Levine Dkk_statistics for Manager 6ed_01
-
Upload
statistikbisnis -
Category
Documents
-
view
32 -
download
0
description
Transcript of Levine Dkk_statistics for Manager 6ed_01
Statistics for Managers using Microsoft Excel
6th Edition
Chapter 1
Introduction
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-1
1-11-1
Learning Objectives
In this chapter you learn:
• How business uses statistics
• The basic vocabulary of statistics
• How to use Microsoft Excel with this book
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-2
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-2Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-2
Why Learn Statistics
Make better sense of the world
• Internet articles / reports
• Magazine articles
• Newspaper articles
• Television & radio reports
Make better business decisions
• Business memos
• Business research
• Technical journals
• Technical reports
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-3
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-3Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-3
In Business, Statistics Has Many Important Uses
• To summarize business data
• To draw conclusions from business data
• To make reliable forecasts about business activities
• To improve business processes
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-4
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-4Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-4
Two Different Branches Of Statistics Are Used In Business
Statistics The branch of mathematics that transforms data into useful information for decision makers.
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-5
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-5Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-5
Descriptive Statistics
Collecting, summarizing, presenting and analyzing data
Inferential Statistics
Using data collected from a small group to draw conclusions about a larger group
These Two Branches Are Used In The Important Activities
• To summarize business data– Descriptive methods used to create charts & tables
• To draw conclusions from business data– Inferential methods used to reach conclusions about
a large group based on data from a smaller group
• To make reliable forecasts about business activities– Inferential methods used to develop, quantify, and
improve the accuracy of predictive models
• To improve business processes– Involves managerial approaches like Six Sigma
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-6
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-6Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-6
Descriptive Statistics
• Collect data
– e.g., Survey
• Present data
– e.g., Tables and graphs
• Characterize data
– e.g., The sample mean
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-7
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-7Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-7
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
pounds
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-8
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-8Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-8
Drawing conclusions about a large group of individuals based on a smaller group.
Basic Vocabulary of Statistics
VARIABLES
Variables are a characteristics of an item or individual and are what you
analyze when you use a statistical method.
DATA
Data are the different values associated with a variable.
OPERATIONAL DEFINITIONS
Data values are meaningless unless their variables have operational
definitions, universally accepted meanings that are clear to all associated
with an analysis.
1-9Copyright ©2011 Pearson Education,
Inc. publishing as Prentice HallCopyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-9Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-9
Basic Vocabulary of Statistics
POPULATION
A population consists of all the items or individuals about which
you want to draw a conclusion. The population is the “large
group”
SAMPLE
A sample is the portion of a population selected for analysis. The
sample is the “small group”
PARAMETER
A parameter is a numerical measure that describes a characteristic
of a population.
STATISTIC
A statistic is a numerical measure that describes a characteristic of
a sample.1-10
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice HallCopyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-10Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-10
Population vs. Sample
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-11
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-11Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-11
Population Sample
Measures used to describe the
population are called parameters
Measures used to describe the
sample are called statistics
This Book Is Organized To Show The Four Uses Of Statistics
• To summarize business data (Chapters 2 & 3)
• To draw conclusions from business data (Chapters 4 – 12)
• To make reliable forecasts about business activities (Chapters 13 – 16)
• To improve business processes (Chapter 18)
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-12
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-12Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-12
Chapter Summary
Introduced the basic vocabulary of statistics and the
role of statistics in turning data into information to
facilitate decision making
Examined the use of statistics to:
Summarize data
Draw conclusions from data
Make reliable forecasts
Improve business processes
Examined descriptive vs. inferential statistics
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-13
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-13Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-13
In this chapter, we have
Copyright ©2011 Pearson Education,
Inc. publishing as Prentice Hall1-14
Copyright ©2011 Pearson Education, Inc. publishing as Prentice Hall 1-14
All rights reserved. No part of this publication may be reproduced, stored in a retrieval
system, or transmitted, in any form or by any means, electronic, mechanical, photocopying,
recording, or otherwise, without the prior written permission of the publisher.
Printed in the United States of America.