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# A First Course in Statistics

by ;
Edition:
7th
ISBN13:

ISBN10:
0130141577
Format:
Hardcover
Pub. Date:
12/1/1999
Publisher(s):
Prentice Hall

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## Summary

For a one-semester, general education Introductory Statistics course. Drawing students in with its reality-based approach and practicality, this popular text offers a balanced and enlightening examination of the theory and application of statistics. Helping to hone important critical thinking skills, it teaches students how to analyze data that appear in situations in the world around them and bases a majority of its examples and exercises on current, real-world applications pulled from journals, magazines, news articles, and commerce.

Preface x
 Statistics, Data, and Statistical Thinking
1(18)
 The Science of Statistics
2(1)
 Types of Statistical Applications
2(2)
 Fundamental Elements of Statistics
4(4)
 Types of Data
8(2)
 Collecting Data
10(2)
 The Role of Statistics in Critical Thinking
12(7)
 Quick Review
13(1)
 Statistics in Action: A ``20/20'' View of Survey Results: Fact or Fiction?
14(5)
 Methods for Describing Sets of Data
19(80)
 Describing Qualitative Data
20(7)
 Graphical Methods for Describing Quantitative Data
27(12)
 Summation Notation
39(1)
 Numerical Measures of Central Tendency
40(10)
 Numerical Measures of Variability
50(6)
 Interpreting the Standard Deviation
56(8)
 Numerical Measures of Relative Standing
64(4)
 Methods for Detecting Outliers (Optional)
68(10)
 Graphing Bivariate Relationships (Optional)
78(5)
 Distorting the Truth with Descriptive Techniques
83(16)
 Quick Review
88
 Statistics in Action: The ``Eye Cue'' Test: Does Experience Improve Performance?
87(12)
 Probability
99(52)
 Events, Sample Spaces, and Probability
100(11)
 Unions and Intersections
111(4)
 Complementary Events
115(1)
 The Additive Rule and Mutually Exclusive Events
116(5)
 Conditional Probability
121(6)
 The Multiplicative Rule and Independent Events
127(11)
 Random Sampling
138(13)
 Quick Review
143(1)
 Statistics in Action: Game Show Strategy: To Switch or Not to Switch?
144(7)
 Random Variables and Probability Distributions
151(74)
 Two Types of Random Variables
152(3)
 Probability Distributions for Discrete Random Variables
155(10)
 The Binomial Distribution
165(13)
 Probability Distributions for Continuous Random Variables
178(1)
 The Normal Distribution
179(13)
 Descriptive Methods for Assessing Normality
192(6)
 Approximating a Binomial Distribution with a Normal Distribution (Optional)
198(7)
 Sampling Distributions
205(6)
 The Central Limit Theorem
211(14)
 Quick Review
219(1)
 Statistics in Action: The Insomnia Pill
219(6)
 Inferences Based on a Single Sample: Estimation with Confidence Intervals
225(42)
 Large-Sample Confidence Interval for a Population Mean
226(8)
 Small-Sample Confidence Interval for a Population Mean
234(11)
 Large-Sample Confidence Interval for a Population Proportion
245(7)
 Determining the Sample Size
252(15)
 Quick Review
259
 Statistics in Action: Scallops, Sampling, and the Law
256(11)
 Inferences Based on a Single Sample: Tests of Hypothesis
267(46)
 The Elements of a Test of Hypothesis
268(6)
 Large-Sample Test of Hypothesis About a Population Mean
274(6)
 Observed Significance Levels: p-Values
280(7)
 Small-Sample Test of Hypothesis About a Population Mean
287(6)
 Large-Sample Test of Hypothesis About a Population Proportion
293(6)
 A Nonparametric Test About a Population Median (Optional)
299(14)
 Quick Review
306
 Statistics in Action: March Madness: Handicapping the NCAA Basketball Tourney
305(8)
 Comparing Population Means
313(70)
 Comparing Two Population Means: Independent Sampling
314(15)
 Comparing Two Population Means: Paired Difference Experiments
329(11)
 Determining the Sample Size
340(4)
 A Nonparametric Test for Comparing Two Populations: Independent Sampling (Optional)
344(7)
 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiments (Optional)
351(7)
 Comparing Three or More Population Means: Analysis of Variance (Optional)
358(25)
 Quick Review
373(1)
 Statistics in Action: On the Trail of the Cockroach
374(9)
 Comparing Population Proportions
383(40)
 Comparing Two Population Proportions: Independent Sampling
384(7)
 Determining the Sample Size
391(2)
 Comparing Population Proportions: Multinomial Experiment
393(7)
 Contingency Table Analysis
400(23)
 Quick Review
414(1)
 Statistics in Action: The Level of Agreement Among Movie Reviewers: Thumbs Up or Thumbs Down?
415(8)
 Simple Linear Regression
423(78)
 Probabilistic Models
424(4)
 Fitting the Model: The Least Squares Approach
428(13)
 Model Assumptions
441(1)
 An Estimator of σ2
442(4)
 Assessing the Utility of the Model: Making Inferences About the Slope β1
446(9)
 The Coefficient of Correlation
455(3)
 The Coefficient of Determination
458(7)
 Using the Model for Estimation and Prediction
465(10)
 Simple Linear Regression: A Complete Example
475(4)
 A Nonparametric Test for Correlation (Optional)
479(22)
 Quick Review
489
 Statistics in Action: Can ``Dowsers'' Really Detect Water?
487(14)
Appendix A: Tables 501(23)
Appendix B: Data Sets 524(6)
Appendix C: Calculation Formulas for Analysis of Variance: Independent Sampling 530(1)
Answers to Selected Exercises 531(6)
Index 537

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