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Statistics for Business and Economics [Hardback]

  • Formāts: Hardback, 976 pages, height x width: 261x208 mm, weight: 1814 g, Ill.
  • Izdošanas datums: 13-Sep-1994
  • Izdevniecība: John Wiley & Sons Inc
  • ISBN-10: 0471589691
  • ISBN-13: 9780471589693
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Statistics for Business and EconomicsPalielināt
  • Formāts: Hardback, 976 pages, height x width: 261x208 mm, weight: 1814 g, Ill.
  • Izdošanas datums: 13-Sep-1994
  • Izdevniecība: John Wiley & Sons Inc
  • ISBN-10: 0471589691
  • ISBN-13: 9780471589693
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780471589693.html
Keywords:
A standard textbook for the first course in statistics for business and economics students. A major feature is the realistic content of its 211 examples and 1,336 exercises, which draw on a comprehensive range of applications from business and economics. The only prerequisite is elementary algebra. Annotation copyright Book News, Inc. Portland, Or.

This student-friendly text presents statistics in an accessible and interesting manner. The realistic content of its abundant examples and exercises draws on a comprehensive range of applications from business and economics. Clear, concise, step-by-step solutions follow problems and contain highlighted remarks which recall and reinforce concepts critical to the solution of the problem. Features numerous case studies and detailed instructions on the use of MINITAB.
Introduction
2(32)
What is Statistics?
4(1)
Types of Statistics
5(1)
Descriptive Statistics
5(1)
Freshmen's Interest in Business
6(1)
Percentage of U.S. Families Who Belong to Different Income Groups
7(1)
Inferential Statistics
7(1)
Exercises
8(1)
Population Versus Sample
8(2)
Aspirin Reduces the Risk of Heart Attack
10(1)
Aspirin: Yes, No, Maybe?
10(2)
Exercises
12(1)
Basic Terms
12(2)
Exercises
14(1)
Tyes of Variables
14(2)
Quantitative Variables
15(1)
Qualitative or Categorical Variables
16(1)
Scales of Measurement
16(2)
Exercises
18(1)
Summation Notation
19(2)
Exercises
21(1)
Glossary
22(1)
Supplementary Exercises
23(1)
Self-Review Test
24(2)
Using Minitab: An Introduction
26(6)
Computer Assignments
32(2)
Organizing Data
34(122)
Raw Data
36(1)
Organizing and Graphing Qualitative Data
36(4)
Frequency Distributions
36(2)
Relative Frequency and Percentage Distributions
38(1)
Graphical Presentation of Qualitative Data
39(1)
Record Rate of Failure
40(2)
1991 Market Shares of Sneakers
42(1)
Exercises
42(2)
Organizing and Graphing Quantitative Data
44(7)
Frequency Distributions
44(2)
Constructing Frequency Distribution Tables
46(2)
Relative Frequency and Percentage Distributions
48(1)
Graphing Grouped Data
49(2)
Few Get Big Bucks
51(4)
More on Classes and Frequency Distributions
52(3)
Shapes of Histograms
55(2)
Two Views of a One-Day, 40-Point Drop in the Dow
57(1)
Exercises
57(6)
Cumulative Frequency Distributions
63(2)
Exercises
65(1)
Stem-and-Leaf Displays
66(3)
Exercises
69(2)
Graphing Time-Series Data
71(3)
Cross-Section Versus Time-Series Data
71(1)
Graphing Time-Series Data
72(2)
What is Wrong with this Picture?
