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Course: STATISTICS 3401, Fall 2009
School: CSU Mont. Bay
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CSU Mont. Bay - ECONOMICS - 6400
CALIFORNIA STATE UNIVERSITY, HAYWARD ECONOMICS DEPARTMENT Economics 6400 SEMINAR: ECONOMETRICS Winter 2005 Project I In this project you are asked to critically evaluate the Statistics used in a published Econometrics research paper that uses Multipl
CSU Mont. Bay - STATISTICS - 6870
CALIFORNIA STATE UNIVERSITY, EAST BAY STATISTICS DEPARTMENT Statistics 4870/6870 Bayesian Statistics Summer 2007 Project The project for the class will be to nd a topic of interest to you and to nd an example WinBUGS program to understand, run, and i
CSU Mont. Bay - STATISTICS - 3502
CSU Hayward Statistics DepartmentMinitab Printouts For Simple Linear Regression1. Data and Data DescriptionWe use Example 10.2 of Ott: An Introduction to Statistics and Data Analysis (4th ed) to illustrate regression using Minitab. The data are y
CSU Mont. Bay - STATISTICS - 3502
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS STATISTICS 3502 Spring 2001 Lecture: MW 4-5:50 ScN 207 Instructor: Prof. Eric A. Suess Office: ScN 319 Phone: 885-3879 e-mail: esuess@csuhayward.eduOffice Hours: MW 3:00-4:00 or by appoi
CSU Mont. Bay - STATISTICS - 3502
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS STATISTICS 3502 Spring 2001 Lecture: MW 4-5:50 ScN 207 Instructor: Prof. Eric A. Suess Office: ScN 319 Phone: 885-3879 e-mail: esuess@csuhayward.eduOffice Hours: MW 3:00-4:00 or by appoi
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackChapter 14Discrete DistributionsMultiple Regression AnalysisBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.14-1Learning Objectives Develop a multiple regression model. Understand and app
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackChapter 17Discrete DistributionsNonparametric StatisticsBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.17-1Learning Objectives Recognize the advantages and disadvantages of nonparametric
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackDiscrete DistributionsChapter 19 Decision AnalysisBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.19-1Learning Objectives Learn about decision making under certainty, under uncertainty, an
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackDiscrete DistributionsChapter 18 Statistical Quality ControlBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.18-1Learning Objectives Understand the concepts of quality, quality control, and
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackChapter 13Discrete DistributionsSimple Regression AnalysisBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.13-1Learning Objectives Compute the equation of a simple regression line from a sa
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackChapter 11Discrete DistributionsAnalysis of Variance &amp; Design of ExperimentsBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.11-1Learning Objectives Understand the differences between vario
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackChapter 15Discrete DistributionsBuilding Multiple Regression ModelsBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.15-1Learning Objectives Analyze and interpret nonlinear variables in mult
CSU Mont. Bay - STATISTICS - 6011
Business Statistics, 4eby Ken BlackChapter 16Discrete DistributionsTime Series Forecasting &amp; Index NumbersBusiness Statistics, 4e, by Ken Black. 2003 John Wiley &amp; Sons.16-1Learning Objectives Gain a general understanding of time series f
CSU Mont. Bay - STATISTICS - 1000
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS STATISTICS 1000 Spring 2005 Lecture: MWF 10:40-12:05 NSc 207 Instructor: Prof. Eric A. Suess Office: ScN 319 Phone: 885-3879 Office Hours: MWF 10:40-11:40 or by appointment and 24/7 by e-m
