N Math 160 Quiz 11 Name
., :-_ Due Thursday, May 9th
Use the 5 step method of hypothesis testing to test the claims given below. Use both the Critical Value and P value
methods.
1) Various temperature measurements are recorded at different times for a pa
PREDICT 400: Math for Modelers
Fall 2014
Carrie Dugan
carrie.dugan@northwestern.edu
Course Description
Review of fundamental concepts from calculus, linear algebra, and probability with a focus upon applications in
statistics and predictive modeling. The
PREDICT 401: Introduction to Statistical Analysis Syllabus
Fall 2011
Thom as W . Miller, Ph.D.
thomas-miller-0@northwestern.edu
Course Description
This course teaches students the fundamentals of conducting statistical analysis and interpreting and evalua
PREDICT 401: Introduction to Statistical Analysis Syllabus
Summer 2013
William T. Mickelson, PhD
william.mickelson@northwestern.edu
phone: (608) 556-4466 (cell)
Course Description
This course teaches students the fundamentals of conducting statistical ana
PREDICT 400: Math for Modelers
Winter 2015
Philip M. Goldfeder, Ph.D.
philip.goldfeder@northwestern.edu
Course Description
Review of fundamental concepts from calculus, linear algebra, and probability with a focus upon applications in
statistics and predi
PREDICT 402: Introduction to Predictive Analytics and Data Collection
FALL 2013
Nethra Sambamoorthi, Ph.D.
Nethra.sambamoorthi@northwestern.edu
Course Description
This course describes the appropriate uses of analytics and its limitations while defining h
PREDICT 402: Introduction to Predictive Analytics and Data Collection
Winter 2012
Nethra Sambamoorthi, Ph.D.
Nethra.sambamoorthi@northwestern.edu
Course Description
This course describes the appropriate uses of analytics and its limitations while defining
PREDICT 401: Introduction to Statistical Analysis - Sections 55 & 59 - Spring 2015
Matthew S McCallum, PhD
matthew-mccallum@northwestern.edu
* If you email me, please include your Section Number in the Subject line. It makes things
easier for me. I will n
PREDICT 400: Math for Modelers
Winter 2015
JENNIFER WIGHTMAN
jennifer.wightman@northwestern.edu
Course Description
Review of fundamental concepts from calculus, linear algebra, and probability with a focus upon applications in
statistics and predictive mo
MSIS-DL 317 Course Syllabus
S
MSIS-DL 317 Sylla
abus
Faisal Akkawi,
A
Ph
h.D.
Database
e Systems Design & Implementation
Fall
F 2011
Contact Information
E-mail: f-akkaw
wi@northwes
stern.edu
Office
O
Phone: 312-503-2418
8
Cell
C Phone: 70
08-772-6323
Offi
PREDICT 400: Math for Modelers
Fall 2016
Philip M. Goldfeder, Ph.D.
philip.goldfeder@northwestern.edu
Course Description
Review of fundamental concepts from calculus, linear algebra, and probability with a focus upon applications in
statistics and predict
Session 1
Review of Algebra
Main ideas of the week
Linear equations
Single equations
Systems of equations
Graphs
Creation
Interpretation
Word problems
Problem of the week
Dr. Phil has decided to retire from teaching
and make widgets full time. He
Springer Texts in Statistics
DavidRuppert
DavidS.Matteson
Statistics and Data
Analysis for Financial
Engineering
with R examples
Second Edition
Springer Texts in Statistics
Series Editors:
R. DeVeaux
S.E. Fienberg
I. Olkin
More information about this seri
PREDICT 400: Math for Modelers Section 59
Summer 2015
Carrie Dugan
carrie.dugan@northwestern.edu
Course Description
Review of fundamental concepts from calculus, linear algebra, and probability with a focus
upon applications in statistics and predictive m
PREDICT 411: Predictive Modeling II Syllabus
WINTER 2016
Donald K. Wedding, Ph.D.
Northwestern Email
SAS Email
: don.wedding@sas.com
Home Office Phone
Cell Phone
: donald.wedding@northwestern.edu
: 234-380-1391
: 234-380-7223
Discussion Boards: The best f
PREDICT 410: Predictive Modeling I Syllabus
INSTRUCTOR:
Winter 2016
William T. Mickelson, Ph.D.
william.mickelson@northwestern.edu
TEACHING ASSISTANT: Laurence Schneider
laurence.schneider@northwestern.edu
Course Description
This course develops the found
PREDICT 401: Introduction to Statistical Analysis Syllabus
Section 56
Fall 2015
Lorena Martin, Ph.D.
Lorena.martin@northwestern.edu
Course Description
This course teaches students the fundamentals of conducting statistical analyses. This includes interpre
Syllabus: PREDICT 413 Time Series and Forecasting Spring 2016 Section 59
Alianna J. Maren, Ph.D.
Page 1
PREDICT 413:
Time Series and Forecasting
Spring 2016
Course Syllabus
Important Note:
This is a PROVISIONAL syllabus. (03/14/2016)
Changes may occur to
PREDICT 451: Risk Analytics Syllabus
Fall 2016
Ernest Chan, Ph.D.
ernest.chan@northwestern.edu
Course Description
Building upon probability theory and inferential statistics, this course provides an introduction to the
analytical techniques prevalent in t
Discussion 3-3 | Realistic Deliverables
Often top management dictates the deliverables for a project, telling the team what the scope will
be, the available budget, and the deadline. In many situations, what they want is not realistic.
How might you use t
Role
Data Analyst
Data Analyst
Data Analyst
Data Analyst
Data Analyst
Data Analyst
Data Analyst
Program Manager
Program Manager
Program Manager
Program Manager
Program Manager
Program Manager
Program Manager
Technical Lead
Technical Lead
Technical Lead
Te
Discussion 6-1 | Sharing Experiences: Techniques to Shorten Project Duration
Weve considered reducing scope and adding resources to accelerate and/or shorten the duration
of a project. Share your experiences of how youve seen this done effectively (or not
Discussion 4-1 | Precedence Diagramming
Software
There are numerous precedence diagramming packages available on the Internet. Select one that
another student has not already reviewed and try it out. Write a brief review of it for the class.
Post I
In the
Discussion 3-1 | Different Estimating Methods
Think of a situation, perhaps on a project team, where you had to make some estimates. How did
you go about deriving them? Did you gather information from other sources? If so, who or what?
What did you find w
Discussion 6-3 | Reducing Project Scope
What are the advantages and disadvantages of reducing project scope to accelerate a project?
What can be done to reduce these disadvantages?
Post I
Achieving the project completion deadline within resource constrain
Discussion 3-2 | Estimating Hours Versus Days
Sometimes estimates are based on a past project, but instead of counting the number of hours an
employee worked (e.g. 10-hour days), the number of days is only counted. For example, you
might say that for proj
Discussion 4-3 | Give Me Some Slack!
Why is slack important to a project manager and what is the difference between free and total
slack?
Post I
From my understanding, Total Slack is the amount of time that allow a project to delay without
violating the p