© 2003 prentice-hall, inc. statistics for managers david towers tel: 012437668 [email protected]

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© 2003 Prentice-Hall, Inc. Statistics for Managers David Towers Tel: 012437668 [email protected]

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© 2003 Prentice-Hall, Inc.

Statistics for Managers

David TowersTel: 012437668

[email protected]

© 2003 Prentice-Hall, Inc.

My Experience and Background

AALCO – MIS System and ISO 9000 work in largest metal supplier in UK

Aberdeen College – College Statistician. Supplying MI for Strategic Management, Funding, PI, Marketing

Nortel Networks – Statistician -Improving Quality by Using Statistics to develop Performance Metrics

BACS – Senior Statistician. Forecasting trends for the worlds Largest Bank Clearing House

Progression LLC – Management Consultancy Sheffield Hallam University - MIS for Strategic

Management

© 2003 Prentice-Hall, Inc.

The Course Aim, Purpose and Learning Outcomes

Course Aim and Purpose:This course has aims provide a practical and approach to in the

use of statistics in order for the students to gain an understanding about: -

Basic statistical theory Management statistics used in different organizations; and Statistical techniques used to undertake research.

Learning Outcomes:It is intended for a student to gain an understanding: - how to use computers to undertake statistical tasks how to explore and understand data How to display data. how to investigate the relationship between variables. about statistical confidence intervals how to use and select basic statistical hypothesis tests

© 2003 Prentice-Hall, Inc.

Why is this course important for Graduate Students

You will learn How to provide and analyze

Management information used in Business Government and Educational organizations

How to apply basic statistics techniques to conduct in the business and academic environment

© 2003 Prentice-Hall, Inc.

How you will be graded

Grading may subject to change

The overall course grade will be derivedfrom the following assessments:50% - Final Exam20% - Mid Term Exam15% - Homework10% - Data Analysis Assignment5% - Class Participation

© 2003 Prentice-Hall, Inc.

Course Content

1. Introduction to statistics and data2. Presenting Numerical and Categorical

Data in Tables and Charts 3. Numerical Descriptive Measures4. The Normal Distribution Fundamentals

of Hypothesis Testing

© 2003 Prentice-Hall, Inc.

About this course This course attempts not to be a traditional

statistics course of formulas and definitions. This course will also follow book Business Basic

Statistics (8th Edition) Prentice Hall 2003

The lecture will be complemented from the CD Rom supplied with the Basic Business Statistics

A SPSS course will be given next term when you study Business Research Methods

© 2003 Prentice-Hall, Inc.

Statistics for Managers

Chapter 1Data and its context

© 2003 Prentice-Hall, Inc.

Chapter Topics

What is Statistics Why a Manager Needs to Know About

Statistics The Growth and Development of Modern

Statistics Some Important Definitions Descriptive Versus Inferential Statistics

© 2003 Prentice-Hall, Inc.

Chapter Topics

Why Data are Needed Types of Data and Their Sources Data and its Context

(continued)

© 2003 Prentice-Hall, Inc.

What is Statistics?

Control, Minimize as see past the Variability

Methods to display, compare and model

© 2003 Prentice-Hall, Inc.

Why a Manager Needs to Know About Statistics

To Know How to Properly Present Information

To Know How to Draw Conclusions about Populations Based on Sample Information

To Know How to Improve Processes To Know How to Obtain Reliable

Forecasts

© 2003 Prentice-Hall, Inc.

The Growth and Development of Modern

Statistics

Needs of government to collect data on its citizenry

The development of the mathematics of probability theory

The advent of the computer

© 2003 Prentice-Hall, Inc.

Some Important Definitions

A Population (Universe) is the Whole Collection of Things Under Consideration

A Sample is a Portion of the Population Selected for Analysis

A Parameter is a Summary Measure Computed to Describe a Characteristic of the Population

A Statistic is a Summary Measure Computed to Describe a Characteristic of the Sample

© 2003 Prentice-Hall, Inc.

Population and Sample

Population Sample

Use parameters to summarize features

Use statistics to summarize features

Inference on the population from the sample

© 2003 Prentice-Hall, Inc.

Statistical Methods

Descriptive Statistics Collecting and describing data

Inferential Statistics Drawing conclusions and/or making

decisions concerning a population based only on sample data

© 2003 Prentice-Hall, Inc.

Descriptive Statistics

Collect Data E.g., Survey

Present Data E.g., Tables and graphs

Characterize Data E.g., Sample Mean =

iX

n

© 2003 Prentice-Hall, Inc.