CSU Mont. Bay - STATISTICS - 1000
Statistics 1000 Final Exam Part I: A 20 question multiple choice test will be give by the Department of Statistics, this is the Stat. 1000 common part of the final. This test is a closed book closed notes exam. A scantron will be provided. The test c
CSU Mont. Bay - STATISTICS - 1000
Statistics 1000 Spring 2005 Prof. Suess Take-home Quiz 4Name:_ (print: first last ) NetID:_For the Chance Questionnaire data tally the results. See the class website for the Minitab worksheet survey1.mtw. 1. For each variable on the questionnaire
CSU Mont. Bay - STATISTICS - 1000
Statistics 1000 - Midterm Review To study for the Midterm you should review all of the follow: 1. 2. 3. 4. homework quizzes and class questions class notes chapters 1-5The Midterm will be closed book and closed class notes. You may bring in 3 pages
CSU Mont. Bay - STATISTICS - 1000
Statistics 1000 Midterm 2 Review The second midterm will cover the material covered since the last midterm. You should review the following. Class notes, the book, and the homework. Important topics include: Correlation Regression and predic
CSU Mont. Bay - STATISTICS - 1000
Stat. 1000: Histograms, measures of center, and variation 1. For the following 3 datasets plot a stem-and-left plot and compute the mean and median. a. 10, 23, 25, 30 b. 10, 23, 25, 42 c. 10, 23, 25, 50 2. The mail delivery on a Tuesday by the lawyer
CSU Mont. Bay - STATISTICS - 1000
Statistics 1000 Chapter 3 Gathering Useful Data Things to know from this chapter: What is the difference between Descriptive Statistics and Inferential Statistics? Why does a sample need to be representative? What is the population? What is a sample?
CSU Mont. Bay - STATISTICS - 1000
CALIFORNIA STATE UNIVERSITY, HAYWARD STATISTICS DEPARTMENT Statistics 1000 Elements of Probability and Statistics MINI-PROJECT 1Measure your pulse rate 25 times over the next few days, but don't take more than one measurement in any 10-minute period
CSU Mont. Bay - STATISTICS - 1000
CALIFORNIA STATE UNIVERSITY, HAYWARD STATISTICS DEPARTMENT Statistics 1000 Elements of Probability and Statistics MINI-PROJECT 2a Flip a coin 100 times. Stop after each time you have accumulated 10 more flips (i.e. after 10 flips, 20 flips, 30 flips,
CSU Mont. Bay - STATISTICS - 39004950
Statistics 3900/4950 Spring 2005 Prof. Suess Take-home MidtermName:_ (print: first last ) NetID #:_Instructions: This is the take-home part of the Midterm exam. You may use your books, notes and a computer. Give concise but detailed answers for f
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CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS Statistics 3601 Introductory Statistics for Scientists and EngineersSpring 2003Midterm #2Instructions: This is a take home exam. You may use books, notes, and Minitab. Show your work
CSU Mont. Bay - STATISTICS - 39004950
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS STATISTICS 3900/4950 Fall 2004 Lecture: MW 4:00-4:50, ScN207 Instructor: Prof. Eric A. Suess Office: ScN 319 Phone: 885-3879 e-mail: esuess@csuhayward.eduOffice Hours: MW 3:00-3:50 or by
CSU Mont. Bay - STATISTICS - 6011
Fear, Logic and Tragedy, Looking for Meaning in CoincidenceLEAD STORY-DATELINE: ABC news, November 1999.Four airplanes crashed off the East Coast in recent years. Has this become the US version of the Bermuda Triangle? Humans often look to discover
CSU Mont. Bay - ECONOMICS - 6400
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS ECOMOMICS 6400 Seminar in Econometrics Regression of house price on square footage Open the sample data set data3-1. File &gt; Open data &gt; sample file &gt; Ramanathan Click on data3-1 Problem: P
CSU Mont. Bay - ECONOMICS - 6400
