Preface |
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xiii | |
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Chapter 1 Introduction to Statistics |
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1 | (34) |
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1.1 The Purpose of Statistics |
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1 | (3) |
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1.2 Experiments and Variables |
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4 | (10) |
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1.3 Levels of Measurement |
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14 | (5) |
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1.4 The Language of Statistics |
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19 | (2) |
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1.5 Statistical Notation and Rounding |
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21 | (14) |
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Application Demonstration |
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26 | (2) |
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28 | (1) |
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29 | (6) |
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Chapter 2 Frequency Distributions |
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35 | (38) |
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2.1 Frequency Distributions |
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35 | (11) |
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2.2 Discrete Numbers and Continuous Numbers |
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46 | (4) |
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2.3 Graphing Frequency Distributions |
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50 | (6) |
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2.4 Shapes of Frequency Distributions |
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56 | (17) |
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Application Demonstration |
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60 | (3) |
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63 | (1) |
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64 | (4) |
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68 | (5) |
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Chapter 3 Measures of Central Tendency and Variability |
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73 | (28) |
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73 | (10) |
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83 | (18) |
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Application Demonstration |
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92 | (2) |
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94 | (1) |
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95 | (3) |
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98 | (3) |
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Chapter 4 Standard Scores and the Normal Distribution |
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101 | (32) |
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4.1 Standard Scores (z Scores) |
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101 | (5) |
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4.2 The Normal Distribution |
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106 | (11) |
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4.3 Percentile Ranks, Middle Percentages, and Extreme Percentages |
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117 | (16) |
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Application Demonstration |
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124 | (2) |
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126 | (1) |
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127 | (2) |
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129 | (4) |
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Chapter 5 Sampling and Probability |
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133 | (30) |
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5.1 Sampling and Sampling Error |
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133 | (5) |
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5.2 Sampling Distributions and the Central Limit Theorem |
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138 | (10) |
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5.3 The Rules of Probability |
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148 | (15) |
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Application Demonstration |
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156 | (1) |
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157 | (2) |
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159 | (2) |
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161 | (2) |
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Chapter 6 Introduction to Hypothesis Testing |
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163 | (32) |
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6.1 The Logic of Hypothesis Testing |
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163 | (3) |
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6.2 Hypothesis Testing in Action |
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166 | (15) |
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6.3 Type I Error, Type II Error, Beta, and Power |
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181 | (14) |
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Application Demonstration |
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189 | (1) |
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190 | (1) |
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191 | (4) |
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195 | (1) |
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Chapter 7 The Single-Sample t Test |
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195 | (38) |
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7.1 Calculating the Single-Sample t Test |
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195 | (12) |
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7.2 Interpreting the Single-Sample t Test |
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207 | (26) |
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Application Demonstration |
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222 | (3) |
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225 | (1) |
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226 | (4) |
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230 | (3) |
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Chapter 8 Independent-Samples t Test |
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233 | (34) |
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8.1 Types of Two-Sample t Tests |
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234 | (1) |
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8.2 Calculating the Independent-Samples t Test |
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235 | (11) |
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8.3 Interpreting the Independent-Samples t Test |
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246 | (21) |
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Application Demonstration |
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254 | (2) |
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256 | (1) |
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257 | (5) |
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262 | (5) |
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Chapter 9 The Paired-Samples t Test |
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267 | (30) |
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267 | (2) |
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9.2 Calculating the Paired-Samples t Test |
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269 | (9) |
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9.3 Interpreting the Paired-Samples t Test |
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278 | (19) |
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Application Demonstration |
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285 | (3) |
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288 | (1) |
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289 | (4) |
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293 | (4) |
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Chapter 10 Between-Subjects, One-Way Analysis of Variance |
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297 | (48) |
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10.1 Introduction to Analysis of Variance |
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297 | (6) |
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10.2 Calculating Between-Subjects, One-Way ANOVA |
