Chapter 1 Exploratory Data Analysis: Observing Patterns and Departures from Patterns |
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1 | (142) |
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1.1 Interpreting Graphical Displays of Data Collections |
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2 | (46) |
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1.1.1 Construction of a Histogram |
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17 | (31) |
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1.2 Numerically Summarizing One-Variable Data Collections |
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48 | (47) |
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1.2.1 Effects of a Linear Transformation |
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78 | (17) |
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1.3 Comparing One-Variable Data Collections |
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95 | (29) |
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124 | (19) |
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124 | (4) |
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1.B Data Analysis/Computational |
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128 | (10) |
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138 | (2) |
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140 | (3) |
Chapter 2 Exploring Bivariate and Categorical Data |
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143 | (56) |
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2.1 Exploring the Relationship Between Two Quantitative Variables |
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143 | (26) |
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2.1.1 Common Types of Relationships - No Association, Positive Association, Negative Association |
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144 | (8) |
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2.1.2 Scatterplot Smoothing |
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152 | (9) |
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2.1.3 Including a Third Variable on Scatterplots |
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161 | (8) |
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2.2 Measuring the Strength of Association |
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169 | (13) |
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175 | (3) |
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2.2.2 An Alternative Measure of Association |
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178 | (4) |
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2.3 Exploring the Relationship between Two Categorical Variables (Frequency Tables) |
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182 | (8) |
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190 | (9) |
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190 | (2) |
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2.B Data Analysis/Computational |
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192 | (3) |
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195 | (2) |
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197 | (2) |
Chapter 3 Designing a Survey or Experiment: Deciding What and How to Measure |
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199 | (44) |
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3.1 Methods of Data Collection |
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201 | (17) |
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3.2 Planning and Conducting Surveys or Polls |
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218 | (9) |
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3.3 Planning and Conducting Experiments |
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227 | (10) |
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237 | (6) |
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237 | (1) |
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3.B Data Analysis/Computational |
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238 | (2) |
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240 | (1) |
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241 | (2) |
Chapter 4 Understanding Random Events: Producing Models Using Probability and Simulation |
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243 | (88) |
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4.1 Probability as Relative Frequency: Law of Large Numbers |
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245 | (8) |
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4.2 Some Basic Probability Rules |
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253 | (13) |
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255 | (2) |
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4.2.2 Conditional Probability |
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257 | (1) |
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4.2.3 Multiplication Rule |
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258 | (8) |
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4.3 Discrete Random Variables and Their Probability Distributions |
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266 | (13) |
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4.3.1 Binomial Distribution |
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268 | (4) |
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4.3.2 Geometric Distribution |
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272 | (7) |
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4.4 Simulating Probability Distributions |
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279 | (6) |
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4.5 Expected Values and Standard Deviations for Random Variables |
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285 | (6) |
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4.6 Combining Random Variables |
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291 | (4) |
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295 | (20) |
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4.7.1 Probability Calculations for Normal Distributions |
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299 | (7) |
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4.7.2 Using Normal Distributions as Models for Measurements |
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306 | (9) |
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315 | (16) |
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315 | (2) |
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4.B Data Analysis/Computational |
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317 | (8) |
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325 | (3) |
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328 | (3) |
Chapter 5 Sampling Distributions and Approximations |
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331 | (86) |
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5.1 The Sampling Distribution for a Sample Average |
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333 | (13) |
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5.1.1 Comparing Two Averages |
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339 | (7) |
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5.2 Sampling Distributions for Proportions and Counts |
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346 | (20) |
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5.2.1 Comparing Two Proportions |
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350 | (2) |
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5.2.2 Comparing Several Proportions |
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352 | (2) |
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5.2.3 Using Ranks and Counts to Compare Two Samples |
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354 | (12) |
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5.3 Approximating Sampling Distributions |
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366 | (14) |
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5.4 Simulating Sampling Distributions |
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380 | (17) |
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397 | (20) |
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397 | (3) |
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5.B Data Analysis/Computational |
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400 | (13) |
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413 | (1) |
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414 | (3) |
6 Statistical Inference: Estimating Probabilities and Testing and Confirming Models |
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417 | (120) |
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420 | (12) |
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432 | (34) |
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466 | (44) |
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510 | (27) |
