Chapter 16
Confidence Intervals
and
Tests
for and p
McGraw-Hill Education 2009
Introduction
Statistics and business decisions
Is the expected yearly return of your investment is larger than
the interest rate offered in a bank account (i.e., > 1.8%)?
I
Intro
Statistics and business decisions
Chapter 16
Interval estimation and hypothesis testing is
considered for the parameter (expectation, mean). In
this chapter we deal with the general situation that
and is unknown.
Confidence Intervals
and
Tests
fo
Chapter 17
Statistical
Inference
about 2
McGraw-Hill Education 2009
Motivation
Not only the population mean is of interest, but also
the accompanying population variance 2.
Investments: both the expected return and the
accompanying risk = variability of
Chapter 19
Simple
Linear Regression
McGraw-Hill Education 2009
Motivation
Many studies in Business and Economics essentially study the variation
of some research variable Y and factors X that may cause its variation.
Example: Y = hourly wage; factors X th
Chapter 22
Multiple
Linear Regression:
Model Violations
McGraw-Hill Education 2009
Motivation
In the market-model example, it was graphically illustrated that the
linear regression of Y = daily stock price of Heineken on X =
daily price of AEX seriously
Chapter 18
Confidence Intervals
and
Tests to Compare
Two Parameters
McGraw-Hill Education 2009
Motivation
Hospitals: treatment of patients by physicians
To find out whether patients are being treated equally, 71 primary
care physicians affiliated with h
Chapter 20
Multiple
Linear Regression:
Introduction
McGraw-Hill Education 2009
Recall Motivation of Chapter 19
Example: Y = hourly wage of a person; factors of its variation:
qualities of the person
(variables age, experience, education level, gender, )
q
Chapter 24
Chi-square
Tests
McGraw-Hill Education 2009
Motivation
Checking distributional assumptions: e.g., normality, independence.
Do young people in different EU-countries have different views on
ethical questions? For instance about the question: R
Chapter 21
Multiple
Linear Regression:
Extension
McGraw-Hill Education 2009
Intro
The relationship between Y and X does not have to be linear. It can be
described by a quadratic function in x or a third order function in x
Sales as a function of adverti
There are several ways to determine the val of part (f) of Section 4 of the TA; see, for instance,
Section A1.24 of Appendix A1. Here is one approach:
1. Create the (observations of the) variable BMI and use Sort Cases under Data to order
the cases by BMI
Section 4
You are asked to create a model that, in the opinion of you and your three colleagues, is the
best model to explain TOTEXP. Furthermore, you will be asked to check the assumption of
Section 1(d).
Take the results of Sections 1 3 into account and
Team Assignment (TA) for the courses:
Statistiek 2 (BE, E & I) and Statistics 2 (IBA)
September 2015
Important information:
1. This TA is meant for those students who did not do the TA before. Students who did
the TA (or the final exam) in previous academ
Midterm for the course Statistiek 1
21 March 2014; duration: 2 hours
Exercise 1
We are interested in the variable X = size of a household on the population of all 20 million
households in a certain country. A statistical agency provides us with the follow
Mid-Exam of Statistiek 1
15 March 2012; time: 3 hours
It is NOT allowed to use a graphical, programmable calculator; only a simple pocket
calculator is allowed. Always explain your answers.
This exam contains 6 exercises on 4 pages. You will need the foll