Product Description
Numbers, Hypotheses & Conclusions (3rd edition) (WebPDF)
Authors: C Tredoux, K Durheim
Format: Digital
Statistics and quantitative methods are brought to life for social science students in this tutorial course. This revised edition provides an overview of entry- and intermediate-level statistics, and the material on the accompanying website provides extensive practice.
Both the text and the website are structured to make learning self-directed, thus numerous worked examples, exercises, activities and tests are included. The emphasis, throughout, is on practice. Students are expected to engage with the material and experience multiple aspects of data and statistical analysis. Most of the tutorials include detailed examples of how to conduct analyses in Microsoft Excel, SPSS, or R.
Entry-level topics include
• A review of basic mathematics
• Displaying data and descriptive statistics
• Normal distribution theory and practice
• Probability and hypothesis testing
• Correlation and regression
• One-way ANOVA
• Nonparametric statistics.
Intermediate-level topics include:
• Factorial and repeated measures ANOVA
• Multiple regression
• Statistical power
• Factor analysis
• Bootstrapping
• Multiple approaches to data.
Additional material is given on:
• The use of spreadsheets to analyse data
• The use of the internet to assist quantitative research
• The use of the R and SPSS statistical software packages
• Statistical tables.
Contents:
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Tutorial 1 Numbers, variables, and measurement
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Tutorial 2 Displaying data
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Tutorial 3 Central tendency and variation
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Tutorial 4 Probability and theoretical distributions
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Tutorial 5 The standard normal distribution
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Tutorial 6 The sampling distribution of the mean
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Tutorial 7 Hypothesis testing the z-test
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Tutorial 8 Hypothesis testing the t-test
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Tutorial 9 Scatterplots and correlation
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Tutorial 10 Simple regression
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Tutorial 11 Measurement
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Tutorial 12 Statistical power
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Tutorial 13 Analysis of variance (ANOVA
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Tutorial 14 Factorial analysis of variance
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Tutorial 15 Repeated measures analysis of variance
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Tutorial 16 Multiple regression
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Tutorial 17 Factor analysis
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Tutorial 18 Chi-square (χ2) test
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Tutorial 19 Distribution-free tests
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Tutorial 20 Bootstrapping and randomisation methods
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Tutorial 21 Statistical reasoning
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Tutorial 22 Basic work with numbers
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Tutorial 23 Equations, substitution, and summation
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Tutorial 24 Reading and understanding graphs
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