Chapter 4
Describing Data:
Displaying and Exploring Data
Instructor: Sangjoon Lee
Korea University, Business School
Goals
Construct and interpret a dot plot
Indentify and compute measures of position
Construct and analyze a box plot
Compute and descri
Chapter 5
A Survey of Probability Concepts
Instructor: Sangjoon Lee
Korea University, Business School
Goals
Explain the terms experiment, event, and outcome.
Identify and apply the appropriate approach to assigning probabilities.
Calculate probabilitie
Chapter 1
What is Statistics?
Instructor: Sangjoon Lee
Korea University, Business School
Goals
List ways that statistics is used.
Know the differences between
descriptive statistics and inferential statistics.
Understand differences between a sample an
Chapter 10
Comparing Two Groups
Section 10.1
Categorical Response: Comparing Two
Proportions
Introduction to Statistics, Spring 2016, Korea University
Bivariate Analyses: A Response Variable
and a Binary Explanatory Variable
Methods for comparing two grou
Chapter 11
Analyzing the Association
Between Categorical
Variables
Section 11.1
Independence and Dependence (Association)
Introduction to Statistics, 2016 Spring, Korea University
Example: Happiness
Table 11.2 Conditional Percentages for Happiness Categor
Chapter 5
Probability in Our Daily Lives
Section 5.1
How Probability Quantifies Randomness
Introduction to Statistics, 2016 Spring, Korea University
Random Phenomena
For random phenomena, the outcome is uncertain.
In the short-run, the proportion of time
3/9/16
Chapter 2
Exploring Data with Graphs
and Numerical Summaries
Section 2.1
Different Types of Data
Introduction to Statistics, 2016 Spring, Korea University
Variable
A variable is any characteristic observed in a study.
Examples: Marital status, Heig
Chapter 3
Association: Contingency,
Correlation, and Regression
Section 3.1
The Association Between Two Categorical
Variables
Introduction to Statistics, 2016 Spring, Korea University
Response and Explanatory Variables
Response variable (Dependent Variabl
3/6/16
Chapter 1
Statistics: The Art and
Science of Learning from
Data
Section 1.1
Using Data to Answer Statistical Questions
Introduction to Statistics, 2016 Spring, Korea University
Data and Examples of Collecting Data
The information we gather with exp
THE MINTO PYRAMID
PRINCIPLE
1.
2.
3.
4.
LOGIC IN WRITING
LOGIC IN THINKING
LOGIC IN PROBLEM SOLVING
LOGIC IN PRESENTATION
-SHACHI H PARIKH
OBJECTIVE
The main objective for having logic in writing, thinking, problem
solving and presentation is to enhance
Session 1
Accounting in Action
Learning Objectives
After studying this chapter, you should be able to:
1-1
1.
Explain what accounting is.
2.
Identify the users and uses of accounting.
3.
Understand why ethics is a fundamental business concept.
4.
Explain
Chapter 2
Supplement
Construct a frequency table and relative frequency table for qualitative data or
quantitative data.
Draw the Various Charts using MS Excel 2007.
Bar chart and a Pie chart
histograms, frequency polygons, and cumulative frequency polygo
Data, Models and Decisions, Demo Test (IMBA 2016, FDMS)
Problem 1 (20 points) Optimal Marketing Strategy
The marketing manager of Oxenol company has to decide whether or not to market a
new product and at what price to sell it. Suppose that Oxenol must de
Statistics for Health Care
Unit 3:
Overview/Teasers
Overview
Introduction to probability and
conditional probability; Bayes Rule;
diagnostic testing
Teaser 1, Unit 3
A classic statistics problem: The Monty Hall
Problem
Teaser 1, Unit 3
You are on the Mont
Statistics in Healthcare
Unit 8:
Overview/Teasers
Overview
Regression I: Linear regression
Common statistics for various
types of outcome data
Outcome
Variable
Are the observations independent or
correlated?
Alternatives
(assumptions
violated)
independent
Statistics for Health Care
Unit 1
Overview/Teasers
First rules of statistics
n
n
Use common sense!
Draw lots of pictures!
Whats wrong with this?
Study with sample size of 10 (N=10)
Results: Objective scoring by blinded
investigators indicated that the tre
Statistics for Health Care
Unit 2:
Overview
Overview
Basic study designs; measures of
disease frequency and association
Teaser 1, Unit 2
2000 NEJM study on rofecoxib vs.
naproxen, Randomized Trial
Teaser 2, Unit 2
Results: Myocardial infarctions were less
Homework 7 (Unit 7)
Question 1:
The following table comes from a twin study. Researchers compared previous chemical exposures between twins
who were discordant for Parkinsons disease (one twin had Parkinsons disease but the other did not). (Reproduced
wit
UNIT 8 HOMEWORK
Question 1:
The following scatter plot shows the relationship between year of release and alcohol exposure time (in seconds) for
G-rated animated feature films released in the U.S. between 1937 and 2000. The authors fit a linear regression
UNIT 4 HOMEWORK
For some problems, you will need a normal probability calculator or chart. Here are some links:
Graphical standard normal calculator/chart:
http:/www.mathsisfun.com/data/standard-normal-distribution-table.html
Simple standard normal calcul
UNIT 5 HOMEWORK
Question 1:
I am calculating the mean, median, standard deviation, and standard error of the mean for several variables (age,
height, weight, income, blood pressure, etc.) from a sample of 246 patients. If I receive data for an additional
UNIT 6 HOMEWORK
Read the following abstract before answering the questions that follow:
Background: Recent research demonstrated that vitamin D, apart from calcium-related actions, has
antiproliferative, prodifferentiative and immunomodulatory activities.
Unit 1 Homework - Question Set 1
A doctor examines a group of healthy adults (presenting to clinic for their annual physical exams) and records their
respiratory rates, shown in the following table.
Outcome
(RR in breaths Frequency
per minute)
11
10
12
9
Elementary Statistics, ISC118
Instructor:
Office:
Office Telephone
Email:
Web Address:
Book:
Office Hours:
Dr. Mehlman
305 Woodang Hall
[email protected]
math.newhaven.edu/mhm
Introduction to the Practice of Statistics , Eighth Edition
by David S. Moo