74(1)
Exercises
75(2)
Glossary
77(1)
Key Formulas
78(1)
Supplementary Exercises
78(3)
Self-Review Test
81(3)
Using Minitab
84(4)
Computer Assignments
88(4)
Numerical Descriptive Measures
Measures of Central Tendency for Ungrouped Data
92(4)
Mean
92(4)
A Look at the Averages
96(4)
Median
97(3)
Median Sale Prices of Existing Single-Family Homes for Metropolitan Areas
100(3)
Mode
101(1)
Relationship Between the Mean, Median, and Mode
102(1)
Exercises
103(5)
Measures of Dispersion for Ungrouped Data
108(6)
Range
109(1)
Variance and Standard Deviation
109(4)
Coefficient of Variation
113(1)
Population Parameter and a Sample Statistic
114(1)
Exercises
114(4)
Mean, Variance, and Standard Deviation for Grouped Data
118(5)
Mean for Grouped Data
118(3)
Variance and Standard Deviation for Grouped Data
121(2)
Exercises
123(3)
Use of Standard Deviation
126(4)
Chebyshev's Theorem
127(2)
Empirical Rule
129(1)
Exercises
130(1)
Measures of Position
131(5)
Quartiles and Interquartile Range
131(3)
Percentiles and Percentile Rank
134(2)
Exercises
136(2)
Box-and-Whisker Plot
138(2)
Exercises
140(1)
Glossary
141(1)
Key Formulas
142(1)
Supplementary Exercises
143(3)
Self-Review Test
146(4)
Using Minitab
150(2)
Computer Assignments
152(1)
More Challenging Exercises (Optional)
Chapters 1 to 3
153(3)
Probability
156(128)
Experiment, Outcomes, and Sample Space
158(4)
Simple and Compound Events
160(2)
Exercises
162(1)
Calculating Probability
163(6)
Three Conceptual Approaches to Probability
164(5)
Odds
169(1)
Probability and Odds
169(1)
Exercises
170(2)
Counting Rule
172(1)
Marginal and Conditional Probabilities
173(4)
Probabilities of Owning Homes
177(1)
Mutually Exclusive Events
178(2)
Independent Versus Dependent Events
180(1)
Complementary Events
181(2)
Exercises
183(3)
Intersection of Events and the Multiplication Rule
186(7)
Intersection of Events
186(1)
Multiplication Rule
187(6)
Baseball Players Have ``Slumps'' and ``Streaks''
193(1)
Exercises
194(3)
Union of Events and the Addition Rule
197(5)
Union of Events
197(2)
Addition Rule
199(3)
Exercises
202(3)
Bayes' Theorem
205(3)
Exercises
208(1)
Glossary
209(1)
Key Formulas
210(1)
Supplementary Exercises
211(3)
Self-Review Test
214(4)
Discrete Random Variables and Their Probability Distributions
Random Variables
218(2)
Discrete Random Variable
218(1)
Continuous Random Variable
219(1)
Exercises
220(1)
Probability Distribution of a Discrete Random Variable
220(4)
Exercises
224(3)
Mean of a Discrete Random Variable
227(2)
Cash Rich Instant Lottery
229(2)
Standard Deviation of a Discrete Random Variable
231(2)
Exercises
233(2)
Factorials and Combinations
235(4)
Factorials
235(2)
Combinations
237(2)
Playing Lotto
239(2)
The Table of Combinations
240(1)
Exercises
241(1)
The Binomial Probability Distribution
241(8)
The Binomial Experiment
242(1)
The Binomial Probability Distribution and Binomial Formula
243(6)
Missing Women
249(7)
Using the Table of Binomial Probabilities
250(4)
Probability of Success and the shape of the binomial Distribution
254(2)
Mean and Standard Deviation of the Binomial Distribution
256(1)
Exercises
256(3)
The Hypergeometric Probability Distribution
259(3)
Exercises
262(1)
The Poisson Probability Distribution
263(6)
Using the Table of Poisson Probabilities
266(2)
Mean and Standard Deviation of the Poisson Probability Distribution
268(1)
Exercises
269(2)
Glossary
271(1)
Key Formulas
271(1)
Supplementary Exercises
272(4)
Self-Review Test
276(2)
Using Minitab
278(3)
Computer Assignments
281(3)
Continuous Random Variables and Their Probability Distributions
284(74)
Continuous Probability Distribution
286(4)
Distribution of the Price-Earnings Ratios of Companies
290(2)
The Normal Distribution
292(2)
The Standard Normal Distribution
294(8)
Exercises
302(1)
Standardizing a Normal Distribution
303(6)
Exercises
309(1)
Applications of the Normal Distribution
310(4)
Exercises
314(2)
Determining the z and x Values when an area under the Normal Curve is Known
316(4)
Exercises
320(2)
The Normal Approximation to the Binomial Distribution
322(5)
Exercises
327(2)
The Uniform Probability Distribution
329(4)
Exercises
333(1)
The Exponential Probability Distribution
334(5)
Exercises
339(1)
Glossary
340(1)
Key Formulas
340(1)
Supplementary Exercises
341(4)
Self-Review Test
345(2)
Using Minitab
347(5)
Computer Assignments
352(2)
More Challenging Exercises (Optional)
Chapters 4 to 6
354(4)
Sampling Distributions
358(96)
A Sample Survey
360(1)
Is It a Simple Question?
