Civics 101
A Primer on the Constitution
Unit Learning Objectives
Know how a Bill becomes a law
Know how are Senators allocated among the
states
Know how the House of Representatives is
Know the branches of the US government
apportioned
Know how the E
*How to Brief a
Case
Briefs should be a one page summary of the
case. Not every case, however, can be summed
up in one page but it is good training and
discipline to try to condense the material onto
one page.
The purpose is to show you that we are dealin
UNIVERSITY OF SOUTH CAROLINA
COLLEGE OF HOSPITALITY, RETAIL, & SPORTS MANAGEMENT
SPTE 240 Business Law
Sections 2 & 3
Fall 2017
I.
General Information
TT
Credit Hours 3
Instructor: George R. Burnett
Office Hours: 2.30 4.00 TT
Office # 2012 i
Email: burnet
STAT 201: Elementary Statistics
Fall 2017
Chapter 2: Exploring Data
Lecturer: Zichen Ma
1.
Categorical vs Quantitative Data
Definition 2.1. Based on the possible values it can take on, a variable can be categorical or
quantitative.
Categorical (qualitati
STAT 201: Elementary Statistics
Fall 2017
Chapter 1: Introduction
Lecturer: Zichen Ma
Definition 1.1. Statistics is the art and science of designing studies and analyzing the data that
those studies produce. Its ultimate goal is translating data into know
36-226 Introduction to Statistical Inference
Final Solutions
1. Use your method of choice or cite properties to answer the following.
N (0, 1 ). (4 pts)
(a) Let Xi be i.i.d. N (0, 1) for i = 1, 2, ., n. Show X
n
1 P
There are a few ways to show this one.
36-226 Introduction to Statistical Inference
Final
May 8th, 2015
You must show all of your work and/or explain your steps in order to get full credit or be
considered for partial credit. This is a closed book/closed notes exam. You may use the formula
she
Chapter 5
Ex:
Prcfw_
Y >550
1-pnorm(550,
when n = 4
Y
,
Y
)
Sampling Variability: Variability among random samples from the same population
Sampling Distribution: Probability distribution that characterizes some aspect of sampling
variablility.
As n get
NEW? 1 :EESELZ
STAT 509 Fall 2016
QUIZ 2
September 12, 2016
Given the following function complete the table below:
3x+4
f (x)
x L 0 I 2
. 1 : 3 : 4 i
5. I). E. 7 so
"L" "750 7/50 Llo'b I750 M; 0/50 "57> " J- 3
M "7502052) 3750"? E=R=Q=7
Eff") 0 L757)
NAME
STAT 509 Fall 2015
Sections E02 and E03
QUIZ1
September 2, 2015
Formulas:
Conditional Probability Definition: P(B | A) = P(A n B) / P(A)
Additive law: P(A U B) = P(A) + P(B) - P(A f l B)
Multiplicative law: P(A D B) = P(A | B)P(B) = P(B | A)P(A)
Law
STAT 509 Fall 2016
QUIZ 11
November 21, 2016
Completely Randomized Single Factor Experiment
it is suspected that the strength of a synthetic fiber is related to the percentage of cotton in the fiber.
Five levels of cotton percentage are tested and five
Name
STAT 509 Fall 2016
Optional Take Home QUIZ 12
Due November 30, 2016
Regression Analysis
An article in the Journal of Sound and Vibration described a study investigating the relationship between
noise exposure and hypertension. The following data are
Name
STAT 509 Fall 2016
QUIZ 10
November 16, 2016
Confidence Interval and Hypothesis Test for Two Population Means
Two suppliers manufacture a plastic gear used in a laser printer. The impact of these gears measured in foot-pounds is an Important
characte
Name_
STAT 509 Fall 2016
QUIZ 8 Solution
October 31, 2016
Hypothesis Test on the Mean
Medical researchers have developed a new artificial heart. The heart will last almost indefinitely once it
is implanted in the body, but the battery pack needs to be rec
Name
STAT 509 Fall 2015
Sections E02 and E03
Q U I Z y f?
October 26, 2015
Confidence Interval on the Mean
An article in Computers & Electrical Engineering, (1996, Vol.22) considered the speedup of cellular neural networks
(CNN) for a parallel general-pur
Name_
STAT 509 Fall 2016
QUIZ 5
October 10, 2016
Descriptive Statistics
1. The lengths of manufactured parts in millimeters are given below. Calculate the summary statistics.
(1/2 point each)
4.2
3.4
Note that x = 82.3 and
Column
n
7.4
8.0
(x x)2
Mean
Va
Trying to come up with a
defending statement
Trying to analyze the causes of why
this person is treating this way
Distracted
She believes in
them
Under Attack
Facts / Perceptions
were not real
Listening Problem
Old history dredged up
Low Self
Confidence
F
Measure Information Form
Measure ID:
Measure Set:
Measure Name:
Numerator Statement:
Numerator Excluded Population:
Denominator Statement:
Denominator Excluded Population:
Rationale:
Numerator Data Elements:
Denominator Data Elements:
Type of Measure:
Dat
Number
Item
Yes
1
Health Card
2
National
Insurance card
3
National ID
Card
4
Name
5
Address
6
Telephone
number
7
Gender
8
Date of Birth
9
Next of Kin
10
Doctors name
No
Person
Responsible
Check Sheet For Registration Process
Date
Shift
Measure Information Form
Measure ID:15368
Measure Set:
Measure Name:
Wait Time
Appointments with long waiting time
Numerator Statement: Number of given appointments longer than 2 weeks during a specific
period of time
Numerator Excluded Population:
Appoin
Measure Information Form
Measure ID: 85697
Measure Set:
Measure Name:
Scheduling
Missed Appointment
Numerator Statement: Number of missed appointments during a specific period
Numerator Excluded Population:
The not missed appointments
Numerator Data Eleme
Figure 1: Shows the Control Chart for Errors
The figure above represents a control chart for an error; where the x-axis represents the date and
the y-axis represents the error readings. The dotted lines in the figure show the upper limit and
lower limit,
Statements
1. A surgeon uses abusive
language in the
operating room.
2. Out of fear of losing
several high revenue
producing doctors, the
hospital administrator
asks the patient safety
representative to
temper his demands.
3. A family physician
yells at a
Emergency Department
Order
A
B
C
D
E
F
G
H
I
J
K
L
Policy No:
RML / ED/ 01
Date of Issue:
15/ 01 / 2008
Particulars
Purpose
Scope
Skills and Qualification
Responsibility
Departmental Hierarchy
Objectives
Performance Measures / Time Measures
Performance Me
Week 1, Day 1
1. Review of basic math concepts
2. Quiz #1
Vocabulary for today
1. Percentage
2. Proportion
3. Fraction
4. Ratio
5. Mean
6. Data plot
7. Histogram
8. Linear regression
9. Correlation
Percentage
A number or ratio expressed as a fraction of