Targets Canadian
Expansion Failure
Yun Jeung Kim, Yiyi Zhang, Bridget
Kwon, Devin Hicks
Group 21
Target
Target is the second largest retailer in the United States, with 1,792
locations across the country
Has a workforce of over 345,000 employees worldwide
Effect of
Hurricane in
New York
RMIN 4000
Jonathan Book, Ruitao
Fu, Josie Anderson,
Liwei Luo
Hurricane Sandy in New York
1.New York was severely affected by Hurricane Sandy in 2012,
particularly New York City, its suburbs, and Long Island.
2. Sandy's imp
Takata Airbag
Recall: Honda
Civic
McKenzie Thorman, Aubrey Moller,
Edward Vonjoe, Shawn Mathew
RMIN 4000- Anna Song
Article
Airbag Recall Widens to 34 Million Cars as
Takata Admits Defects
By Danielle Ivory and Hiroko Tabuchi
Published by New York Times
Cheerios Gluten Free
Recall
By: Elyse Dierkes, Kelly McKibbin, Priya Patel, Tran Huynh
(Group 24)
Article: General Mills recalls some of its
Cheerios products
- In October of 2015, General Mills recalled 1.8 M boxes of its Cheerios and Honey
Nut Cheerios.
Takata Airbag
Recall: Honda
McKenzie Thorman, Aubrey Moller,
Edward Vonjoe, Shawn Mathew
RMIN 4000- Anna Song
Article
Airbag Recall Widens to 34 Million Cars as
Takata Admits Defects
By Danielle Ivory and Hiroko Tabuchi
Published by New York Times
Date: M
MSIT 11/3
Well look at two of these:
- Goodness-of-Fit Tests
- Tests for Independence
Section 13.1: Goodness-of-Fit Tests
Given the following
(1) Counts of items in each of several categories
(2) A model that predicts the distribution of the relative freq
Chapter 3
Increased sample size will decrease sampling but not decrease bias
o Population does not matter
o 1,000 people gives same sampling error regardless of population size
Sample that includes entire population = a census (non-response bias, less
acc
Definitions:
o Respondents- individuals who answer a survey
o Subjects/Participants- people in an experiment
o Experimental Units- animals, plants, websites, etc.
o Variables- characteristics recorded about each individual case (identify what
has been me
MSIT 3000
Chapter 15: Multiple Regression
In simple regression, the predicted value
depends on only one explanatory variable:
y b0 b1 x
For multiple regression, we write the
regression model with more explanatory
variables:
y b0 b1 x1 b2 x2 K bk xk
Statis
STAT 3000
Chapter 13: Inference for Counts: Chi-Square Tests
So far, weve done inference mostly
with quantitative variables. (The
exception was confidence intervals
and hypothesis tests for oneproportion.) Does this mean there are
no more inferential proc
MSIT 3000
Chapter 10 Testing Hypotheses about Proportions
A study was done to see if bank executives
were more inclined to promote males than
females. Forty-eight randomly chosen bank
executives were given a resume of a
fictitious candidate and asked if t
MSIT 3000
8.1 Expected Value of a Random Variable
A variable whose value is based on the outcome of a random
event is called a random variable.
The mean of a probability distribution is denoted by the
parameter, , but usually called the Expected Value and
MSIT 3000
Chapter 7: Randomness and Probability
Probability allows us to make the jump from
simply describing a sample to drawing
conclusions, or inferences, about the
population.
The purpose of this chapter is to see what
the laws of probability tell u
Chapter 6: Correlation and Linear Regression
How can we determine if 2 quantitative
variables are related to each other? If
there is a linear association, how can that
information help understand and describe
the data?
Suppose we want to predict the asses
MSIT 3000
Chapter 5 Displaying and Describing Quantitative Data
The Distribution of a Quantitative
Variable
To describe a variable, include all of
the following:
Shape
Center
Variability (variation or spread)
MSIT 3000
Section 5.1 Displaying Distributi
MSIT 3000
Section 3.3 Populations and Parameters 8/20/15
Population the entire collection of individuals or instances about which
information is sought.
Sample a subset of a population, examined in hope of learning about the
population.
o Sample will neve
8/20/15
MSIT 3000
Section 2.1 What Are Data? (Channel 3 clicker)
Data:
o Data values or observations are information collected regarding some
subject.
o Data can be numbers, names, etc., and tells us the Who and What.
o Data are useless without their cont
Chapter 4 Displaying and Describing Categorical Data
The first step when youve collected a sample, as one of my former professors used to say, was
plot the data, plot the data, plot the data.
A plot of the data can
- reveal things that just looking at the
Chapter 3: Surveys and Sampling
In Chapter 1, we talked about the difference between descriptive and inferential statistics. We
use inferential statistics to generalize from a sample to a population. Its a good idea, then, to
better define those ideas.
De
MSIT 3000
Business Statistics:
A First Course
Chapter 8
Random Variables and Probability
Models
1
8.1 Expected Value
A random variable has outcomes that vary randomly; individual
outcomes cannot be predicted. For instance, a random variable
could be the a
MSIT 3000
Business Statistics:
A First Course
Chapter 2
Data
1
Data Tables
Data are useless without their context. Tables provide
context so that we know what the values mean.
Data tables are usually organized with the cases in the
rows, and the variables
MSIT 3000
Business Statistics:
A First Course
Chapter 5
Analyzing Quantitative Data
1
5.1 Histogram
Remember to always plot the data first and take a good look!
A common graph to display quantitative data is a histogram.
Below is a histogram of the 931 fi
MSIT 3000
Business Statistics:
A First Course
Chapter 3
Surveys and Sampling
1
3.1 Three Ideas of Sampling
1) A sample examines a small part of the population
A sample is designed to obtain information about a subset of
the population in order to learn so
MSIT 3000
Business Statistics:
A First Course
Chapter 4
Analyzing Categorical Data
1
Before Anything Else
Make a picture and look at the data!
Graphs:
Show aspects that are hard to see in a table
Easily reveal important features and patterns
Make it ea
MSIT 3000
Business Statistics:
A First Course
Chapter 7
Randomness and Probability
1
7.1 Randomness and Probability
With random phenomena, we cant predict what will
happen for a single event, but probability gives a measure
of how many times it will occur
Business
Statistics:
A First Course
Chapter 3
Surveys and Sampling
1
3.1 Three Ideas of Sampling
1) A sample examines a small part of the population
A sample is designed to obtain information about a subset of
the population in order to learn something ab
Review
Questions
Test 2: MSIT 3000
1. Jans restaurant has determined
that the distribution of their expenses
per customer has a mean of $8.20 and
a standard deviation of $3.00. Find
A. 0.9929
the0.0062
probability that a simple random
B.
sample of 100 cus
Formula sheet for MSIT 3000 Test 2
pq
n
SE p
pq
p z
n
To Find Condence interval
*
*
z
ME
n
z
SE y
y t
2
p p
pq
n
90%
94%
95%
96%
98%
99%
n
*
s
n
*
pq
n
t
z
ME
y
s
1.645
1.881
1.96
2.054
2.326
2.576
n
2