360(1)
How to Skew a Poll: Loaded Questions and Other Tricks
361(1)
Random and Nonrandom Samples
361(1)
Selecting a Simple Random Sample
362(1)
Population and Sampling Distributions
363(3)
Population Distribution
363(1)
Sampling Distribution
364(2)
Sampling and Nonsampling Errors
366(3)
Exercises
369(1)
Mean and Standard Deviation of x
370(3)
Exercises
373(2)
Shape of the Sampling Distribution of x
375(5)
Sampling from a Normally Distributed Population
375(3)
Sampling from a Population that is not Normally Distributed
378(2)
Exercises
380(1)
Applications of the Sampling Distribution of x
381(3)
Exercises
384(1)
Population and Sample Proportions
385(2)
Mean, Standard Deviation, and Shape of the Sampling Distribution of p
387(3)
Sampling Distribution of p
387(1)
Mean and Standard Deviation of p
388(1)
Shape of the Sampling Distribution of p
389(1)
Exercises
390(2)
Applications of the Sampling Distribution of p
392(3)
Exercises
395(1)
Glossary
396(1)
Key Formulas
397(1)
Supplementary Exercises
397(3)
Self-Review Test
400(2)
Using Minitab
402(3)
Computer Assignments
405(3)
Estimation of the Mean and Proportion
Estimation: An Introduction
408(1)
Point and Interval Estimates
409(2)
A Point Estimate
409(1)
An Interval Estimate
410(1)
Interval Estimation of a Population Mean: Large Samples
411(5)
Young Families in Debt
416(1)
Exercises
417(5)
Interval Estimation of a Population Mean: Small Samples
422(5)
The t Distribution
422(3)
Confidence Interval for µ Using the t Distribution
425(2)
Exercises
427(2)
Interval Estimation of a Population Proportion: Large Samples
429(3)
Ask Mr. Statistics
432(1)
Exercises
433(3)
Sample Size Determination for the Estimation of Mean
436(2)
Exercises
438(1)
Sample Size Determination for the Estimation of Proportion
438(2)
Exercises
440(1)
Glossary
441(1)
Key Formulas
441(1)
Supplementary Exercises
442(3)
Appendix 8.1 Rationale Behind the Confidence Interval Formula for µ
445(1)
Self-Review Test
446(2)
Using Minitab
448(3)
Computer Assignments
451(3)
Hypothesis Tests About the Mean and Proportion
454(66)
Hypothesis Tests: An Introduction
456(8)
Two Hypotheses
456(1)
Rejection and Nonrejection Regions
457(1)
Two Types of Errors
458(2)
Tails of a Test
460(4)
Exercises
464(1)
Hypothesis Tests About a Population Mean: Large Samples
465(6)
Exercises
471(3)
Calculating the Probability of a Type II Error
474(5)
Exercises
479(1)
Hypothesis Tests Using the p-Value Approach
480(4)
Exercises
484(2)
Hypothesis tests About a Population Mean: Small Samples
486(5)
Exercises
491(3)
Hypothesis Tests About a Population Proportion: Large Samples
494(5)
Exercises
499(3)
Glossary
502(1)
Key Formulas
503(1)
Supplementary Exercises
503(4)
Self-Review Test
507(3)
Using Minitab
510(4)
Computer Assignments
514(2)
More Challenging Exercises (Optional)
Chapters 7 to 9
516(4)
Estimation and Hypothesis Testing: Two Populations
520(58)
Inferences about the Difference Between two Population Means for Large and Independent Samples
522(8)
Independent Versus Dependent Samples
522(1)
The Mean, Standard Deviation, and Sampling Distribution of X1-X2
523(1)
Interval Estimation of µ1 -- µ2
524(2)
Hypothesis Testing about µ1 -- µ2
526(4)
Inferences made by the Bureau of the Census
530(1)
Exercises
531(2)
Inferences about the Difference Between two Population Means for small and Independent Samples: Equal Standard Deviations
533(7)
Interval Estimation of µ1 -- µ2
535(2)
Hypothesis Testing About µ1 -- µ2
537(3)
Exercises
540(3)
Inferences About the Difference Between two Population Means for Paired Samples
543(8)
Interval Estimation of µd
545(2)
Hypothesis Testing About µd
547(4)
Exercises
551(2)
Inferences about the Difference Between two Population Proportions for Large and Independent Samples
553(6)
The Mean, Standard Deviation, and Sampling Distribution of P1--P2
554(1)
Interval Estimation of p1 -- p2
554(1)
Hypothesis Testing about p1 -- p2
555(4)
More on the Inferences Made by the Bureau of the Census
559(1)
Exercises
560(2)
Glossary
562(1)
Key Formulas
563(1)
Supplementary Exercises
564(3)
Self-Review Test
567(2)
Using Minitab
569(6)
Computer Assignments
575(3)
Chi-Square Tests
578(48)
The Chi-Square Distribution
580(2)
Exercises
582(1)
A Goodness-of-Fit Test
583(6)
Are Leadership Styles Evenly Distributed?
