| Description |
xii, 662 pages : illustrations (chiefly colour) ; 28 cm |
| Contents |
Contents: 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; 2 Data visualisation; Introduction; 2.1 Frequency distributions; Class midpoint; Relative frequency; Cumulative frequency; 2.2 Basic graphical displays of data; Histograms; Frequency polygons |
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OgivesPie charts; Stem-and-leaf plots; Pareto charts; Scatterplots; 2.3 Multidimensional visualisation; Representations; Manipulations; 2.4 Data visualisation tools; Interactive visualisations; Visualisation software; 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 |
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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; 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 |
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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 |
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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 |
| Bibliography |
Includes index |
| Subject |
Commercial statistics
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Statistics
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Management -- Statistical methods -- Textbooks
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Commercial statistics -- Australasia -- Textbooks
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| SUBJECT |
Australia -- Commerce -- Statistics
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New Zealand -- Commerce -- Statistics
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Australasia -- Commerce -- Statistics
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| Reading List |
MIS171 prescribed text 2024
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| Author |
Asafu-Adjaye, John, author
|
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Burke, Paul F., author
|
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Khan, Nazim, author
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King, Gerard, author
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Perera, Nelson, author
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Papadimos, Andrew, author
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Sherwood, Carl, author
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Wasimi, Saleh A. (Saleh Ahmed), author
|
| ISBN |
9780730363330 |
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