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Statistics for Business and Economics /

By: Contributor(s): Material type: TextTextPublication details: Harlow : Pearson, c2013.Edition: 8th edDescription: 1 v. (XII-792 pages.) : IllustrationsISBN:
  • 9780273767060
  • 0273767062
Subject(s): LOC classification:
  • HF 1017 NEW
Contents:
Using graphs to describe data -- Using numerical measures to describe data -- Elements of chance : probability methods -- Discrete probability distributions -- Continuous probability distributions -- Distributions of sample statistics -- Confidence interval estimation : one population -- Confidence interval estimation : further topics -- Hypothesis tests of a single population -- Two population hypothesis tests -- Two variable regression analysis -- Multiple variable regression analysis -- Additional topics in regression analysis -- Introduction to nonparametric statistics -- Analysis of variance -- Forecasting with time-series models -- Sampling : stratified, cluster, and other sampling methods.
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Holdings
Item type Current library Call number Status Date due Barcode
Book GIMPA Main Reference Section HF 1017 NEW (Browse shelf(Opens below)) Available 67136
Book GIMPA Main General Stack HF 1017 NEW (Browse shelf(Opens below)) Available 67137
Book GIMPA Main General Stack HF 1017 NEW (Browse shelf(Opens below)) Available 67138
Book GIMPA Main General Stack HF 1017 NEW (Browse shelf(Opens below)) Available 67139

Includes index.

Using graphs to describe data -- Using numerical measures to describe data -- Elements of chance : probability methods -- Discrete probability distributions -- Continuous probability distributions -- Distributions of sample statistics -- Confidence interval estimation : one population -- Confidence interval estimation : further topics -- Hypothesis tests of a single population -- Two population hypothesis tests -- Two variable regression analysis -- Multiple variable regression analysis -- Additional topics in regression analysis -- Introduction to nonparametric statistics -- Analysis of variance -- Forecasting with time-series models -- Sampling : stratified, cluster, and other sampling methods.

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