review the FAQs for important information regarding registration and cancellation deadlines; mandatory diagnostic test; online session; and course equivalencies.
Designated members, Candidates for Designation and Practicing Affiliates will receive the discounted AI Price for
the MAI designation courses: Advanced Income Capitalization, Advanced Market Analysis and Highest Best Use, Advanced Concepts and Case Studies, and Quantitative Analysis. All others will pay full price.
You will be asked to clear the calculator’s memory before and after the examination. Only one calculator is permitted in the testing room. Examinees taking most AI exams may bring their own calculator to use during the exam. Laptops, cellular phones, tablets, iPads, wearable technology (smart watch, Apple Watch, Google Glass, etc.), and other devices that can store data or connect to the Internet are NOT permitted during the exam. In addition, all watches, wallets, bags, and purses must be removed and stored out of reach prior to taking the exam.
For more information on how to become a Candidate for Designation, click here.
Important Note: Mandatory Diagnostic Test
Before enrolling in this or any other MAI designation course, you must take a diagnostic test. The Excel diagnostic tests your mastery of solving appraisal problems using spreadsheets. This diagnostic test was intentionally designed to be challenging and ensure participants have adequate Excel skills before taking MAI designation courses. For more information, check out the Diagnostic FAQ.
Important Note: Mandatory Diagnostic Test
Before enrolling in this or any other MAI designation course, you must take a diagnostic test. The Excel diagnostic tests your mastery of solving appraisal problems using spreadsheets. This diagnostic test was intentionally designed to be challenging and ensure participants have adequate Excel skills before taking MAI designation courses. For more information, check out the Diagnostic FAQ.
Excel is used extensively in the MAI designation courses; it is highly recommended that you know how to perform the necessary appraisal functions in Excel to succeed in this course.
The diagnostic test is free and can be taken at any time on your personal computer. To register for the test, please click here.
This course implements a blended learning approach, which includes:- A pre-class, 2-hour online session
- 30 hours of traditional classroom education
- A 3-hour exam on the 5th morning.
This course is in the Analytics for Valuation Professional Development Program. View this list of FAQs, which includes information regarding the courses you’ll need to complete the program successfully.
You will be asked to clear the calculator’s memory before and after the examination. Only one calculator is permitted in the testing room. Examinees taking most AI exams may bring their own calculator to use during the exam. Laptops, cellular phones, tablets, iPads, wearable technology (smart watch, Apple Watch, Google Glass, etc.), and other devices that can store data or connect to the Internet are NOT permitted during the exam. In addition, all watches, wallets, bags, and purses must be removed and stored out of reach prior to taking the exam.
Requirements:
- Microsoft Excel 2010 must be loaded and operational (external mouse recommended). (You may use other spreadsheet programs, but those programs won’t be supported in class; demonstrations will be done in Excel.)
- Do not enroll expecting to be taught how to use Excel.
- Note to Mac users: Microsoft does not support the Data Analysis Tool Pack in Mac Office Excel 2008 or Mac Office Excel 2011. However, they do suggest free third-party add-ins with similar functionality. For 2008, click here. For 2011, click here.
Prerequisites
Required:
Recommended:
- Real Estate Finance, Statistics, and Valuation Modeling or university-level introduction to statistics course
- Using Spreadsheet Programs in Real Estate Appraisals - The Basics or similar course/seminar
Course Materials & Recommended Books
Required Text:
Recommended Text:
Pricing Options
| Rate | Full Price | AI Price |
|---|---|---|
| Standard
Today thru 08/12/2024 |
$1,300.00 | $1,000.00 |
Have Exam Questions?
Additional Course Offerings
| Sponsor | Date | Location | Format | ||
|---|---|---|---|---|---|
| South Texas Chapter | June 10-14, 2024 | San Antonio, TX | Classroom | View Details | Register |
| Appraisal Institute | October 1-11, 2024 | Synchronous | View Details | Register | |
| Wisconsin Chapter | October 14-18, 2024 | Milwaukee, WI | Classroom | View Details | Register |
Event Information
The San Diego Chapter of the Appraisal Institute is pleased to offer
MAI Designation Course:
QUANTITATIVE ANALYSIS
AUGUST 12-16, 2024
Who should enroll:
• General real property appraisers who want to improve their ability to apply appraisal methods, techniques, and procedures
• Candidates for Designation who are working toward an MAI designation
Course Schedule:
Days 1-4 August 12 – 15: 8:30 am – 5:00 pm Instruction
Day 5 August 16: 8:30 am – 11:30 am Exam
Tuition: AI Price: $1000.00 Full Price: $ 1300.00
Instructor: Larry Wright, MAI, SRA, AI-GRS
Location:
Knauss School of Business
University of San Diego
5998 Alcalá Park
San Diego, CA 92110-2492
Phone: (619) 260-5997
IMPORTANT INFORMATION
Please review the FAQs for important information regarding registration and cancellation deadlines; mandatory diagnostic test; online session; and course equivalencies.
Designated members, Candidates for Designation and Practicing Affiliates will receive the discounted AI Price for the MAI designation courses: Advanced Income Capitalization, Advanced Market Analysis and Highest Best Use, Advanced Concepts and Case Studies, and Quantitative Analysis. All others will pay full price. For more information on how to become a Candidate for Designation, click here.
Important Note: Mandatory Diagnostic Test
Before enrolling in this or any other MAI designation course, you must take a diagnostic test. The Excel diagnostic tests your mastery of solving appraisal problems using spreadsheets. This diagnostic test was intentionally designed to be challenging and ensure participants have adequate Excel skills before taking MAI designation courses. For more information, check out the Diagnostic FAQ.
Excel is used extensively in the MAI designation courses; it is highly recommended that you know how to perform the necessary appraisal functions in Excel to succeed in this course.
The diagnostic test is free and can be taken at any time on your personal computer. THIS IS A ONE TIME TEST; if you have taken it before in preparation for another designation course, you do not need to take it again. To register for the test, please click here.