The Basic Practice of Statistics w/CD-ROM

by Moore, David S.

• ISBN13: 9780716758815
• ISBN10: 0716758814
• Edition: 3rd
• Format: Hardcover
• Copyright: 2003-06-04
• Publisher: W. H. Freeman

Summary

http://www.netread.com/jcusers2/bk1388/815/9780716758815/image/lgcover.9780716758815.jpg

Table of Contents

To the Instructor: About This Book	ix
To the Student: Statistical Thinking	xx
Part I: Exploring Data	1	(171)
Chapter 1 Picturing Distributions with Graphs	3	(29)
Individuals and variables	3	(3)
Categorical variables: pie charts and bar graphs	6	(3)
Quantitative variables: histograms	9	(2)
Interpreting histograms	11	(4)
Quantitative variables: stemplots	15	(3)
Time plots	18	(14)
Chapter 2 Describing Distributions with Numbers	32	(24)
Measuring center: the mean	32	(2)
Measuring center: the median	34	(1)
Comparing the mean and the median	35	(1)
Measuring spread: the quartiles	36	(2)
The five-number summary and boxplots	38	(4)
Measuring spread: the standard deviation	42	(2)
Choosing measures of center and spread	44	(1)
Using technology	45	(11)
Chapter 3 The Normal Distributions	56	(23)
Density curves	56	(3)
The median and mean of a density curve	59	(2)
Normal distributions	61	(2)
The 68-95-99.7 rule	63	(2)
The standard Normal distribution	65	(2)
Normal distribution calculations	67	(4)
Finding a value given a proportion	71	(8)
Chapter 4 Scatterplots and Correlation	79	(25)
Explanatory and response variables	79	(3)
Displaying relationships: scatterplots	82	(1)
Interpreting scatterplots	83	(3)
Adding categorical variables to scatterplots	86	(2)
Measuring linear association: correlation	88	(2)
Facts about correlation	90	(14)
Chapter 5 Regression	104	(30)
The least-squares regression line	105	(3)
Using technology	108	(2)
Facts about least-squares regression	110	(3)
Residuals	113	(3)
Influential observations	116	(3)
Cautions about correlation and regression	119	(1)
Association does not imply causation	120	(14)
Chapter 6 Two-Way Tables	134	(17)
Marginal distributions	135	(2)
Describing relationships between categorical variables	137	(1)
Conditional distributions	138	(3)
Simpsons paradox	141	(10)
Exploring Data: Part I Review	151	(21)
Part II: From Exploration to Inference	172	(236)
Chapter 7 Producing Data: Sampling	175	(24)
Observation versus experiment	175	(3)
Sampling	178	(2)
Simple random samples	180	(4)
Other sampling designs	184	(1)
Cautions about sample surveys	185	(4)
Inference about the population	189	(10)
Chapter 8 Producing Data:
Experiments	199	(3)
Comparative experiments	202	(1)
Randomized comparative experiments	203	(1)
Completely randomized designs	204	(2)
The logic of randomized comparative experiments	206	(2)
Cautions about experimentation	208	(1)
Matched pairs designs	209	(1)
Block designs	210	(13)
Chapter 9 Introducing Probability	223	(26)
The idea of probability	224	(2)
Thinking about randomness	226	(2)
Probability models	228	(2)
Probability rules	230	(2)
Assigning probabilities: finite number of outcomes	232	(3)
Assigning probabilities: intervals of outcomes	235	(2)
Normal probability models	237	(1)
Random variables	237	(2)
Personal probability	239	(10)
Chapter 10 Sampling Distributions	249	(31)
Parameters and statistics	249	(2)
Statistical estimation and the law of large numbers	251	(2)
Sampling distributions	253	(3)
The sampling distribution of x	256	(2)
The central limit theorem	258	(4)
Statistical process control	262	(1)
x charts	263	(5)
Thinking about process control	268	(12)
Chapter 11 General Rules of Probability	280	(24)
Independence and the multiplication	281	(3)
Applying the multiplication rule	284	(2)
The general addition rule	286	(2)
Conditional probability	288	(3)
The general multiplication rule	291	(1)
Independence	292	(2)
Tree diagrams	294	(10)
Chapter 12 Binomial Distributions	304	(16)
The binomial setting and binomial distributions	304	(1)
Binomial distributions in statistical sampling	305	(1)
Binomial probabilities	306	(3)
Using technology	309	(1)
Binomial mean and standard deviation	310	(2)