Inferential Statistics

Estimation E.g., Estimate the

population mean weight using the sample mean weight

Hypothesis Testing E.g., Test the claim that

the population mean weight is 120 poundsDrawing conclusions and/or making decisions concerning a population based on sample results.

© 2003 Prentice-Hall, Inc.

Why We Need Data

To Provide Input to Survey To Provide Input to Study To Measure Performance of Ongoing Service or

Production Process To Evaluate Conformance to Standards (Is the

target being achieved) To Assist in Formulating Alternative Courses of

Action (Plan how to take action when the target is not achieved)

To Satisfy Curiosity

© 2003 Prentice-Hall, Inc.

Data Sources

Observation

Experimentation

Survey

Print or Electronic

Data Sources

© 2003 Prentice-Hall, Inc.

Types of Data

Nominal Ordinal

Categorical(Qualitative)

Discrete Continuous

Numerical(Quantitative)

Data

© 2003 Prentice-Hall, Inc.

Hand outs

Your Handouts will be e-mailed to you before the lecture.

You will need to down load the files and print them so you can take them to the Lecture

However, today is your first lecture so we have prepared some paper copies

© 2003 Prentice-Hall, Inc.

Two Types of Variables Data Type ExampleCategorical (Qualitative)

Nominal Hair Color, Political Party

Data in Groups Ordinal(Data in Order)

Age: Child, Young, OldEducation Level: None, High School, Degree, Post Grad

Numerical (Quantitative)

Discrete

Continuous

Age in years 1 year, 2 years

1 man 2 men 3 men…Salary $360….$200000Always has Units

What type of variables is Make of Car, Subject, Profit, Religion, Gender

© 2003 Prentice-Hall, Inc.

What are the Data?

Data Values – not matter what Kind are useless without their context

Who (or what) is being surveyed? Essential What Information is being collected? Essential When ( was the data collected – It may not say) Where ( was the data collected – It may not say) Why ( was the data collected – It may not say) How ( was the data collected – It may not say)

© 2003 Prentice-Hall, Inc.

Example 1Levi Strauss & Company, the makers of jeans,

surveyed students. The Students were shown a list of clothing. They were asked : -

“Which clothes would be most popular this year?” Who or what is being surveyed? A) Students B) Jeans C) Levi Strauss What Information is being collected? A) Clothes Popularity B)Jeans C) Students Why was the data collected? A) Advertising B)Marketing C) Don’t Know

© 2003 Prentice-Hall, Inc.

Example 2

Advertisements in the New York Times claimed that 84% of frequent business travelers prefer Midway Metrolink flights to Chicago rather than flights on American, United, or T W A.

What Information was collected?A) Airline Preference B) Travel Frequency C) Business

Travelers Why was the data collected?A) Advertising B)Marketing C) Don’t Know Who or what is being surveyed? A) Business Executives B) Business Travelers C)

Experienced Travelers

© 2003 Prentice-Hall, Inc.

Example 3: A survey sponsored by the Gun Industry found

that 54% of adults in the U.S. felt that it would not be fair to ban Handguns

Why was the data collected? A) Advertising B)Marketing C) To Persuade

Government Who or what is being surveyed? A) Robbers B) Soldiers C) U.S. Adults What Information was collected? A) Gun Preference B) Frequency Guns Used C) Show

me the question!

© 2003 Prentice-Hall, Inc.

Example 1: In 2004, Toyota Car Company did Market Research by telephone to identify what their customers living in Cambodia wanted in their next car. The interviewer just asked 4 questions: -

1. Sex (Select Male or Female)2. The Type of Car the respondents wanted (Select Sports Car, 4x4 Car,

Luxury Car, Other)3. The exact price they would pay for a Car the respondents would bay

(Answer number of $ dollars)4. The age of the customer (Answer given by selecting 18-25, 25-40,40-

45,45-60, Older than 60)Who/What is getting surveyed

  Categorical-Nominal

Categorical Ordinal

Numerical-Scale

What information is collected in the telephone survey?

e.g. Sex

                            

Why  Where  When  How  

x

© 2003 Prentice-Hall, Inc.

Example 2: In May, a student wanted survey the Motos in a University car park to see what other students drove. He looked at each moto and recorded the following information on paper

How Old the Motos (He ticked either New, Old , Very Old) Country the moto was made in The name of the firm that made the moto Distance Driven in milesComplete the following table

Who/What is getting surveyed

  Categorical-Nominal

Categorical Ordinal

Numerical-Scale

What information is collected in the survey?

e.g. How old the moto was

                            

Why  Where  When  How  

X