Numbers, Hypotheses & Conclusions: A Course in Statistics for the Social Sciences

Pirmais vāks
Kevin Durrheim, Colin Tredoux
Juta and Company Ltd, 2004 - 542 lappuses
A tutorial-based programme that addresses some of the problems involved in teaching statistics to undergraduate social science students. It emphasises contemporary approaches to data analysis, the role of statistics in sampling, and the idea that inference depends upon how sampling is conducted.

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Saturs

Numbers variables and measures
2
Displaying data
18
Central tendency
40
Variability
52
Probability and theoretical distributions 70
85
The standard normal distribution
90
The sampling distribution of the mean
108
the ztest
127
Factorial analysis of variance
289
Repeated measures analysis of variance
311
Multiple regression
338
Chisquare test
364
Distributionfree tests
385
Meta analysis
402
Statistical reasoning
423
Mathematics and Software Support
443

Ttests
142
Regression 160
179
Correlation
181
Measurement
201
Statistical power
230
The logic of analysis of variance
252
Oneway analysis of variance
271
Basic work with numbers
444
Equations substitution and summation
461
Reading and understanding graphs
472
Statistical tables
485
Starting with SPSS
496
References
520
Autortiesības

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