Coverart for item
The Resource Business analytics and statistics, Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi

Business analytics and statistics, Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi

Label
Business analytics and statistics
Title
Business analytics and statistics
Statement of responsibility
Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi
Creator
Contributor
Author
Subject
Genre
Language
eng
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Black, Ken
Dewey number
519.5
Index
index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Asafu-Adjaye, John
  • Burke, Paul F.
  • Khan, Nazim
  • King, Gerard
  • Perera, Nelson
  • Papadimos, Andrew
  • Sherwood, Carl
  • Wasimi, Saleh A.
http://library.link/vocab/subjectName
  • Management
  • Commercial statistics
Label
Business analytics and statistics, Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Business analytics and statistics; Brief contents; Contents; Preface; Key features; Print text; Interactive eBook; About the authors; 1 Data and business analytics; Introduction; 1.1 Informing business strategy; 1.2 Business analytics; 1.3 Basic statistical concepts; Types of data; 1.4 Big data; 1.5 Data mining; Machine learning; SUMMARY; KEY TERMS; REVIEW PROBLEMS; REFERENCES; ACKNOWLEDGEMENTS; 2 Data visualisation; Introduction; 2.1 Frequency distributions; Class midpoint; Relative frequency; Cumulative frequency; 2.2 Basic graphical displays of data; Histograms; Frequency polygons
  • OgivesPie charts; Stem-and-leaf plots; Pareto charts; Scatterplots; 2.3 Multidimensional visualisation; Representations; Manipulations; 2.4 Data visualisation tools; Interactive visualisations; Visualisation software; SUMMARY; KEY TERMS; REVIEW PROBLEMS; ACKNOWLEDGEMENTS; 3 Descriptive summary measures; Introduction; 3.1 Measures of central tendency; Mode; Median; Mean; 3.2 Measures of location; Percentiles; Quartiles; 3.3 Measures of variability; Range; Interquartile range; Variance and standard deviation; Population versus sample variance and standard deviation
  • Computational formulas for variance and standard deviationz-scores; Coefficient of variation; 3.4 Measures of shape; Skewness; Skewness and the relationship of the mean, median and mode; Coefficient of skewness; Kurtosis; Box-and-whisker plots; 3.5 Measures of association; Correlation; SUMMARY; KEY TERMS; KEY EQUATIONS; REVIEW PROBLEMS; MATHS APPENDIX; Summation notation; ACKNOWLEDGEMENTS; 4 Probability; Introduction; 4.1 Methods of determining probabilities; Classical method; Relative frequency of occurrence method; Subjective probability method; 4.2 Structure of probability; Experiment
  • EventElementary events; Sample space; Set notation, unions and intersections; Mutually exclusive events; Independent events; Collectively exhaustive events; Complementary events; 4.3 Contingency tables and probability matrices; Marginal, union, joint and conditional probabilities; Probability matrices; 4.4 Addition laws; General law of addition; Special law of addition; 4.5 Multiplication laws; General law of multiplication; Special law of multiplication; 4.6 Conditional probability; Assessing independence; Tree diagrams; Revising probabilities and Bayes' rule; SUMMARY; KEY TERMS
  • KEY EQUATIONSREVIEW PROBLEMS; ACKNOWLEDGEMENTS; 5 Discrete distributions; Introduction; 5.1 Discrete versus continuous distributions; 5.2 Describing a discrete distribution; Mean, variance and standard deviation of discrete distributions; 5.3 Binomial distribution; Assumptions about the binomial distribution; Solving a binomial problem; Using the binomial table; Mean and standard deviation of a binomial distribution; Graphing binomial distributions; 5.4 Poisson distribution; Solving Poisson problems by formula; Mean and standard deviation of a Poisson distribution
  • Graphing Poisson distributions
Control code
on1059417292
Dimensions
unknown
Edition
First edition
Extent
1 online resource (677 pages)
File format
unknown
Form of item
online
Isbn
9780730355441
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1059417292
Label
Business analytics and statistics, Ken Black, John Asafu-Adjaye, Paul Burke, Nazim Khan, Gerard King, Nelson Perera, Andrew Papadimos, Carl Sherwood, Saleh Wasimi
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Business analytics and statistics; Brief contents; Contents; Preface; Key features; Print text; Interactive eBook; About the authors; 1 Data and business analytics; Introduction; 1.1 Informing business strategy; 1.2 Business analytics; 1.3 Basic statistical concepts; Types of data; 1.4 Big data; 1.5 Data mining; Machine learning; SUMMARY; KEY TERMS; REVIEW PROBLEMS; REFERENCES; ACKNOWLEDGEMENTS; 2 Data visualisation; Introduction; 2.1 Frequency distributions; Class midpoint; Relative frequency; Cumulative frequency; 2.2 Basic graphical displays of data; Histograms; Frequency polygons
  • OgivesPie charts; Stem-and-leaf plots; Pareto charts; Scatterplots; 2.3 Multidimensional visualisation; Representations; Manipulations; 2.4 Data visualisation tools; Interactive visualisations; Visualisation software; SUMMARY; KEY TERMS; REVIEW PROBLEMS; ACKNOWLEDGEMENTS; 3 Descriptive summary measures; Introduction; 3.1 Measures of central tendency; Mode; Median; Mean; 3.2 Measures of location; Percentiles; Quartiles; 3.3 Measures of variability; Range; Interquartile range; Variance and standard deviation; Population versus sample variance and standard deviation
  • Computational formulas for variance and standard deviationz-scores; Coefficient of variation; 3.4 Measures of shape; Skewness; Skewness and the relationship of the mean, median and mode; Coefficient of skewness; Kurtosis; Box-and-whisker plots; 3.5 Measures of association; Correlation; SUMMARY; KEY TERMS; KEY EQUATIONS; REVIEW PROBLEMS; MATHS APPENDIX; Summation notation; ACKNOWLEDGEMENTS; 4 Probability; Introduction; 4.1 Methods of determining probabilities; Classical method; Relative frequency of occurrence method; Subjective probability method; 4.2 Structure of probability; Experiment
  • EventElementary events; Sample space; Set notation, unions and intersections; Mutually exclusive events; Independent events; Collectively exhaustive events; Complementary events; 4.3 Contingency tables and probability matrices; Marginal, union, joint and conditional probabilities; Probability matrices; 4.4 Addition laws; General law of addition; Special law of addition; 4.5 Multiplication laws; General law of multiplication; Special law of multiplication; 4.6 Conditional probability; Assessing independence; Tree diagrams; Revising probabilities and Bayes' rule; SUMMARY; KEY TERMS
  • KEY EQUATIONSREVIEW PROBLEMS; ACKNOWLEDGEMENTS; 5 Discrete distributions; Introduction; 5.1 Discrete versus continuous distributions; 5.2 Describing a discrete distribution; Mean, variance and standard deviation of discrete distributions; 5.3 Binomial distribution; Assumptions about the binomial distribution; Solving a binomial problem; Using the binomial table; Mean and standard deviation of a binomial distribution; Graphing binomial distributions; 5.4 Poisson distribution; Solving Poisson problems by formula; Mean and standard deviation of a Poisson distribution
  • Graphing Poisson distributions
Control code
on1059417292
Dimensions
unknown
Edition
First edition
Extent
1 online resource (677 pages)
File format
unknown
Form of item
online
Isbn
9780730355441
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1059417292

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
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