NAME: Carolina LAST NAME: Castellote Baello.
CHAPTER 5
EXERCISE 1. (Value 0.5 points)
The following table includes the quarterly sales of a company in millions of euros. Build a line
scatterplot and explain what components can be clearly distinguished in

CHAPT E R
CHAPTER OUTLINE
9
Hypothesis Testing:
Single Population
9.1 Concepts of Hypothesis Testing
9.2 Tests of the Mean of a Normal Distribution:
Population Variance Known
p-Value
Two-Sided Alternative Hypothesis
9.3 Tests of the Mean of a Normal Distr

EXERCISES
Basic Exercises
5.9
The total cost for a production process is equal to
$1,000 plus two times the number of units produced.
The mean and variance for the number of units produced are 500 and 900, respectively. Find the mean
and variance of the t

CHAPT E R
CHAPTER OUTLINE
6
Sampling and
Sampling Distributions
6.1 Sampling from a Population
Development of a Sampling Distribution
6.2 Sampling Distributions of Sample Means
Central Limit Theorem
Monte Carlo Simulations: Central Limit Theorem
Acceptanc

7.2 C ONFIDENCE I NTERVAL E STIMATION FOR THE M EAN OF
A N ORMAL D ISTRIBUTION : P OPULATION V ARIANCE K NOWN
We first assume that a random sample is taken from a population that is normally distributed with an unknown mean and a known variance. The chief

CHAPT E R
CHAPTER OUTLINE
14
Analysis of
Categorical Data
14.1 Goodness-of-Fit Tests: Specified Probabilities
14.2 Goodness-of-Fit Tests: Population Parameters Unknown
A Test for the Poisson Distribution
A Test for the Normal Distribution
14.3 Contingency

Application Exercises
4.67 A company receives a shipment of 16 items. A random sample of 4 items is selected, and the shipment is rejected if any of these items proves to be
defective.
a. What is the probability of accepting a shipment
containing 4 defect

6.39 In the previous exercise, suppose that it is decided that
a sample of 100 voters is too small to provide a sufficiently reliable estimate of the population proportion.
It is required instead that the probability that the sample proportion differs fro

1N - n2
is called the finite population
1N - 12
correction factor.
The quantity
a. To get some feeling for possible magnitudes of the
finite population correction factor, calculate it for
samples of n = 20 observations from populations
of members: 20, 40,

CHAPT E R
CHAPTER OUTLINE
15
Analysis of Variance
15.1 Comparison of Several Population Means
15.2 One-Way Analysis of Variance
Multiple Comparisons Between Subgroup Means
Population Model for One-Way Analysis of Variance
15.3 The Kruskal-Wallis Test
15.4

CHAPT E R
CHAPTER OUTLINE
7
Estimation: Single
Population
7.1 Properties of Point Estimators
Unbiased
Most Efficient
7.2 Confidence Interval Estimation for the Mean of a Normal
Distribution: Population Variance Known
Intervals Based on the Normal Distribu

Carolina Castellote Baello
CHAPTER 4. PROPOSED EXERCISES FOR CONTINUOUS EVALUATION
EXERCISE 1.
Given these data on student population and quarterly sales for a sample of 10 pizza
restaurants:
Students populations (in thousands)
2
6
8
8
12
16
20
20
22
26
1

7.64 A class has 420 students. The final examination is
optionaltaking it can raise, but cannot lower, a
students grade. Of a random sample of 80 students, 31
indicated that they would take the final examination.
Find a 90% confidence interval for the tot

Exercise 1.c.
Accounts
Change in inventory of finished goods (Final inventory > Initial inventory)
Discount for volume of purchase of raw materials
Excess of provision for trade operations
Excess of provision for other responsabilities
Expense for the pro

CHAPT E R
CHAPTER OUTLINE
9
Hypothesis Testing:
Single Population
9.1 Concepts of Hypothesis Testing
9.2 Tests of the Mean of a Normal Distribution:
Population Variance Known
p-Value
Two-Sided Alternative Hypothesis
9.3 Tests of the Mean of a Normal Distr

Unit 1. Exercise 2.
Analyse the following temporary differences, indicating the changes in deferred tax
assets and liabilities in each of the year (tax rate = 30%):
a) In year 2008 the company recorded an impairment of accounts receivables of 1,000
, whic

Accounts
Change in inventory of finished goods (Final inventory > Initial inventory)
Change in inventory of raw materials (Final inventory < Initial inventory)
Discount for volume of purchase of raw materials
Exceptional revenue
Excess of provision for re