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510 | (7) |
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6.B Data Analysis/Computational |
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517 | (13) |
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530 | (3) |
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533 | (4) |
7 Statistical Inference for the Center of a Population |
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537 | (96) |
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7.1 Exact Inference for the Center of a Population under a Minimal Assumption |
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539 | (15) |
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7.2 Exact Inference for the Center of a Continuous Population Under the Assumption of Population Symmetry |
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554 | (20) |
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7.3 Inference for the Center of a Normal Distribution-Procedures Associated with the Sample Mean and Sample Standard Deviation |
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574 | (19) |
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7.4 Discussion of Methods of Inference for the Center of a Population |
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593 | (11) |
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7.5 Approximate Inference for the Center of a Population when the Number of Sample Observations is Large |
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604 | (12) |
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7.6 Approximate Inference for the Median of an Arbitrary Distribution - Bootstrapping the Sample Median |
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616 | (5) |
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621 | (12) |
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621 | (2) |
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7.B Data Analysis/Computational |
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623 | (5) |
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628 | (2) |
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630 | (3) |
8 Statistical Inference for Matched Pairs or Paired Replicates Data |
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633 | (36) |
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8.1 Inference for Continuous Paired Replicates or Matched Pairs Data |
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636 | (13) |
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8.2 Inference for Qualitative Differences-Data from Paired Replicates or Matched Pairs Experiments |
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649 | (6) |
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655 | (14) |
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655 | (2) |
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8.B Data Analysis/Computational |
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657 | (9) |
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666 | (1) |
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667 | (2) |
9 Statistical Inference for Two Populations-Independent Samples |
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669 | (104) |
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9.1 Approximate Inference for the Difference in Proportions for Two Populations |
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671 | (16) |
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9.2 Inference for the Difference in Medians for Any Two Continuous Populations |
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687 | (21) |
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9.3 Approximate Inference for the Difference in Means for Two Populations-Procedures Based on the Two Sample Averages and Sample Standard Deviations |
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708 | (26) |
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9.4 Inference for the Difference in Means for Two Normal Populations with Equal Variances-Procedures Based on the Two Sample Averages and a Pooled Sample Standard Deviation |
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734 | (14) |
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9.5 Discussion of the Methods of Inference for the Difference Between the Centers of Two Populations with Independent Samples |
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748 | (1) |
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749 | (24) |
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749 | (1) |
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9.B Data Analysis/Computational |
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750 | (16) |
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766 | (3) |
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769 | (4) |
10 Statistical Inference for Two-Way Tables of Count Data |
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773 | (66) |
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10.1 General Test for Differences in Population Proportions |
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776 | (11) |
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10.2 Test for Association (Independence) between Two Categorical Attributes |
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787 | (14) |
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10.3 Exact Procedure for Testing Equality of Two Population Proportions |
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801 | (7) |
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10.4 Goodness-of-fit Test for Probabilities in a Multinomial Distribution with I > 2 Categories |
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808 | (9) |
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817 | (22) |
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817 | (3) |
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10.B Data Analysis/Computational |
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820 | (12) |
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832 | (2) |
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834 | (5) |
11 Statistical Inference for Bivariate Populations |
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839 | (68) |
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11.1 Correlation Procedures for Bivariate Normal Populations |
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840 | (11) |
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11.2 Rank-Based Correlation Procedures |
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851 | (9) |
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11.3 Fitting a Least Squares Line to Bivariate Data |
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860 | (7) |
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11.4 Linear Regression Inference for Normal Populations |
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867 | (7) |
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11.5 Rank-Based Linear Regression Inference |
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874 | (9) |
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883 | (24) |
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883 | (6) |
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11.B Data Analysis/Computational |
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889 | (12) |
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901 | (1) |
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902 | (5) |
12 Statistical Inference for More Than Two Populations |
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907 | (40) |
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12.1 One-way Rank-Based General Alternatives ANOVA for More Than Two Populations |
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909 | (7) |
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12.2 One-way General Alternatives ANOVA for More Than Two Normal Populations |
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916 | (10) |
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12.3 One-way Rank-Based Ordered Alternatives ANOVA for More Than Two Populations |
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926 | (9) |
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935 | (12) |
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935 | (1) |
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12.B Data Analysis/Computational |
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936 | (6) |
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942 | (2) |
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944 | (3) |
Appendix A: Listing of Datasets Usage Locations Throughout IIS |
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947 | (4) |
Appendix B: Listing of R Functions Usage Locations Throughout IIS |
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951 | (4) |
Bibliography |
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955 | (12) |
Index |
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967 | |