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303 | (18) |
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10.3 Interpreting Between-Subjects, One-Way ANOVA |
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321 | (24) |
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Application Demonstration |
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331 | (3) |
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334 | (1) |
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335 | (6) |
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341 | (4) |
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Chapter 11 One-Way, Repeated-Measures ANOVA |
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345 | (36) |
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11.1 Introduction to Repeated-Measures ANOVA |
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345 | (2) |
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11.2 Calculating One-Way, Repeated-Measures ANOVA |
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347 | (10) |
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11.3 Interpreting One-Way, Repeated-Measures ANOVA |
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357 | (24) |
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Application Demonstration |
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365 | (6) |
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371 | (1) |
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371 | (6) |
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377 | (4) |
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Chapter 12 Between-Subjects, Two-Way Analysis of Variance |
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381 | (50) |
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12.1 Introduction to Two-Way ANOVA |
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381 | (9) |
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12.2 Calculating a Between-Subjects, Two-Way ANOVA |
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390 | (14) |
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12.3 Interpreting a Between-Subjects, Two-Way ANOVA |
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404 | (27) |
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Application Demonstration |
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416 | (3) |
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419 | (1) |
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420 | (6) |
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426 | (5) |
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Chapter 13 The Pearson Correlation Coefficient |
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431 | (52) |
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13.1 Introduction to the Pearson Correlation Coefficient |
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431 | (13) |
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13.2 Calculating the Pearson Correlation Coefficient |
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444 | (13) |
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13.3 Interpreting the Pearson Correlation Coefficient |
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457 | (26) |
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Application Demonstration |
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469 | (2) |
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471 | (1) |
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472 | (7) |
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479 | (4) |
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Chapter 14 Simple and Multiple Linear Regression |
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483 | (28) |
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14.1 Simple Linear Regression |
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483 | (12) |
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14.2 Errors in Regression |
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495 | (3) |
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498 | (13) |
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Application Demonstration |
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502 | (1) |
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503 | (1) |
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504 | (3) |
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507 | (4) |
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Chapter 15 Nonparametric Statistical Tests |
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511 | (50) |
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15.1 Introduction to Nonparametric Tests |
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511 | (1) |
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15.2 The Chi-Square Goodness-of-Fit Test |
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512 | (13) |
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15.3 Calculating the Chi-Square Test of Independence |
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525 | (14) |
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15.4 Interpreting the Chi-Square Test of Independence |
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539 | (5) |
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15.5 Other Nonparametric Tests |
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544 | (17) |
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Application Demonstration |
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548 | (3) |
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551 | (1) |
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552 | (6) |
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558 | (3) |
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Chapter 16 Selecting the Right Statistical Test |
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561 | |
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16.1 Descriptive Statistics |
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563 | (5) |
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16.2 Hypothesis Tests I: Difference Tests |
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568 | (5) |
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16.3 Hypothesis Tests II: Relationship Tests |
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573 | |
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Application Demonstration |
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575 | (2) |
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577 | (1) |
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578 | (4) |
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582 | |
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Appendix A Statistical Tables |
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1 | (1) |
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1 | (6) |
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Table 2 Random Number Table |
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7 | (1) |
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Table 3 Critical Values of t (tcv) |
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8 | (2) |
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Table 4a Critical Values of F (Fcv), α = 05 |
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10 | (4) |
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Table 4b Critical Values of F, α = .01 |
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14 | (4) |
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Table 5a Studentized Range (q) Values, α = 05 |
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18 | (2) |
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Table 5b Studentized Range (q) Values, α = .01 |
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20 | (2) |
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Table 6 Critical Values of r (rcv) |
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22 | (2) |
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Table 7 Fisher's r to z Transformation |
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24 | (1) |
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Table 8 Fisher z to r Transformation |
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25 | (1) |
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Table 9 Critical Values of Chi-Square (X2cv) |
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26 | |
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Appendix B Solutions to Odd-Numbered End-of-Chapter Exercises |
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1 | (1) |
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Appendix C Solutions to Practice Problems |
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1 | (1) |
Glossary |
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1 | (1) |
References |
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1 | (1) |
Index |
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1 | |