Statistics in Criminal Justice: Analysis and InterpretationJones & Bartlett Learning, 1999 - 362 lappuses Criminal Justice / Law Enforcement |
No grāmatas satura
1.–5. rezultāts no 88.
vi. lappuse
... Data : The Process of Measurement How Variables Can Differ .19 ..19 .21 Levels of Measurement .21 Nominal ..22 Ordinal ..23 Interval .24 Ratio .27 The Process for Determining Level of Measurement ..28 Changing Levels ... 29 Scale ...
... Data : The Process of Measurement How Variables Can Differ .19 ..19 .21 Levels of Measurement .21 Nominal ..22 Ordinal ..23 Interval .24 Ratio .27 The Process for Determining Level of Measurement ..28 Changing Levels ... 29 Scale ...
vii. lappuse
... Data .79 Median for Grouped Data ..79 Mean .83 Selecting the Most Appropriate Measure of Central Tendency Conclusion ... Level Table Construction ..131 Statistical Tables .. Nominal Level Table Construction Analysis of Bivariate Table of ...
... Data .79 Median for Grouped Data ..79 Mean .83 Selecting the Most Appropriate Measure of Central Tendency Conclusion ... Level Table Construction ..131 Statistical Tables .. Nominal Level Table Construction Analysis of Bivariate Table of ...
viii. lappuse
... Data Spearman's Rho and Pearson's r ... An Issue Of Significance Conclusion Chapter 9 - Measures of the Strength of a Relationship What Is Association ? Nominal Level Data Calculation Interpretation Ordinal Level Data Tau Calculation ...
... Data Spearman's Rho and Pearson's r ... An Issue Of Significance Conclusion Chapter 9 - Measures of the Strength of a Relationship What Is Association ? Nominal Level Data Calculation Interpretation Ordinal Level Data Tau Calculation ...
ix. lappuse
... Level Data Establishing Direction for Interval / Ratio Level Data Nature of the Association Establishing the Nature of the Distribution for Nominal and Ordinal Level Data ..197 .197 ..197 ..200 .201 ..201 Establishing the Nature of the ...
... Level Data Establishing Direction for Interval / Ratio Level Data Nature of the Association Establishing the Nature of the Distribution for Nominal and Ordinal Level Data ..197 .197 ..197 ..200 .201 ..201 Establishing the Nature of the ...
3. lappuse
Atvainojiet, šīs lappuses saturs ir ierobežots..
Atvainojiet, šīs lappuses saturs ir ierobežots..
Saturs
Chapter 1The Logic of Comparisons and Analysis | 1 |
Chapter 2Variables and Measurement | 19 |
Summarizing Data | 43 |
Chapter 4Measures of Central Tendency | 73 |
Chapter 5Measures of Dispersion | 93 |
Chapter 6The Form of a Distribution | 111 |
Chapter 7Introduction To Bivariate Descriptive Statistics | 127 |
Chapter 8Measures of ExistenceStatistical Significance of a Relationship | 139 |
BRIDGING THE GAP BETWEEN | 211 |
Chapter 12Multivariate Measures of Association | 225 |
Chapter 13Introduction to Inferential Analysis | 255 |
Steps in Hypothesis Testing | 275 |
Conclusion | 283 |
Chapter 16Putting It All Together | 309 |
Appendix AMath Review and Practice Test | 315 |
Appendix BList of Variables | 327 |
Chapter 9Measures of the Strength of a Relationship | 163 |
Chapter 10Measures of Direction and Nature of a Relationship | 197 |
351 | |
Bieži izmantoti vārdi un frāzes
bivariate table calculated cell central tendency characteristics Chi-square choropleth maps column correlation crime criminal justice critical value crosstab data set deadly force degrees of freedom Delinquent dependent variable descriptive statistics determine dichotomized difference examine example factor analysis Figure formula frequency distribution Gamma graphical representation graphs groups histogram hypothesis testing important independent interpretation interval level data interval/ratio juvenile Kurtosis Lambda level of data level of measurement level variables maps mean measure of central measure of dispersion measures of association median mesokurtic method mode nominal level data normal curve normally distributed null hypothesis OCCUPIED HOUSING UNITS ordinal level data output Pearson's percentage person police polygon population predicting probability regression reject the null relationship represent research process sample scores skewed Somers Spearman's Rho SPSS square standard deviation statistical analysis statistical procedures symmetric t-test theory tion Type II error univariate Valid Value Label variance victims Z score