1. The following SAS program is submitted:
data test;
set sasuser.employees;
if 2 le years_service le 10 then
amount = 1000;
else if years_service gt 10 then
amount = 2000;
else
amount = 0;
amount_per_year = years_service / amount;
run;
Which one of the f
Professional Development and User Support
Paper 245-25
The Ultimate Match Merge: Hiring the Best SAS Programmers
Neil Howard, Parke-Davis/Warner-Lambert, Ann Arbor, MI
"The best thing you can do for your competition is to
select poor quality staff."
VP Re
Math 214
Applied Statistics
Laboratory Project #3
Due: Wednesday February 27
sh is
ar stu
ed d
vi y re
aC s
o
ou urc
rs e
eH w
er as
o.
co
m
Part I: Using R to SIMULATE Experiments
Although Einstein said that God does not play dice, R can play dice (and c
The Shortest Route Problem
Shipping routes from Los Angeles
The Shortest Route Problem
Network of shipping routes
The Shortest Route Problem
Determine the initial shortest route from the origin (node
1) to the closest node directly connected (i.e., adjac
library(deSolve)
sir <- function(time, state, parameters) cfw_ #parameters are beta and gamma
with(as.list(c(state, parameters), cfw_
dS <- -beta * S * I
dI <- beta * S * I - gamma * I
dR <- gamma * I
return(list(c(dS, dI, dR)
)
init <- c(S = 50
#
#
#
#
#
#
#
#
#
#
#
#
#
#
Options.R
Copyright (C) 2009-11 by RStudio, Inc.
Unless you have received this program directly from RStudio pursuant
to the terms of a commercial license agreement with RStudio, then
this program is licensed to you under the t
ST4590 Winter 2017 Assignment No.3
Questions:
1. Quality control specialists depend on knowledge of probability of defective items in
batches of product. For example a certain type of flashlight is sold with the four batteries
included. They are intereste
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Tests of Goodness ofAmity
FitBusiness
and School, Noida
Independence
Goodness of Fit Test: A Multinomial
P
# Figure 4.6
# Read in the data
library("arm")
brdata <- read.dta("nes5200_processed_voters_realideo.dta",convert.factors=F)
# Data are at http:/www.stat.columbia.edu/~gelman/arm/examples/nes
# Clean the data
brdata <brdata[is.na(brdata$black)=FALSE&is.na
SAS Certification Questions
1) data x;
a=today();
put a weekdate.;
run;
How the date is displayed? Assume that today is 04JUN07.
a)Monday,2007 b) Monday, June 4, 2007 c) June 4 , 2007
d)Monday, June 4
2) data samp;
Date=today();
Weekday=weekday(date);
Qua
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Amity Business School, Noida
Hypothesis Testing
Developing Null and Alternative Hypotheses
Type I and Type
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Chapter 17
Index Numbers
Price Relatives
Aggregate Price Indexes
Computing an Aggregate Price
Index
fromImp
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
+91-9811277721 / +971-552154941
[email protected][email protected]
1
Multiple Regression
Amity Business School, Noida
Multiple Reg
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Amity Business School, Noida
Sampling and Sampling
Distributions, Part I
Simple Random Sampling
Point Est
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
India: + 91-9811277721
Dubai: + 971-552154941
[email protected]
1
Amity Business School, Noida
Tests of Goodness of Fit and Independence
Amity Business School
Lecture 3 : Diagrammatic & Graphical
Presentation of Data
Department of Decision Sciences
Amity Business School
Objective of the Lecture
To introduce diagrammatic and graphical statistical methods that
allows managers to summarize da
Amity Business School
MBA Class of 2013
Bridge Course
Department of Decision Sciences
L#2
Counting Rules and Set Theory
Amity Business School
Introduction
Experiments, Counting
Rules,
Events and Their
Probability
Some Basic
Relationships
of Probability
Am
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Amity Business School, Noida
QTM: Quantitative Techniques In Management:
COURSE OBJECTIVES
COURSE PLAN
DEMA
Amity Business School
Welcome
MBA(M&S): Class of 2014
Bridge Course
Basic Concepts of Statistical Studies
Department of Decision Sciences and Operations Management
Jitendra Kumar
+91-9811277721
Amity Business School
Amity Business School
Semester I
QUANTI
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Amity Business School, Noida
Experimental Design and Analysis of
Variance : Part II
Randomized Block
Design
Amity Business School, Noida
Amity Business School
Semester I
Quantitative Technique in Management
Mr. Jitendra Kumar
9811277721
[email protected]
1
Forecasting
Amity Business School, Noida
Quantitative Approaches to
Forecasting
Components of a Time Series
BBA General
Introduction
to
Business Statistics
Course Overview
Module 1:
Introduction to Statistics
Module 2:
Data Collection and Analysis
Module 3:
Correlation and Regression Analysis
Module 4:
Time Series Analysis
Module 5:
Probability
Module 6:
Maximum Flow Problem
From
S
S
S
A
A
B
B
C
C
C
D
E
To
A
B
C
C
D
C
E
D
E
T
T
T
Maximum Flow
Flow
4
2
6
2
2
0
2
1
3
4
3
5
12
Capacity
4
2
8
5
2
6
9
1
3
4
7
5
Nodes
S
A
B
C
D
E
T
4
Net Flow
12
0
0
0
0
0
-12
5
B
0
0
0
0
0
D
1
C
6
2
=
=
=
=
=
2
A
8
S
Supply/Dem