Managerial Statistics (1)
Iwona Nowakowska
STATISTICS
Statistical thinking will one day be as necessary for efficient
citizenship as the ability to read and write
H. G. Wells
H. G. Wells (1866 1946)
This English writer and social thinker was the author of

Managerial Statistics (12)
Iwona Nowakowska
Regression
For another problems, there may be one variable of particular interest. In this
case the other variable is used to predict how the first variable will behave
under the given condition.
Problems of thi

Managerial Statistics
tasks
Iwona Nowakowska
STATISTICS
Task 1:
Table below displays the number of days to maturity for 8 short-term
investments. Data are from Barrons National Business and Financial Weekly.
:
Determine the first quartile for the given d

Managerial Statistics (25)
Iwona Nowakowska
STATISTICAL INFERENCE
ESTIMATION
is the calculated approximation of unknown
value, even if input data may be incomplete or uncertain.
Point
Interval
involves the use of sample data to
calculate a single value

Managerial Statistics (20)
Iwona Nowakowska
STATISTICS
Comprehensive Analysis of Dynamics
Example:
(*)
Student eats during a lunch break: sandwich, juice, cake and coffee. The price
structure and the amount of eaten food products in February and June have

Managerial Statistics (3)
Iwona Nowakowska
STATISTICS
Descriptive measures
There are three different forms of descriptive measures in descriptive
statistics:
1)
The first form of descriptive measures is the measure of central
tendency, which is also calle

Managerial Statistics (18)
Iwona Nowakowska
STATISTICS
Some basic economics index numbers
Simple Indexes
- Simple Price Index
- Simple Quantity Index
- Simple Value Index
is a number that expresses the relative change in
price, quantity or value from one

Managerial Statistics (24)
Iwona Nowakowska
STATISTICAL INFERENCE
Theoretical Probability Distributions
Some discrete probability distributions
One Point Distribution
Degenerate Distribution
random variable
( = ) =
Probability distribution:
1
The variab

KOZMINSKI UNIVERSITY
Innovativeness and Creativity
Final group project
Creative solution for restaurant
Daniel Blaszczyk
Paulina Motyka
Marcin Lapinski 23351
Piotr Pasternak
Lise-Lotte H. Overgaaad
27.11.2015
Academic Year 2015/2016
Semester: 1st
We hereb

Managerial Accounting Cost Behavior
Learning Objectives
After studying this lesson, you should be able to:
Explain the meaning of cost behavior, and define and describe
fixed and variable costs.
Define and describe mixed and step costs.
Separate mixed cos

Managerial Accounting CVP Analysis
Learning Objectives
After studying this lesson, you should be able to:
Compute the contribution margin, the contribution margin ratio, and the
unit contribution margin.
Determine the break-even point and sales necessar

Chapter
2
Formulating and clarifying
the research topic
Learning outcomes
By the end of this chapter you should be able to:
generate ideas that will help in the choice of a suitable research topic;
identify the attributes of a good research topic;
turn re

Qualitative Methods
Literature review. Research
design.
Agata Stasik
Komiski University
1.
INTRODUCTION / WHAT IS RESEARCH / ORGANIZATION
2.
APPLIED VS BASIC RESEARCH / FORMULATION OF THE RESEARCH QUESTION
3.
RESEARCH PROCESS / LITERATURE REVIEW
4.
RESEAR

Qualitative Methods:
Interviews
Agata Stasik
Komiski University
METHODS: INTERVIEW
Steered conversation
For what?
Find out new facts (what people do?)
Learn about opinions and interpretations
(why people do that?)
METHODS: INTERVIEW
Ethnographic / unst

>bringingresearchtolifecontd
facts management has gathered, what the managers are
concerned about, what the problem is from their point
of view, what the problem really is at various levels of
abstraction.
Listening to people. Discussing. Looking at thing

