book

Statistics for Business

by Derek Waller

May 2010

Intermediate to advanced

536 pages

14h 38m

English

Routledge

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Numerical DataCategorical DataChapter SummaryExercise Problems
Central Tendency of DataDispersion of DataQuartilesPercentilesChapter SummaryExercise Problems
Basic Probability RulesSystem Reliability and ProbabilityCounting RulesChapter SummaryExercise Problems

Distribution for Discrete Random VariablesBinomial DistributionPoisson DistributionChapter SummaryExercise Problems
Describing the Normal DistributionDemonstrating That Data Follow a Normal DistributionUsing a Normal Distribution to Approximate a Binomial DistributionChapter SummaryExercise Problems
Statistical Relationships in Sampling for the MeanSampling for the Means from an Infinite PopulationSampling for the Means from a Finite PopulationSampling Distribution of the ProportionSampling MethodsChapter SummaryExercise Problems
Estimating the Mean ValueEstimating the Mean Using the Student-t DistributionEstimating and AuditingEstimating the ProportionMargin of Error and Levels of ConfidenceChapter SummaryExercise Problems
Concept of Hypothesis TestingHypothesis Testing for the Mean ValueHypothesis Testing for ProportionsThe Probability Value in Testing HypothesisRisks in Hypothesis TestingChapter SummaryExercise Problems
Difference Between the Mean of Two Independent PopulationsDifferences of the Means Between Dependent or Paired PopulationsDifference Between the Proportions of Two Populations with Large SamplesChi-Square Test for DependencyChapter SummaryExercise Problems
A Time Series and CorrelationLinear Regression in a Time Series DataLinear Regression and Causal ForecastingForecasting Using Multiple RegressionForecasting Using Non-linear RegressionSeasonal Patterns in ForecastingConsiderations in Statistical ForecastingChapter SummaryExercise Problems
Relative Time-Based IndexesRelative Regional IndexesWeighting the Index NumberChapter SummaryExercise Problems

Overview

Statistical analysis is essential to business decision-making and management, but the underlying theory of data collection, organization and analysis is one of the most challenging topics for business students and practitioners. This user-friendly text and CD-ROM package will help you to develop strong skills in presenting and interpreting statistical information in a business or management environment.

Based entirely on using Microsoft Excel rather than more complicated applications, it includes a clear guide to using Excel with the key functions employed in the book, a glossary of terms and equations, plus a section specifically for those readers who feel rusty in basic maths. Each chapter has worked examples and explanations to illustrate the use of statistics in real life scenarios, with databases for the worked examples, cases and answers on the accompanying CD-ROM.