| Description |
1 online resource (672 pages) |
| Contents |
MIND ON STATISTICS; Preface; Acknowledgements; About the Authors; Resources Guide; CHAPTER 1 -- Thinking statistically; 1.1 What is statistics?; 1.2 Some statistical stories in real and complex problems ; Case Study 1.1; Case Study 1.2; Case Study 1.3; Case Study 1.5; Case Study 1.6; 1.3 Statistics starts before data are collected; 1.4 The discovery of knowledge; CHAPTER 2 -- Gathering and preparing useful data; 2.1 Datasets and types of investigations; Case Study 2.1; 2.2 Some practicalities and challenges in planning datainvestigations; 2.3 Types of data and variables; 2.4 Surveys |
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Case Study 2.2Case Study 2.3; Case Study 2.4; 2.5 Designing experiments; 2.6 Some types of observational studies; 2.7 Some cautions in experiments and observational studies; CHAPTER 3 -- Turning data into graphical information; 3.1 Exploratory data analysis (EDA); 3.2 Categorical data; Case Study 3.1; 3.3 Graphs and plots for one continuous variable; 3.4 Continuous and categorical data; 3.5 More than one continuous variable; CHAPTER 4 -- Data summaries and inferential concepts; 4.1 Features of quantitative data; 4.2 Measures of location; 4.3 Measures of spread or dispersion; 4.4 Shape |
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4.5 Estimates and interval estimation: confidence intervals4.6 Answering questions; 4.7 Bell-shaped distributions; CHAPTER 5 -- Investigating categorical variables and theirrelationships; 5.1 Background for categorical data; 5.2 More than two categorical variables; 5.3 One categorical variable: testing a set of proportions; 5.4 p-values and testing statistical hypotheses; 5.5 Testing independence of two categorical variables; Case Study 5.1; 5.6 Risk, relative risk and misleading statistics about risk; Case Study 5.2; CHAPTER 6 -- Probability essentials for data analysis |
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6.1 What is probability?Case Study 6.1; 6.2 Where do values of probabilities come from?; 6.3 What is a random variable?; 6.4 Expected values, standard deviations, medians, quartilesand percentiles of random variables; 6.5 Parameters and estimates; 6.6 Three special distributions; Case Study 6.2 ; CHAPTER 7- Estimating proportions with confidence; 7.1 Percentages and proportions abound; 7.2 Confidence intervals for proportions; Case study 7.1; 7.3 Confidence intervals for the difference in two proportions; 7.4 Sample size to estimate a proportion |
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7.5 Background for confidence intervals for proportions7.6 Confidence intervals and decisions; CHAPTER 8 -- Analysis of variance: categorical predictors, continuous response; 8.1 Examples of data investigations that include continuousresponses and possible categorical explanatory variables; 8.2 One-way ANOVA; 8.3 Assumptions and diagnostics for ANOVA; 8.4 Multiple comparisons; 8.5 Two-way ANOVA; 8.6 More on continuous response and categoricalexplanatory variables; 8.7 Other methods for investigating effects of a categoricalvariable on a continuous variable |
| Summary |
This text is adapted from Jessica Utts and Robert Heckard's best-selling general introductory statistics text, Mind on Statistics. It emphasises the conceptual development of statistical ideas and seeks to find meaning in data. This local adaptation retains the conversational approach of the original text, with real examples and case studies of appeal and interest to Australian and New Zealand students. The revised structure and relevant examples motivate students and guide them through the statistical process of tackling problems, planning and data collection, analysing and interpreting infor |
| Notes |
8.8 Models, notation and calculations for ANOVA |
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Print version record |
| Subject |
Statistics.
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statistics.
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Statistics
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| Form |
Electronic book
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| Author |
Utts, Jessica M
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Heckard, Robert F
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| ISBN |
9780170270731 |
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0170270734 |
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