Elementary Statistics

Name: Elementary Statistics
Price: 5.71 USD
Availability: InStock
ISBN: 9780072316940

ISBN-10: 0072316942

ISBN-13: 9780072316940

Edition: 4th 2001

Authors: Allan G. Bluman

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Description:

New edition of a beginning statistics text for students whose mathematical background is limited to basic algebra. Bluman (Community College of Allegheny County) uses a nontheoretical approach in which concepts are explained intuitively and are supported by examples. There are no formal proofs, and the applications include problems from business, economics, health, medicine, science, engineering, social science, education, and topics of general interest. Each of the eight chapters begins with an outline and a list of learning objectives. Contains a removable foldout of important formulas. Annotation copyrighted by Book News, Inc., Portland, OR

Book details

Edition: 4th
Copyright year: 2001
Publisher: McGraw-Hill Companies, The
Binding: Hardcover
Size: 8.00" wide x 10.00" long x 1.25" tall
Weight: 3.542
Language: English

Allan G. Bluman is Professor of Mathematics at Community College of Allegheny County, near Pittsburgh. For the McKeesport and New Kensington Campuses of Pennsylvania State University, he has taught teacher-certification and graduate education statistics courses. Prior to his college teaching, he taught mathematics at a junior high school. Professor Bluman received his B.S. from California State College in California, Penn.; his M.Ed. from the University of Pittsburgh; and, in 1971, his Ed.D., also from the University of Pittsburgh. His major field of study was mathematics education. In addition to Elementary Statistics: A Step by Step Approach, Third Edition, and Elementary Statistics: A…

