Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 1-1 Chapter 1 Introduction and Data Collection Basic Business Statistics 10 th Edition.

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1 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 1-1 Chapter 1 Introduction and Data Collection Basic Business Statistics 10 th Edition

2 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-2 Learning Objectives In this chapter you learn: How Statistics is used in business The sources of data used in business The types of data used in business

3 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-3 Basic Concepts of Statistics Statistics is concerned with: Processing and analyzing data Collecting, presenting, and transforming data to assist decision makers

4 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-4 Key Definitions A population (universe) is the collection of all members of a group A sample is a portion of the population selected for analysis A parameter is a numerical measure that describes a characteristic of a population A statistic is a numerical measure that describes a characteristic of a sample

5 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-5 Population vs. Sample a b c d ef gh i jk l m n o p q rs t u v w x y z PopulationSample b c g i n o r u y Measures used to describe a population are called parameters Measures computed from sample data are called statistics

6 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-6 Two Branches of Statistics Descriptive statistics Collecting, summarizing, and presenting data Inferential statistics Drawing conclusions about a population based only on sample data

7 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-7 Descriptive Statistics Collect data e.g., Survey Present data e.g., Tables and graphs Characterize data e.g., Sample mean =

8 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-8 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 Drawing conclusions about a population based on sample results.

9 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-9 Collecting Data Secondary Data Compilation Observation Experimentation Print or Electronic Survey Primary Data Collection

10 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-10 Types of Data Data CategoricalNumerical DiscreteContinuous Examples: Marital Status Political Party Eye Color (Defined categories) Examples: Number of Children Defects per hour (Counted items) Examples: Weight Voltage (Measured characteristics)

11 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Levels of Measurement and Measurement Scales Interval Data Ordinal Data Nominal Data Highest Level (Strongest forms of measurement) Higher Levels Lowest Level (Weakest form of measurement) Categories (no ordering or direction) Ordered Categories (rankings, order, or scaling) Differences between measurements but no true zero Ratio Data Differences between measurements, true zero exists

12 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Levels of Measurement and Measurement Scales Interval Data Ordinal Data Nominal Data Height, Age, Weekly Food Spending Service quality rating, Standard & Poor’s bond rating, Student letter grades Marital status, Type of car owned Ratio Data Temperature in Fahrenheit, Standardized exam score Categories (no ordering or direction) Ordered Categories (rankings, order, or scaling) Differences between measurements but no true zero Differences between measurements, true zero exists EXAMPLES:

13 Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc.. Chap 1-13 Chapter Summary Reviewed basic concepts of statistics:  Population vs. Sample  Parameter vs. Statistic  Primary vs. Secondary data sources Defined descriptive vs. inferential statistics Reviewed types of data and measurement scales  Categorical vs. Numerical data  Discrete vs. Continuous data  Nominal and Ordinal scales  Interval and Ratio scales