The National Retail Federation reported that college freshman spend more on back-toschool items than any other college group (USA Today, August 4, 2006). Sample data
comparing the back-to-school expenditures for freshmen and seniors are shown.
Freshman Se
The National Retail Federation reported that college freshman spend more on back-to-school items
than any other college group (USA Today, August 4, 2006). Sample data comparing the back-toschool expenditures for freshmen and seniors are shown.
Freshman
14
CHAPTER 3
ART AND SCIENCE OF GRAPHICAL PRESENTATIONS
SECTIONS 1 - 3
MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions, please circle the correct answer. 1. The effect of making the slope of a line graph appear steeper can be created by:
Excel Lesson 2
Overview
Watch the Excel Lesson 2 Video
Using the L2_Titan_OffCampus Excel file, complete the worksheet using the instructions below saving
it as firstName_lastName_L2_Titan_OffCampus.
Complete the Lesson 2 Quiz using the completed workshee
Chapter 17
17.1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
A
SUMMARY OUTPUT
B
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
C
D
E
F
0.4924
0.2425
0.2019
40.24
60
ANOVA
df
Regression
Residual
Total
Intercep
CHAPTER 6
PROBABILITY
SECTIONS 1
MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions, please circle the correct answer. 1. An approach of assigning probabilities which assumes that all outcomes of the experiment are equally likely is refe
CHAPTER 2
GRAPHICAL AND TABULAR DESCRIPTIVE TECHNIQUES
SECTIONS 1
MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions, please circle the correct answer. 1. Which of the following statements is false? a. All calculations are permitted on i
CHAPTER 8: SECTIONS 1 AND 4
INTERVAL ESTIMATION
Learning Goals
Interval Estimation of when is known
(Section 8.1)
Interval Estimation of p
(Section 8.4)
Interval Estimation of when is known
Example #1: Average Travel Time
An airline executive is intereste
WHY SAMPLING DISTRIBUTIONS?
TO BE READ BEFORE CHAPTER 7
Learning Goals
Inferential Statistics
Population Versus Sample
Population Parameters ( and p)
Sample Statistic or Point Estimators ( and )
Sampling Distribution
Population Size; N and Sample Size; n
Trading Volume
(millions of shares)
214
202
174
163
198
171
265
212
211
194
201
211
180
Trading volume on the New York Stock Exchange is heaviest during the first half hour (early morning) and last half
of the trading day. The early morning trading volume
STUDY G UIDE
EXAM 1
SPRING2016
About Exam 1
Grade: Exam 1 constitutes 20% of your final grade.
Grade Availability: Exam 1 scores will be available on
March 4th Friday (at 7.15 PM)
Duration of exam: you have 65 minutes to
CHAPTER 8: SECTIONS 3 AND
PART OF 4
INTERVAL ESTIMATION
Learning Goals
Sample Size (n) determination in
Interval Estimation of when is known
(Section 8.3)
Sample Size (n) determination in
Interval Estimation of p
(Section 8.4)
Revisit: ME versus sample si
INTERVAL ESTIMATION
TO BE READ BEFORE CHAPTER 8
Learning Goals
Population, Parameter
Sample, Point Estimator
Sampling Distribution
Margin of Error (ME)
Level of Confidence
Interval Estimate
Parameter
We have a single population target of interest.
From th
CHAPTER
7, SECTION 7.5
SAMPLING DISTRIBUTION OF
Learning Goals
X : random variable with mean and standard deviation
: random variable with mean and standard deviation
Sampling Distribution of
Central Limit Theorem (CLT)
Calculating Probabilities
Example
CHAPTER 6
NORMAL PROBABILITY
MODEL/DISTRIBUTION
Learning Goals
Normal Probability Distribution
Population Mean () and Population Standard Deviation ()
z-scores
Standard Normal Probability Distribution
Calculating Probabilities
Inverse Problems
Refresher:
CHAPTER 8: SECTION 2
INTERVAL ESTIMATION
Learning Goals
Interval Estimation of when is unknown
(Section 8.2)
Inference based on small sample
t distribution
Degrees of freedom
Example #1: Average credit card balance
An executive in a large bank is looking
3) Variability
Why is variability an
important aspect of data?
