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Unformatted text preview: Statistics Chapter 1: Statistics, Data and Statistical Thinking McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 2 Where Were Going Introduction to the field of statistics How statistics applies to realworld problems Establish the link between statistics and data Differentiate between population and sample data Differentiate between descriptive and inferential statistics McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 3 1.1: The Science of Statistics Statistics is the science of data. This involves collecting, classifying, summarizing, organizing, analyzing and interpreting numerical information. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 4 1.2: Types of Statistical Applications McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 5 1.2: Types of Statistical Applications Descriptive statistics utilizes numerical and graphical methods to look for patterns in a data set, to summarize the information revealed in a data set and to present that information in a convenient form. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 6 1.2: Types of Statistical Applications Inferential statistics utilizes sample data to make estimates, decisions, predictions or other generalizations about a larger set of data. McClave, Statistics, 11th ed. Chapter 1: Statistics, Data and Statistical Thinking 7 1.3: Fundamental Elements of Statistics An experimental unit is an object about which we collect data....
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This note was uploaded on 06/05/2010 for the course MBA BUS 511 taught by Professor Ahc during the Spring '10 term at North South University.
 Spring '10
 AHC
 Business

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