Statistics Explained: A Guide for Social Science StudentsThis text outlines the major statistical tests used by undergraduates in the social sciences. It provides easy-to-understand explanations of how and why they are used and aims to make statistics much less mysterious. |
Contents
Descriptive statistics | 7 |
in conclusion | 17 |
Standard scores | 29 |
Introduction to hypothesis testing | 33 |
Sampling | 45 |
Hypothesis testing with | 57 |
24 | 62 |
Selecting samples for comparison | 69 |
One factor ANOVA for ranked | 225 |
The Friedman test for related samples | 232 |
34 | 237 |
Chisquare x2 as a test of independence | 246 |
Linear correlation | 253 |
Linear regression | 262 |
Problems with correlation and regression | 268 |
Multiple correlation | 275 |
The interpretation of sample differences | 75 |
Significance error and power | 91 |
9595 | 99 |
Introduction to the analysis | 103 |
One factor independent | 117 |
Multiple comparisons | 129 |
One factor repeated measures | 141 |
The interaction of factors | 153 |
Dividing up the between conditions sums of squares | 159 |
Calculating the two factor | 165 |
The two factor mixed design ANOVA | 177 |
47 | 182 |
The two factor repeated measures ANOVA | 188 |
A nonsignificant interaction | 200 |
Calculating ranks | 206 |
54 | 217 |
The Wilcoxon signedranks test for related samples | 218 |
Multiple correlation | 281 |
Using statistics programs | 289 |
Notes | 295 |
Glossary | 297 |
Appendix Statistical tables | 303 |
The standard normal distribution tables | 306 |
131 | 307 |
Critical values of the F distribution | 308 |
Critical values of the Studentized range statistic q | 310 |
Critical values of the MannWhitney U statistic | 311 |
Critical values of the Wilcoxon T statistic | 313 |
Critical values of the chisquare x² distribution | 314 |
Table of probabilities for x² when k and n are small | 315 |
Critical values of the Pearson r correlation coefficient | 316 |
Critical values of the Spearman r ranked correlation | 317 |
| 319 | |
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Statistics Explained: A Guide for Social Science Students Perry Roy Hinton No preview available - 1995 |
Common terms and phrases
analysis of variance assumptions B₁ boys calculated value chance Chapter comparison conditions of Factor conditions sums conditions variance Critical values Cyadmine degrees of freedom dferror distribution tables effect of gender error term examination performance example experiment F distribution F value factor ANOVA Figure formula Friedman test girls hypothesis is true independent measures ANOVA independent variable intelligence interval scale known distribution Kruskal-Wallis test level of significance look mean square MSAXB n₁ n₂ null hypothesis number of conditions number of errors number of scores number of subjects Old School one-tailed test population mean random errors ratings regression line reject the null repeated measures researcher sample means science subjects significance level significant difference simple main effects SS bet.conds standard error sums of squares systematic differences T₁ table value Type I error unknown usual-IQ distribution Variance ratio Wilcoxon signed-ranks test X₁ z scores zero Σχ