Suppose you are a purchasing agent for a large manufacturing firm and
that you regularly place orders with two different suppliers.
After several months of operation, you find that the mean nu
Is there a way to summarize shape,
location and spread all at the same time?
Luckily, we have a simple pictorial representation called BOX
PLOT that can nicely summarize the main data features in
one go.
Using EXCEL Data Analysis Plus (an add-in), one can
Integrating shape, location and
variability
By integrating the three main features, we can learn not only about the
general global characteristics of the given data, we may also be able to
learn about particular observations within the data.
To that end,
A GENTLE INTRODUCTION TO
RANDOM VARIABLES
TO BE READ BEFORE CHAPTER 6
Learning Goals
Inferential statistics
Probability
Random Variable
Probability Distribution
Continuous and Discrete Random Variables
In Chapter 1
In Chapter 1, we stated that, broadly sp
WHY SAMPLING DISTRIBUTIONS?
TO BE READ BEFORE CHAPTER 7
Learning Goals
Inferential Statistics
Population Versus Sample
Population Parameters ( and p)
Sample Statistic or Point Estimators ( and )
Sampling Distribution
Population Size; N and Sample Size; n
CHAPTER
7, SECTION 7.6
SAMPLING DISTRIBUTION OF
Learning Goals
: random variable with mean and standard deviation
Sampling Distribution of
Normal distribution as the sampling distribution of
Calculating Probabilities
Revisited: Example 1:
Frequent flyer
Trading Volume
(millions of shares)
214
202
174
163
198
171
265
212
211
194
201
211
180
Trading volume on the New York Stock Exchange is heaviest during the first half hour (early morning) and last half
of the trading day. The early morning trading volume
Trade Restrictions: Tariffs, Ch. 5
In this chapter, well be covering sections 5.1-5.6 and 5.8.
HW: Q8 and the following question:
1.
2.
3.
4.
Q)Use the figure to find the following:
Welfare cost of the tariff to consumers.
Welfare benefit of the tariff to
Case Study
Pizza Inc.
ACC 413 - Dr. Cannon
October 17, 2013
Evan Lian, Eric Petee, Joanna Rowe, Yamato Tomaru
A.
On-the-job training is a key process because it determines the efficiency and
effectiveness of their services. Pizza delivery is another key p
The Heckscher-Ohlin and
Other Trade Theories, Ch. 4
(Part I)
In Part I of the chapter, well be covering sections
4.1 4.5.
HW: Qs 1 and 4.
1
Theories of international
trade
The previous chapter provided a
framework within which international
trade occurs.
The Standard Trade Model, Ch.
3
Well be covering sections 3.1 3.8 in this chapter.
HW : Qs 1 and 5.
1
Increasing opportunity
costs
Increasing amounts of another item
must be given up in order to release
sufficient resources to produce one
more unit of a
Comparative Advantage, Ch. 2
In this chapter well be covering sections 2.1-
2.5 and 2.7-2.10.
HW questions: Qs 3, 9 and 10.
1
The basic questions of
international trade
What is the basis of trade?
Absolute Advantage
Comparative Advantage
2
The basic que
Titan Off Campus
Profit and Loss Projec
January 1, 2017 to December
Today's Date:
Income
Sales
Interest
Total Income
4/4/2017
January
February
March
April
May
$ 28,444.00 $ 32,099.00 $ 36,198.00 $ 35,001.00 $ 45,690.00
795.00
892.00
991.00
801.00
888.00
$
Titan Off-Campus Shops
Employee Details
Employee ID Last Name
18201001 Murphy
18201002 Jones
18201003 Ta
18202001 Nguyen
18202002 Park
18310001 Tanaka
18310002 Ohayan
18311001 Aki
18311002 Aames
18501001 Cuomo
18503001 Sharif
19205001 Nemoto
21505002 Chan
ISDS 361A: Business Analytics I - 08-12377
Course Syllabus, Spring 2017
Instructor: Dr. T. Drezner ; Office: SGMH-4159
Mihaylo College of Business and Economics
Department of Information Systems & Decision Sciences
Lecture:
Office hours:
Email:
Office pho