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Practical business statistics / Andrew F. Siegel.

By: Material type: TextTextPublication details: New York : McGrawhill ; 2002.Edition: 15th edDescription: xxvi, 854p. : ill. ; 24 cmISBN:
  • 0072499052
Subject(s): LOC classification:
  • HD 30.215 .S57 2002
Contents:
Introduction Defining the Role of Statistics in Business -- Data Structures Classifying the Various Types of Data Sets -- Histograms Looking at the Distribution of the Data -- Landmark Summaries Interpreting Typical Values and Percentiles --Variability Dealing with Diversity -- Probability Understanding Random Situations -- Random Variables Working with Uncertain Numbers -- Random Sampling Planning Ahead for Data Gathering --Confidence Intervals Admitting that Estimates Are Not Exact --Hypothesis Testing Deciding between Reality and Coincidence -- Correlation and Regression Measuring and Predicting Relationships -- Multiple Regression Predicting One Factor from Several Others -- Report Writing Communicating the Results of a Multiple Regression -- Time Series Understanding Changes over Time.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - Mang'u General Stacks Non-fiction HD 30.215 .S57 2002 (Browse shelf(Opens below)) C5 Available Z000575
Books Books Zetech Library - Pioneer General Stacks Non-fiction HD 30.215 .S57 2002 (Browse shelf(Opens below)) C1 Available Z000579
Books Books Zetech Library - Pioneer General Stacks Non-fiction HD 30.215 .S57 2002 (Browse shelf(Opens below)) C3 Available Z000577
Books Books Zetech Library - Pioneer General Stacks Non-fiction HD 30.215 .S57 2002 (Browse shelf(Opens below)) C4 Available Z000576
Books Books Zetech Library - TRC General Stacks Non-fiction HD 30.215 .S57 2002 (Browse shelf(Opens below)) C2 Available Z000578

Includes Index

Introduction Defining the Role of Statistics in Business -- Data Structures Classifying the Various Types of Data Sets --
Histograms Looking at the Distribution of the Data -- Landmark Summaries Interpreting Typical Values and Percentiles --Variability Dealing with Diversity -- Probability Understanding Random Situations -- Random Variables Working with Uncertain Numbers -- Random Sampling Planning Ahead for Data Gathering --Confidence Intervals Admitting that Estimates Are Not Exact --Hypothesis Testing Deciding between Reality and Coincidence -- Correlation and Regression Measuring and Predicting Relationships -- Multiple Regression Predicting One Factor from Several Others -- Report Writing Communicating the Results of a Multiple Regression -- Time Series Understanding Changes over Time.

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