Emphasizing real business uses of statistics, and focusing on basic understanding and interpretation theory rather than mathematical precision and formula detail, this work contains a projects section at the end of each chapter, which bring statistics closer to students' needs.
Auflage
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Maße
Höhe: 250 mm
Breite: 200 mm
ISBN-13
978-0-256-19407-4 (9780256194074)
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Schweitzer Klassifikation
Introduction and descriptive statistics; 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; probability - understanding random situations; random variables - working with uncertain numbers; statistical inference; random sampling - planning ahead for data gathering; confidence intervals - admitting that estimates are not exact; hypothesis testing - deciding between reality and coincidence; regression and time series; 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; methods and applications; ANOVA - testing for differences among many samples, and much more; non-parametrics - testing with ordinal data or nonormal distributions; chi-squared analysis - testing for patterns in qualitative data; quality control - recognising and managing variation.