Managerial Statistics (7)
Iwona Nowakowska
STATISTICS
Descriptive measures
The measures of variation
The measures of spread
The measures of dispersion
Absolute measures of dispersion
the range
the standard deviation
the quartile deviation
the mean deviati

Managerial Statistics (19)
Iwona Nowakowska
STATISTICS
Aggregate Indexes
Aggregate indexes are used to measure the rate of change from a period to
period for a group of items.
Aggregate Indexes
unweighted
weighted
Laspeyres
Paasche
index
index
1
Manageri

Managerial Statistics (5)
Iwona Nowakowska
STATISTICS
Descriptive measures
Quartiles
Measures of position
The quartiles:
- first quartile
the lower quartile
- second quartile =
- third quartile
the middle quartile
the upper quartile
The quartiles ar

Managerial Statistics (4)
Iwona Nowakowska
STATISTICS
Descriptive measures
The most important measures of center:
the mean -
the median -
the mode - ()
the mean
the median
the mode
The Median
Another frequently used measure of center is the median .
The

Managerial Statistics (26)
Iwona Nowakowska
STATISTICAL INFERENCE
HYPOTHESIS TESTING
A statistical hypothesis testing
data obtained from a sample.
is a method of making decisions using
is the use of statistics to determine the
probability that a given h

Managerial Statistics (13)
Iwona Nowakowska
The standard error of estimate
In general we can evaluate the utility of a regression equation for making
predictions.
Our predictions are subject to error.
For the standard error of estimate we use a measure o

Managerial Statistics (9)
Iwona Nowakowska
STATISTICS
Descriptive measures
Measures of dispersion
Absolute measures of dispersion
Relative measures of dispersion
repetition:
Absolute measures of dispersion
the range
the standard deviation
R
the quartile

Managerial Statistics (11)
Iwona Nowakowska
STATISTICS
Correlation and Regression
Notation:
- a variable
- observations (values of the variable )
- a variable
- observations (values of the variable )
We frequently want to know whether two or more vari

Managerial Statistics (23)
Iwona Nowakowska
Random Variables
In probability and statistics, a random variable is a variable whose value is
not known. Its possible values might represent the possible outcomes of
performed statistical experiment.
is any pr

Managerial Statistics (22)
Iwona Nowakowska
Probability Theory
_
Since inferential statistics involves using information obtained from a part of
a population (a sample) to draw conclusions about the entire population, we
can never be certain that our conc

Managerial Statistics (21)
Iwona Nowakowska
STATISTICS
Time Series
Trend Analysis
The term "trend analysis" refers to the concept of collecting information and
attempting to spot a pattern or trend the general direction in which
something tends to move.
T

Managerial Statistics (2)
Iwona Nowakowska
STATISTICS
Statistical Graphs
Data recorded in experiments or surveys is displayed by a statistical graph.
We will discuss some types of statistical graphs.
Pictograph
A pictograph uses an
icon to represent a
qua

1. Unethical Organization- characteristics, internal and external sources of
organizational dysfunctionalities. Dysfunctionalities Types (what can be
dysfunctional in an Organization- examples).
Definition of unethical behavior: Actions, which do not conf

Introduction
Founded in 1992, a large group, is now Luoyang and the well-known retail
brand name, the company name "Henan Large Industrial Company Limited", is
a company with more than 60 commercial outlets in the country's retail chain
enterprises, is th

Meituan business plan
Table of Contents
1. Executive Summary
1.1 Company Overview
1.2 Holdings
1.3 Management
1.3.1. No management or spontaneous management;
1.3.2. Scientific management belongs to the modern enterprise management;
1.3.3. A fair, open and

Introduction:
Everybody seems to know that getting emotional about investment decisions
and market fluctuations is a bad idea. However, when it comes to making
investments, human psychology often plays a large role and investors have a
difficult time keep

Introduction. Case description
In this report I am going to speak about change development and strategy. As an
example I have chosen LI-NING which is the biggest traditional Chinese sports
brand company.
Prior to 2003, Li Ning, the company has used too su