Numbers, Hypotheses & Conclusions: A Course in Statistics for the Social SciencesJuta 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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1.–5. rezultāts no 59.
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Saturs
Numbers variables and measures | 2 |
Displaying data | 18 |
Central tendency | 40 |
Variability | 52 |
Probability and theoretical distributions | 70 |
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 |
520 | |
Bieži izmantoti vārdi un frāzes
Activity alpha assumptions average boxplots calculate cell means chart class interval column contingency table correlation coefficient dataset defined degrees of freedom depression descriptive statistics determine dialog box effect size error variance estimate example factor factorial ANOVA family planning familywise error rate Figure formula frequency distribution graph group means independent variable interaction linear median menu meta-analysis methods MSError MSGroup multiple regression null hypothesis one-way ANOVA option outcomes outliers output percentile population mean prediction probability procedure proportion random range rank regression equation reject the null rejection region relationship repeated measures ANOVA reported sample mean samples t-test sampling distribution scale scatterplot scores significant social sciences spreadsheet SPSS standard deviation standard error standard normal distribution subjects summary sums of squares systematic variance t-test tion transformed tutorial Type I error variation window z-score