589(2)
Exercises
591(2)
Contingency Tables
593(1)
A Test of Independence or Homogeneity
593(9)
A Test of Independence
593(6)
A Test of Homogeneity
599(3)
Exercises
602(3)
Inferences about the Population Variance
605(6)
Estimation of the Population Variance
606(2)
Hypothesis Tests About the Population Variance
608(3)
Exercises
611(1)
Glossary
612(1)
Key Formulas
613(1)
Supplementary Exercises
614(4)
Self-Review Test
618(2)
Using Minitab
620(3)
Computer Assignments
623(3)
Analysis of Variance
626(30)
The F Distribution
628(2)
Exercises
630(1)
One-Way Analysis of Variance
630(10)
Calculating the Value of the Test Statistic
632(3)
One-Way Anova Test
635(5)
Exercises
640(4)
Glossary
644(1)
Key Formulas
644(1)
Supplementary Exercises
645(2)
Self-Review Test
647(2)
Using Minitab
649(2)
Computer Assignments
651(1)
More Challenging Exercises (Optional)
Chapters 10 to 12
652(4)
Simple Linear Regression
656(66)
The Simple Linear Regression Model
658(2)
Simple Regression
658(1)
Linear Regression
658(2)
The Simple Linear Regression Analysis
660(10)
Scatter Diagram
662(1)
Least Squares Line
663(4)
Interpretation of a and b
667(1)
Assumptions of the Regression Model
668(2)
A Note on the use of Simple Linear Regression
670(1)
Exercises
670(4)
The Standard Deviation of Random Errors
674(2)
The Coefficient of Determination
676(3)
Exercises
679(3)
Inferences about B
682(3)
Sampling Distribution of b
682(1)
Estimation of B
682(1)
Hypothesis Testing about B
683(2)
Exercises
685(2)
Linear Correlation
687(3)
Exercises
690(3)
Regression Analysis: A Complete Example
693(3)
Exercises
696(3)
Using the Regression Model
699(4)
Using the Regression Model for Estimating the Mean Value of y
699(2)
Using the Regression Model for Predicting a Particular Value of y
701(2)
Cautions in Using Regression
703(1)
Exercises
704(1)
Glossary
705(1)
Key Formulas
706(1)
Supplementary Exercises
707(4)
Self-Review Test
711(3)
Using Minitab
714(5)
Computer Assignments
719(3)
Multiple Regression
722(46)
Multiple Regression Analysis
724(2)
Assumptions of the Multiple Regression Model
726(1)
Standard Deviation of Errors
727(1)
Coefficient of Multiple Determination
727(1)
Computer Solution of Multiple Regression
728(12)
Estimated Multiple Regression Model
730(2)
Confidence Interval for Individual Coefficients
732(2)
Test of Hypothesis About Individual Coefficients
734(3)
Testing for the Overall Significance of the Multiple Regression Model
737(3)
Correlation Coefficients
740(2)
Exercises
742(5)
Dummy Variables in the Regression Model
747(7)
Exercises
754(5)
Glossary
759(1)
Key Formulas
760(1)
Supplementary Exercises
761(4)
Self-Review Test
765(3)
Time Series Analysis
768(41)
Components of a Time Series
770(3)
Additive and Multiplicative Time Series Models
773(2)
Exercises
775(1)
Measuring Linear Trend: Regression Method
776(3)
Measuring the Cyclical Effects: Annual Data
779(2)
Exercises
781(4)
Measuring the Seasonal Effects
785(9)
Exercises
794(2)
Glossary
796(1)
Key Formulas
796(1)
Supplementary Exercises
797(4)
Self-Review Test
801(3)
Using Minitab
804(1)
Computer Assignments
805(1)
More Challenging Exercises (Optional)
Chapters 13 to 15
806(3)
Appendix A DATA SETS 809(13)
Data Set I Information on a Sample of 50 U.S. Companies Selected from the Business Week 1000
810(2)
Data Set II City Data
812(6)
Data Set III Sample of 200 Observations Selected from the 1990--91 Interview Survey Conducted by the U.S. Bureau of Labor
818(4)
Appendix B STATISTICAL TABLES 822(30)
Table I Random Numbers
823(4)
Table II Factorials
827(1)
Table III Values of (Combination)
828(1)
Table IV Table of Binomial Probabilities
829(8)
Table V Values of e-λ
837(1)
Table VI Table of Poisson Probabilities
838(6)
Table VII Standard Normal Distribution Table
844(1)
Table VIII The t Distribution Table
845(2)
Table IX Chi-Square Distribution Table
847(1)
Table X The F Distribution Table
848(4)
Answers to Odd-Numbered Exercises and Self-Review Tests 852(19)
Index 871