Employment Law Outline
I. The Development of Employment Law
1. Bammert v. Don's Super Value  Public Policy Exception does not extend to Retaliatory
Discharge based upon the conduct of a nonemployee spouse (wife fired whose husband arrested
her boss' wif
EMPLOYMENT LAW OUTLINE
BRUDNEY, SPRING 2008
I. Historical Overview and the Concept of Employee Status.3
1. Overview and Some
History.3
Bammert v. Don's Super Value  Public Policy Exception to AtWill Employment
(wife whose husband arrested her boss' wife
Meaning of Work and the Changing of Workplace
Meaning of Work
Work as a vitue
o Example: Protestantism views work as parallel with self sufficiency and
industriousness
Work helps with selfworth
o Society views unemployment as weakness
o Gives the ability
EMPLOYMENT LAW ATTACK OUTLINE
Employees vs. Independent Contractors
DialAmerica Factors:
o (1) Employers right to control the manner of work.
o (2) Employees opportunity for profit/loss depending on managerial skill.
o (3) Employees investment in equipme
QUANTITATIVE METHODS FOR HUMAN RESOURCE AND LABOR RELATIONS
LIR 842

Spring 2007
Hypothesis Testing
LIR 832 Lecture #3 January 30, 2007
Topics of the Day
A. Our Fundamental Problem Again: Learning About Populations from Samples B. Basic Hypothesis Testing: One Tailed Tests Using a Z Statistic
25 or  6
C. Probability and C
LIR 832
DATA SOURCES
GUIDE TO ECONOMIC DATA SOURCES ON THE INTERNET
The hows and wheres of economic data on the web
This guide is designed to familiarize students with important sources of data on the internet. This guide covers three topics for t
All Cancers
Cancer Mortality Rates by County (Ageadjusted 1970 US Population)
All Cancers: White Males, 195069
64
US = 184.46/100,000
190.66275.65 (highest 10%) 178.69190.65 170.18178.68 164.13170.17 158.47164.12 153.20158.46 147.52153.19
LIR 832: MINITAB WORKSHOP SEPTEMBER ?, 2006
Opening Minitab Minitab will be in the Start Menu under "Net Apps". Opening the Data Go to the following web site: http:/www.msu.edu/course/lir/832/Datasets.htm Rightclick and "Save Target As." on the link
Topics for This Evening
What Are the Characteristics of Good Research?
Tufte Loury Boiler Plate Questions
How Do We Handle Qualitative Data in a Regression?
Dummy Variables
LIR 832 Lecture 8
The Good, the Bad and the Ugly: Tufte: Good and Bad Anal
Regression: An Introduction
February 20, 2007 LIR 832
Catching up.
1. How to calculate covariances and correlations if you have probability data (grouped data). 2. MINITAB: Tables, Covariance, Correlation 3. Regression: An introduction
1
Regressi
Regression: Choosing Variables
LIR 832 November 14, 2006
Topics of the Day.
Choosing Independent Variables
What variables should be in a model? What is the effect of leaving out important variables? What is the effect of adding in irrelevant variab
Regression Continued: Functional Form
LIR 832 December 5, 2006
Topics for the Evening
1. 2.
Qualitative Variables Nonlinear Estimation
Functional Form
Not all relations among variables are linear:
Our basic linear model: y=0+ 1X1 + 2X2 +.+ kXk +
Multivariate Methods
LIR 832 February 13, 2007
Multivariate Methods: Topics of the Day
A. Isolating Interventions in a multicausal world B. Multivariate probability Distributions C. The Building Block: covariance D. The Next Step: Correlation
1
Regression: Choosing Variables
LIR 832 November 14, 2006
Topics of the Day.
Choosing Independent Variables
What variables should be in a model? What is the effect of leaving out important variables? What is the effect of adding in irrelevant variab
Topics for This Evening
What Are the Characteristics of Good Research?
Tufte Loury Boiler Plate Questions
How Do We Handle Qualitative Data in a Regression?
Dummy Variables
LIR 832 Lecture 8
The Good, the Bad and the Ugly: Tufte: Good and Bad Anal
Regression Continued: Functional Form
LIR 832 December 5, 2006
Topics for the Evening
1. 2.
Qualitative Variables Nonlinear Estimation
1
Functional Form
Not all relations among variables are linear:
Our basic linear model: y=0+ 1X1 + 2X2 +..+ k
Regression: An Introduction
February 20, 2007 LIR 832
Catching up.
1. How to calculate covariances and correlations if you have probability data (grouped data). 2. MINITAB: Tables, Covariance, Correlation 3. Regression: An introduction
Regression
Hypothesis Testing
LIR 832 Lecture #3 January 30, 2007
Topics of the Day
A. Our Fundamental Problem Again: Learning About Populations from Samples B. Basic Hypothesis Testing: One Tailed Tests Using a Z Statistic
25 or  6
C. Probability and C
Multivariate Methods
LIR 832 February 13, 2007
Multivariate Methods: Topics of the Day
A. Isolating Interventions in a multicausal world B. Multivariate probability Distributions C. The Building Block: covariance D. The Next Step: Correlation
A M
Univariate Statistics
LIR 832 Class #2 January 16, 2007
Topics for Next Four Lectures
Fundamental Problem in Statistics: Learning about populations from samples Describing Data Compactly:
How we might describe data, why compactness matters. Measu
Formula Sheet: Midterm Exam: LIR 832 SPRING, 2006
1. POPULATION MEAN :
=
1 m X m j =1 j
2. POPULATION VARIANCE
2 =
1 m ( Xi  )2 m i=1
POPULATION STANDARD DEVIATION
= 2 =
i=1
( X i  )2
m
m
3. SAMPLE MEAN x=
1 n
x
i =1
n
i
4. SAMP
LIR 832: Problem Set #3 Joint Distributions, Covariance and Correlation Joint distributions are the building blocks of multivariate statistics. This problem set consists of two problems to provide you with practice with bivariate distributions.
1.
LIR 832: Midterm Examination: Fall, 2003
Each Problem is worth 20 points. Answer five of the six problems. Problems should be answered as thoroughly as you are able. Partial credit on problems is only possible if I can locate errors in your calcula
LIR 832: Final Examination: Spring, 2005 This examination is divided into two sections, each is potentially worth 50 points. The first section consists of four problems. You are to answer three of the four, each problem is worth 16.66667 points. Prob
LIR 832: Final Examination: Fall, 2004 This examination consists of two parts. The first, worth 60 points consists of three problems each worth 20 points. You are to answer three of your choice. If you answer four, I will base your grade on the three
LIR 832: Midterm Examination: Spring, 2003 Each Problem is worth 20 points. Answer five of the six problems. Problems should be answered as thoroughly as you are able. Partial credit on problems is only possible if I can locate errors in your calcul
Computer Problem Set #2 Spring 2007 Tables, Covariances and Correlations We will be using the 20% subsample of the Manager and Professional data set that you used in your last computer problem set. You will also want to refer to the UNICON codebook