Preface
The Nature of Probability and Statistics	p. 1
Statistics Today: Are We Improving Our Diet?	p. 2
Introduction	p. 2
Speaking of Statistics: The Perfect Burger	p. 4
Descriptive and Inferential Statistics	p. 4
Speaking of Statistics: Super Snack Stats	p. 5
Speaking of Statistics: Risks in the Home	p. 6
Variables and Types of Data	p. 7
Speaking of Statistics: Height Fright Not Right	p. 8
Data Collection and Sampling Techniques	p. 10
Random Sampling	p. 11
Systematic Sampling	p. 11
Speaking of Statistics: Surviving Bad Days at Work	p. 12
Stratified Sampling	p. 12
Cluster Sampling	p. 12
Speaking of Statistics: How Often Does Your Family Eat Dinner at Home Together?	p. 13
Speaking of Statistics: Shake and Wake	p. 14
Other Sampling Methods	p. 14
Observational and Experimental Studies	p. 15
Computers and Calculators	p. 17
Technology Step by Step	p. 17
Summary	p. 22
Frequency Distributions and Graphs	p. 30
Statistics Today: Are We Flying More?	p. 31
Introduction	p. 32
Organizing Data	p. 32
Categorical Frequency Distributions	p. 33
Grouped Frequency Distributions	p. 34
Technology Step by Step	p. 43
Histograms, Frequency Polygons, and Ogives	p. 44
The Histogram	p. 45
The Frequency Polygon	p. 47
The Ogive	p. 48
Relative Frequency Graphs	p. 50
Technology Step by Step	p. 55
Other Types of Graphs	p. 58
Pareto Charts	p. 58
The Time Series Graph	p. 60
Speaking of Statistics: Pennsylvania Coal Production	p. 61
The Pie Graph	p. 62
Misleading Graphs	p. 65
Speaking of Statistics: Costliest Big Cities for Driving	p. 69
Technology Step by Step	p. 71
Speaking of Statistics: Budget Deficit Drops	p. 72
Summary	p. 73
Data Description	p. 80
Statistics Today: Who Is a Typical First-Time Home Buyer?	p. 81
Introduction	p. 81
Measures of Central Tendency	p. 82
The Mean	p. 83
Speaking of Statistics: Big Spenders	p. 85
The Median	p. 86
The Mode	p. 89
Speaking of Statistics: Leave the Driving to...	p. 91
The Midrange	p. 91
The Weighted Mean	p. 92
Distribution Shapes	p. 94
Measures of Variation	p. 99
Range	p. 100
Variance and Standard Deviation	p. 101
The Unbiased Estimator	p. 104
Variance and Standard Deviation for Grouped Data	p. 105
Coefficient of Variation	p. 108
Chebyshev's Theorem	p. 109
The Empirical (Normal) Rule	p. 111
Measures of Postion	p. 115
Standard Scores	p. 115
Percentiles	p. 116
Quartiles and Deciles	p. 123
Outliers	p. 124
Technology Step by Step	p. 127
Exploratory Data Analysis	p. 130
Stem and Leaf Plots	p. 130
Boxplots	p. 133
Technology Step by Step	p. 137
Summary	p. 140
Counting Techniques	p. 149
Statistics Today: Why Are We Running Out of 800 Numbers?	p. 150
Introduction	p. 151
Tree Diagrams and the Multiplication Rule for Counting	p. 151
The Multiplication Rule for Counting	p. 153
Permutations and Combinations	p. 156
Factorial Level Notation	p. 156
Permutations	p. 156
Combinations	p. 158
Summary	p. 162
Probability	p. 166
Statistics Today: Would You Bet Your Life?	p. 167
Introduction	p. 168
Sample Spaces and Probability	p. 168
Basic Concepts	p. 168
Classical Probability	p. 171
Complementary Events	p. 174
Empirical Probability	p. 175
Law of Large Numbers	p. 177
Subjective Probability	p. 178
Probability and Risk Taking	p. 178
The Addition Rules for Probability	p. 181
Speaking of Statistics: CEO Profile	p. 182
The Multiplication Rules and Conditional Probability	p. 188
The Multiplication Rules	p. 188
Conditional Probability	p. 193
Probabilities for "At Least"	p. 195
Probability and Counting Techniques (Optional)	p. 199
Summary	p. 202
Discrete Probability Distributions	p. 209
Statistics Today: Are the Rockets Hitting the Targets?	p. 210
Introduction	p. 210
Probability Distributions	p. 211
Mean, Variance, and Expectation	p. 215
Mean	p. 215
Variance	p. 218
Expectation	p. 220
The Binomial Distribution	p. 224
Technology Step by Step	p. 232
Other Types of Distributions (Optional)	p. 234
The Multinomial Distribution	p. 234
The Poisson Distribution	p. 235
The Hypergeometric Distribution	p. 237
Summary	p. 241
The Normal Distribution	p. 247
Statistics Today: What Is Normal?	p. 248
Introduction	p. 248
Properties of the Normal Distribution	p. 250
The Standard Normal Distribution	p. 251
Finding Areas under the Standard Normal Distribution Curve	p. 253
The Normal Distribution Curve as a Probability Distribution Curve	p. 260
Applications of the Normal Distribution	p. 264
Finding Data Values Given Specific Probabilities	p. 268
Technology Step by Step	p. 273
The Central Limit Theorem	p. 274
Distribution of Sample Means	p. 275
Finite Population Correction Factor (Optional)	p. 281
The Normal Approximation to the Binomial Distribution	p. 284
Summary	p. 290
Confidence Intervals and Sample Size	p. 296
Statistics Today: Would You Change the Channel?	p. 297
Introduction	p. 298
Confidence Intervals for the Mean ([sigma] Known or n [greater than or equal] 30) and Sample Size	p. 299
Confidence Intervals	p. 299
Sample Size	p. 305
Technology Step by Step	p. 309
Confidence Intervals for the Mean ([sigma] Unknown and n [ 30)	p. 311
Technology Step by Step	p. 316
Confidence Intervals and Sample Size for Proportions	p. 318
Confidence Intervals	p. 319
Sample Size for Proportions	p. 320
Technology Step by Step	p. 323
Confidence Intervals for Variances and Standard Deviations	p. 325
Summary	p. 329
Hypothesis Testing	p. 335
