Locating New Pam and Susans Stores
Frank Nakoh
MGSC6200 13004 Information Analysis
Section 05
Professors Grigorios Livanis
Ike Papadopoulos
November 6, 2016
Report
Introduction
Pam and Susans is a chain of discount department stores. There are currently 2
Frank Nakoh Assignment 3
Chapter 5
6. a) No, this correlation is mostly likely caused by some other factors. Efficient management practices
could reduce length of hospital stay, but reduction in length of hospital stay could not reduce the age of
patients
Hypothesis Testing
Question 10
A manufacturer of cereal has a machine that, when working properly, puts 20
ounces of cereal on average into a box with a standard deviation of 1 ounce. Every
morning workers weigh 25 filled boxes. If the average weight is o
Week Four - Answers to Practice Exercises
Practice Exercises 1
2. (a) for employees of the same years of experience, each extra person he or she supervises is
associated with an extra $2000. And for employees who supervise the same number of people,
each
Frank Nakoh
Assignment 2
Chapter 9
4. a) Investing all your money in a few randomly chosen stocks that make up the index
b) Investing all your money in a few randomly chosen stocks that make up the index
22. a) Assuming population percentage as 50%
SE for
6. if the sample to test is selected to favor the results of the drug company, it would be categorized as a
confounding factor, but if instead the drug company is sponsoring a serious study where the sample is
selected randomly and divided in treatment an
20 b) Tickets to sell is 435
ME =10%
Sample percentage=90%
ME for %= 1.96SE% critical z =1.96
Let n be the sample size, solve for n
.1=1.96(.9.1)/n
N= 34.5735
Total number of tickets is 400+36= 435
28. b) Confidence interval of the population mean
Chapter
MGSC 2301
BUSINESS STATISTICS
MEETING TIMES AND LOCATIONS
Section 02:
8:00 am 9:40 am TF
Section 28:
9:50 am 1:23 pm TF
SPRING 2017
Hayden Hall 424
Hayden Hall 424
INSTRUCTOR INFORMATION
Name:
Dr. Svetlana Todorova
E-mail address: s.todorova@neu.edu
Offic
MGSC 2301: Business Statistics
LEARNING OBJECTIVES
Knowledge: Students have the opportunity to
Understand the basic concepts of probability,
descriptive and inferential statistics.
Recognize business applications where statistics can be
applied.
Become
Homework 1 Solutions
Heather Royer
1. Wages for workers in a particular industry average $11.90 per hour and the standard
deviation is $0.40. If the wages are assumed to be normally distributed:
First of all, lets review some of the facts relating to prob
Statistics 1 week 1 lecture
re: ds ch 1-3 page 80
Subject Matter: * overview of the course material and design
* introduction to statistical terminology: multiple definition of statistics, distinction between
descriptive and inferential statistics, relati
Statistics Grouped Data lecture
A summary table in which the data are arranged into conveniently established numerical ordered class
groupings or categories is referred to as a frequency distribution.
Example of a frequency distribution with 5 classes and
Outline Chapter 2: Describing data: frequency tables, frequency
distributions, and graphic presentation
The techniques used to describe a set of data are called descriptive statistics. To put it another way,
descriptive statistics organize data to show th
1. What is the distinction between descriptive statistics and inferential statistics?
Descriptive statistics deals with collecting, presenting, and describing the data to your audience.
Inferential statistics goes a step further and is concerned with usin
Re: Stats intro
List ways that statistics is used.
Know the differences between descriptive and inferential statistics.
Understand the differences between a sample and a population.
Explain the difference between qualitative and quantitative variables.
Co
Subject Matter:
Quartiles, Percentiles, Coefficient of Skewness.
Three (3) most common properties of data are location, dispersion or variation, and shape.
Three other measure of position are quartiles, deciles and percentiles. Quartiles divide a set of
o
Stem and Leaf display
Stem and leaf plots are a way officially describing the frequency of quantitative data without
losing the individual data like in a frequency distribution. Take the numbers (88, 89, 89, 90, 91,
92, 93, 94, 91, 101, and 102). The stem
Example 1 ungrouped data
NUMBERS
3, 5, 8, 9
To find the mean add the numbers and divide by the number of numbers in the data set.
3+5+8+9 = 25
25/4 = 6.25
6.25 is the mean value
To find the standard deviation:
numbers
3
5
8
9
n=4
mean
6.25
6.25
6.25
6.25
Regression
Variables Entered/Removeda
Variables
Variables
Model
Entered
Removed
Method
1
Ageb
. Enter
a. Dependent Variable: Money
b. All requested variables entered.
Model Summary
Adjusted R
Std. Error of
Model
R
R Square
Square
the Estimate
a
1
.356
.12
FEMALE
Gender
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
F
Age
23
7
56
43
36
32
84
12
12
74
40
73
82
32
50
19
15
52
49
44
80
22
14
81
26
15
52
29
MALE
Gender
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
M
Age
27
42
31
40
81
46
14
28
18
Business Statistics
INTRODUCTION
STATISTICS AND DATA
1
What is Statistics?
1. Statistics refers to the numerical facts or to numbers: the
income of families, the age of the students, the starting
salary of a typical college graduate, and others.
2. Statis
Business Statistics
ORGANIZING DATA
TABULAR AND GRAPHICAL
METHODS
1
RAW DATA
Table: Ages of 40 Students
29
24
28
34
29
25
32
43
26
19
27
30
29
29
20
34
21
29
29
31
35
19
25
29
30
30
19
34
22
30
30
24
29
29
31
29
33
29
25
20
Data that are recorded in the s
Business Statistics
NUMERICAL
DESCRIPTIVE
MEASURES
1
Measures of Central Tendency
for Ungrouped Data
This section discusses three different
measures of central tendency:
- the Mean;
- the Median;
- the Mode.
2
MEAN for Ungrouped Data
Table : Ages of 40 St