The Normal approximation to binomial distributions	312	(8)
Chapter 13 Confidence Intervals: The Basics	320	(20)
Estimating with confidence	321	(5)
Confidence intervals for the mean µ	326	(3)
How confidence intervals behave	329	(2)
Choosing the sample size	331	(9)
Chapter 14 Tests of Significance: The Basics	340	(25)
The reasoning of tests of significance	341	(2)
Stating hypotheses	343	(2)
Test statistics	345	(1)
P-values	346	(3)
Statistical significance	349	(1)
Tests for a population mean	350	(4)
P-values and significance levels	354	(3)
Tests from confidence intervals	357	(8)
Chapter 15 Inference in Practice	365	(43)
Where did the data come from?	366	(1)
Cautions aboutthe z procedures	367	(2)
Cautions about confidence intervals	369	(1)
Cautions about significance tests	370	(4)
The power of a test	374	(4)
Type I and Type II errors	378	(11)
From Exploration to Inference: Part II Review	389	(19)
Part III: Inference about Variables	408	(118)
Inference about a Population Mean	411	(1)
Conditions for inference	411	(1)
The t distributions	412	(2)
The one-sample t confidence interval	414	(3)
The one-sample t test	417	(3)
Using technology	420	(1)
Matched pairs t procedures	421	(4)
Robustness of t procedures	425	(13)
Chapter 17 Two-Sample Problems	438	(31)
Two-sample problems	438	(2)
Comparing two population means	440	(2)
Two-sample t procedures	442	(3)
Examples of the two-sample t procedures	445	(4)
Using technology	449	(2)
Robustness again	451	(1)
Details of the t approximation	452	(2)
Avoid the pooled two-sample t procedures	454	(1)
Avoid inference about standard deviations	455	(1)
The F test for comparing two standard deviations	455	(14)
Chapter 18 Inference about a Population Proportion	469	(23)
The sample proportion p	470	(1)
The sampling distribution of p	470	(3)
Conditions for inference	473	(2)
Large-sample confidence intervals for a proportion	475	(3)
Accurate confidence intervals for a proportion	478	(3)
Choosing the sample size	481	(2)
Significance tests for a proportion	483	(9)
Chapter 19 Comparing Two Proportions	492	(34)
Two-sample problems: proportions	492	(1)
The sampling distribution of a difference between proportions	493	(1)
Large-sample confidence intervals for comparing proportions	494	(2)
Using technology	496	(1)
Accurate confidence intervals for comparing proportions	497	(3)
Significance tests for comparing proportions	500	(11)
Inference about Variables: art III Review	511	(15)
Part IV: Inference about Relationships	526	(104)
Chapter 20 Two Categorical Variables: The Chi-Square Test	529	(33)
Two-way tables	529	(3)
The problem of multiple comparisons	532	(1)
Expected counts in two-way tables	533	(2)
The chi-square test	535	(1)
Using technology	536	(5)
The chi-square distributions	541	(2)
Uses of the chi-square test	543	(1)
Cell counts required for the chi-square test	544	(2)
The chi-square test and the z test	546	(1)
The chi-square test for goodness of fit	547	(15)
Chapter 21 Inference for Regression	562
The regression model	564	(1)
Estimating the model parameters	565	(3)
Using technology	568	(2)
Confidence intervals for the regression slope	570	(3)
Testing the hypothesis of no linear relationship	573	(3)
Testing lack of correlation	576	(2)
Inference about prediction	578	(3)
Checking the conditions for inference	581
Chapter 22 One-Way Analysis of Variance: Comparing Several Means	59?	(592)
Comparing several means	599	(1)
The analysis of variance F test	600	(2)
Using technology	602	(5)
The idea of analysis of variance	607	(4)
The ANOVA model	611	(5)
Some details of ANOVA	616	(14)
Statistical Thinking Revisited	630	(3)
Notes and Data Sources	633	(18)
Tables	651	(11)
Table A Standard Normal probabilities	652	(2)
Table B Random digits	654	(1)
Table C t distribution critical values	655	(1)
Table D F distribution critical values	656	(4)
Table E Chi-square distribution critical values	660	(1)
Table F Critical values of the correlation r	661	(1)
Answers to Odd-Numbered Exercises	662	(23)
Index	685