Exam n1 - Part I
Duration 2h30
Statistic Inference: Introduction
27/10/2015
Name:
Surname:
Answer Sheet
Problem 1 Internships
Question 1)
0.4
If five students apply, what is the probability that more than two of
them are accepted?
Probability =16,308%
Que

Carolina Castellote Baello
CHAPTER 6
EXERCISE 1. Value 0.5
The revenue in 2013 for a few selected companies is:
Company
A
B
C
D
E
Revenue
35058
35130
9543
6658
10258
Index
(35058/10258)x100 =341,76
(35130/10258)x100=342,46
(9543/10258)x100=93,029
(6658/10

Unit 1. Corporate Tax.
Unit 1. Concept and Characteristics.
1.1. Objetives of Corporate Tax.
1.2. Corporate Tax and other taxes over the income in Spanish Tax
System.
CORPORATE TAX
(Fiscalidad de la Empresa)
Unit 1
1.3. The obtaining of Income and the ap

Income Before Taxes
Period
Provision for environmental actions
Machinery Amortisation
Non deductible expense
Total Non Accounting Adjustments
Tax Basis
Tax Rate
Gross Tax Liability
930,000.00
2008
50,000.00
2,000.00
4,000.00
56,000.00
2,000.00
2,000.00
2,

Ahora desarrollamos la distribucin de probabilidad binomial, que se utiliza
ampliamente en muchos los problemas econmicos y de negocios aplicada. Nuestro
enfoque comienza con el modelo de Bernoulli, que es un bloque de construccin para
el binomio. Conside

Unit 1. Exercise 1-b
Company X, Inc. shows the following list of accounts in its adjusted trial balance at the
end of year 200X:
Accounts
Change in inventory of finished goods (Final inventory > Initial inventory)
Change in inventory of raw materials (Fin

Tax Base Non Accounting Adjustments
Period
2008
2009
2010
Impairment of Accounts receivable
Machinery Amortisation
Computer Amortisation
Provision for responsabilities
Total Non Accounting Adjustments
0.00
0.00
0.00
Asset
Impairment of Accounts receivable

Unit 1. Exercise 3
Company AEAT, Ltd provides the following information for the calculation of the income
tax expense:
Income before taxes = 930,000
During the year the company has register a provision for environmental actions of
50,000 that will be c

Chapter
2
Two-Variable
Regression Analysis:
Some Basic Ideas
In Chapter 1 we discussed the concept of regression in broad terms. In this chapter we
approach the subject somewhat formally. Specically, this and the following three chapters
introduce the rea

Chapter
7
Multiple Regression
Analysis: The Problem
of Estimation
The two-variable model studied extensively in the previous chapters is often inadequate in
practice. In our consumptionincome example (Example 3.1), for instance, it was assumed
implicitly

Chapter
6
Extensions of the
Two-Variable Linear
Regression Model
Some aspects of linear regression analysis can be easily introduced within the framework
of the two-variable linear regression model that we have been discussing so far. First we
consider th

International Business Management
Academic Year 2016-2017
Case Uniqlo
THE FUTURE OF RETAIL CLOTHING: WILL UNIQLO TURN THE WORLD
JAPANESE?
On a hot rainy day in Paris, France, in early
august 2012, Emilie Marchal was wriggling on
her chair, impat

Captulo 2
The classical linear regression
model
2.1
The simple linear regression model
Regression analysis concerns with the estimation and/or prediction of the population mean value of the dependent variable, on the basis of known or fixed values
of the

Chapter 2. The Classical
Linear Regression Model
(CLRM)
Chapter 2.1 The simple linear regression model
(model specification, estimation by Ordinary Least
Squares [OLS])
JULIEN MAHEUT
JUM A1@ E D E M . E S
1
Introduction
Specifically, In this chapter (Chap

Chapter 2. The Classical Linear
Regression Model (CLRM)
Chapter 2.3 Coefficients interpretation
JULIEN MAHEUT
JU MA 1@EDEM.ES
1
Interpretation of Bivariate Regression Equation
2
And about the intercept? How to interpret it?
3
Coefficients interpretation
4

Chapter 1. Introduction: econometrics
and econometric models
Julien Maheut
juma1@edem.es
1
1. Econometrics: concept and evolution
Literal meaning of econometrics: Measurement in economics
Econometrics is the field of economics that concerns itself with t

Chapter 2. The Classical Linear
Regression Model (CLRM)
Chapter 2.4 Unit of Measurements and Functional Forms
JULIEN MAHEUT
JU MA 1@EDEM.ES
1
Scaling and Units of Measurement
2
Suppose in the regression of GPDI on GDP one researcher uses data in
billions