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS ECOMOMICS 6400 Seminar in Econometrics Examples: Serial Correlation Example 1: Read Example 9.1 pages 381-382 and Example 9.2 pages 387-388, open the dataset DATA6-6, and run the Practice
CSU Mont. Bay - STATISTICS - 6250
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS STATISTICS 6250 - Statistical Programming SPRING 2008 Lecture: TTh 8 9:50pm, ScN207 Instructor: Prof. Eric A. Suess Office: ScN 229 Phone: 885-3879 e-mail: eric.suess@csueastbay.edu Offic
CSU Mont. Bay - ECONOMICS - 6400
CALIFORNIA STATE UNIVERSITY, HAYWARD DEPARTMENT OF STATISTICS ECOMOMICS 6400 Seminar in Econometrics Example: Forecasting Read Problem 6.21 page 282 Open dataset data6-6 File &gt; Open data &gt; sample file &gt; Ramanathan double click on Data6-6 US Farm Popu
CSU Mont. Bay - FOLLOWUP - 2
From the Exploring Data website - http:/curriculum.qed.qld.gov.au/kla/eda/ Education Queensland, 1997Scatterplots1. The Challenger Disaster On January 28, 1986 the space shuttle Challenger exploded. Seven astronauts died because two large rubber
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Statistics 6402 Graduate Probability II Winter 2005 Prof. Suess Midterm 21. Do problems from Ross Ch. 6 23 (see page 351 Example 6.1 and see page 370-371). Use QtsPlusBasic &gt; Birth-and-Death Model to verify your answers. 2. Read Ch. 8. Do problems
CSU Mont. Bay - STATISTICS - 39004950
Statistics 3900/4950 Regression Project Find a dataset of interest to you that can be analyzed using multiple linear regression techniques. The data set should have one quantitative dependent variable Y and at least 2 independent quantitative variabl
CSU Mont. Bay - SURVEY - 2002
Survey Comments 001-020 ID# 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 Response? No No No No No Yes No No No No No No No Yes Yes No No No Yes CommentTechnology cant be engineered by bureaucratic staff and centralize
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2003
CSU Mont. Bay - SURVEY - 2003
CSU Mont. Bay - SURVEY - 2002
Office of Faculty Development Technology Survey Summary, Spring 2002October 12, 2002 prepared by Prof. Eric A. Suess Department of Statistics CSU Hayward During the Spring Quarter 2002 the Office of Faculty Development conducted its first Technology
CSU Mont. Bay - SURVEY - 2002
Dear Colleague, Please take a moment to fill out the attached Faculty Technology Survey and return it in a campus envelope to The Office of Faculty Development by June 15th. We intend to use the results of this survey to design and develop new campus
CSU Mont. Bay - SURVEY - 2002
Faculty Technology Survey1. Rank your level of confidence in using: not confident Email 1 Internet/WWW 1 Blackboard 1 Word 1 PowerPoint 1 Smart Classroom 1 Web page creation 1 New tech tools for classroom use 1 New tech tools for research 1 New tech
CSU Mont. Bay - SURVEY - 2002
Question 1. Rank your level of confidence in using: Q1a confidence email Cumulative Cumulative Q1AEMAIL Frequency Percent
CSU Mont. Bay - SURVEY - 2003
SECOND MEETING NOTES 9/4/03 1. Read in Excel file in SAS use: PROC IMPORT PROC FORMAT PROC LABEL (pg. 66 Cody and Smith book) 2. Bargraph use: PROC CHART PROC GCHART Descriptive Statistics use: PROC UNIVARIATE (categories) PROC FREQ (sample size) 3.
CSU Mont. Bay - SURVEY - 2003
QUESTION DESCRIPTION RESPONSES- 1 Q1a-Q1j 1= not confident 3= confident 2= somewhat confident 4= highlyconfident- 2 Q2a-Q2j 1= not interested 3= interested
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
DATA CORRECTIONS:SURVEYID-166-167Q7 ALL 0 AND 1 HAVE BEEN CORRECTED AS 1 = NO AND 2 = YES174Q3D THE 11 HAS BEEN CHANGED TO 1
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
Question 6. Where do you use a computer to complete academic work? Q6a home Cumulative Cumulative Q6AHOME Frequency Percen
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002
CSU Mont. Bay - SURVEY - 2002