Statistics Today: How Much Better Is Better?	p. 336
Introduction	p. 337
Steps in Hypothesis Testing--Traditional Method	p. 337
z Test for a Mean	p. 349
Speaking of Statistics: Stick Margarine May Boost Risk of Heart Attacks	p. 350
P-Value Method for Hypothesis Testing	p. 354
Technology Step by Step	p. 361
t Test for a Mean	p. 363
Technology Step by Step	p. 371
z Test for a Proportion	p. 372
Technology Step by Step	p. 377
x[superscript 2] Test for a Variance or Standard Deviation	p. 378
Technology Step by Step	p. 386
Additional Topics Regarding Hypothesis Testing	p. 387
Confidence Intervals and Hypothesis Testing	p. 387
Type II Error and the Power of a Test	p. 388
Summary	p. 391
Testing the Difference between Two Means, Two Variances, and Two Proportions	p. 398
Statistics Today: To Vaccinate or Not to Vaccinate? Small or Large?	p. 399
Introduction	p. 399
Testing the Difference between Two Means: Large Samples	p. 400
Technology Step by Step	p. 408
Testing the Difference between Two Variances	p. 412
Technology Step by Step	p. 420
Testing the Difference between Two Means: Small Independent Samples	p. 424
Technology Step by Step	p. 429
Testing the Difference between Two Means: Small Dependent Samples	p. 433
Speaking of Statistics: Public School Teachers Show Bias for Boys	p. 434
Speaking of Statistics: Pedaling a Solution for Couch-Potato Kids	p. 442
Technology Step by Step	p. 443
Testing the Difference between Proportions	p. 446
Technology Step by Step	p. 451
Summary	p. 453
Hypothesis-Testing Summary 1	p. 460
Correlation and Regression	p. 462
Statistics Today: Do Dust Storms Affect Respiratory Health?	p. 463
Introduction	p. 463
Scatter Plots	p. 464
Correlation	p. 468
Correlation Coefficient	p. 468
The Significance of the Correlation Coefficient	p. 471
Correlation and Causation	p. 474
Speaking of Statistics: Coffee Not Disease Culprit, Study Says	p. 476
Regression	p. 478
Line of Best Fit	p. 478
Determination of the Regression Line Equation	p. 479
Technology Step by Step	p. 485
Coefficient of Determination and Standard Error of Estimate	p. 490
Types of Variation for the Regression Model	p. 490
Coefficient of Determination	p. 492
Standard Error of Estimate	p. 492
Prediction Interval	p. 495
Multiple Regression (Optional)	p. 497
Speaking of Statistics: Computer Use Declines as Girls Age	p. 498
The Multiple Regression Equation	p. 499
Testing the Significance of R	p. 500
Adjusted R[superscript 2]	p. 501
Technology Step by Step	p. 503
Summary	p. 504
Other Chi-Square Tests	p. 510
Statistics Today: Statistics and Heredity	p. 511
Introduction	p. 511
Test for Goodness of Fit	p. 512
Test of Normality (Optional)	p. 517
Technology Step by Step	p. 521
Tests Using Contingency Tables	p. 523
Test for Independence	p. 523
Test for Homogeneity of Proportions	p. 528
Speaking of Statistics: Ignoring Commercials	p. 531
Speaking of Statistics: At Least They're Checking for Radon	p. 532
Technology Step by Step	p. 535
Summary	p. 537
Analysis of Variance	p. 543
Statistics Today: Is Seeing Really Believing?	p. 544
Introduction	p. 544
One-Way Analysis of Variance	p. 545
Technology Step by Step	p. 551
The Scheffe Test and the Tukey Test	p. 554
Scheffe Test	p. 554
Speaking of Statistics: Coffee Doesn't Increase Risk of Heart Disease	p. 555
Tukey Test	p. 556
Two-Way Analysis of Variance	p. 560
Technology Step by Step	p. 571
Summary	p. 574
Hypothesis-Testing Summary 2	p. 580
Nonparametric Statistics	p. 582
Statistics Today: Too Much or Too Little?	p. 583
Introduction	p. 583
Advantages and Disadvantages of Nonparametric Methods	p. 584
Advantages	p. 584
Disadvantages	p. 584
Ranking	p. 585
Speaking of Statistics: New Hampshire, Exemplary State of Health	p. 586
The Sign Test	p. 586
Single-Sample Sign Test	p. 586
Paired-Sample Sign Test	p. 589
Technology Step by Step	p. 593
The Wilcoxon Rank Sum Test	p. 594
Technology Step by Step	p. 598
The Wilcoxon Signed-Rank Test	p. 599
Speaking of Statistics: Changes in Police Force Size	p. 603
Speaking of Statistics: Lacrosse by the Numbers	p. 604
Technology Step by Step	p. 604
The Kruskal-Wallis Test	p. 605
Technology Step by Step	p. 610
The Spearman Rank Correlation Coefficient and the Runs Test	p. 610
Rank Correlation Coefficient	p. 611
Speaking of Statistics: Stock Permits	p. 613
The Runs Test	p. 614
Technology Step by Step	p. 620
Summary	p. 620
Speaking of Statistics: Pessimism Linked to Early Death	p. 621
Hypothesis-Testing Summary 3	p. 627
Sampling and Simulation	p. 629
Statistics Today: No Room in the Van?	p. 630
Introduction	p. 630
Common Sampling Techniques	p. 631
Random Sampling	p. 631
Speaking of Statistics: Odds Stacked against Lefties	p. 633
Systematic Sampling	p. 636
Stratified Sampling	p. 637
Cluster Sampling	p. 639
Other Types of Sampling Techniques	p. 640
Speaking of Statistics: Help, I've Failed and I Can't Get Up	p. 641
Technology Step by Step	p. 643
Surveys and Questionnaire Design	p. 645
Simulation Techniques	p. 647
The Monte Carlo Method	p. 648
Summary	p. 653
Algebra Review	p. 658
Writing the Research Report	p. 663
Bayes's Theorem	p. 664
Tables	p. 668
Data Bank	p. 697
Glossary	p. 705
Bibliography	p. 711
Photo Credits	p. 713
Selected Answers	p. 714
Index
Instructor's Section: Instructor's Edition Only	p. 761
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