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Concise Managerial Statistics (with CD-ROM and Infotrac) [Multiple-component retail product]

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  • Formaat: Multiple-component retail product, 601 pages, kõrgus x laius x paksus: 260x210x30 mm, kaal: 1343 g, Illustrations, unspecified, Contains 1 Hardback and 1 CD-ROM
  • Sari: Available Titles Cengagenow
  • Ilmumisaeg: 18-Mar-2005
  • Kirjastus: Cengage Learning
  • ISBN-10: 0324223889
  • ISBN-13: 9780324223880
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  • Multiple-component retail product
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Concise Managerial Statistics (with CD-ROM and Infotrac)Suurem pilt
  • Formaat: Multiple-component retail product, 601 pages, kõrgus x laius x paksus: 260x210x30 mm, kaal: 1343 g, Illustrations, unspecified, Contains 1 Hardback and 1 CD-ROM
  • Sari: Available Titles Cengagenow
  • Ilmumisaeg: 18-Mar-2005
  • Kirjastus: Cengage Learning
  • ISBN-10: 0324223889
  • ISBN-13: 9780324223880
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780324223880.html
Märksõnad:
This MBA textbook introduces methods for testing population means, deriving probabilities related to a random variable, analyzing categorical data, simple linear regression, and time series analysis. Instructions for performing data analysis with Excel, Minitab, and SPSS are provided in each chapter. The CD-ROM contains data sets, KPK Excel macros, and simulation exercises. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

Get the grade you need and prepare for the business world with CONCISE MANAGERIAL STATISTICS. Learn Business Statistics without the complicated math. Fully integrating the use of computers with statistics, the textbook describes the concepts and applications of business statistics and gives you an opportunity to observe and actually carry out computer-generated solutions using SPSS, Microsoft? Excel, and MINITAB. Plus, this volume comes with access to InfoTrac? College Edition! Save time, save money--and eliminate the trek to the library and long waits for reserved readings with this online university library of more than 5,000 academic and popular magazines, newspapers, and journals.

A First Look at Statistics and Data Collection
1(17)
A First Look at Statistics
2(1)
Using the Computer
3(1)
Uses of Statistics in Business
4(1)
Some Basic Definitions
4(2)
Discrete and Continuous Numerical Data
6(1)
Level of Measurement for Numerical Data
7(2)
Obtaining a Sample
9(3)
Business Research Questions in Practice
Designing and Coding a Questionnaire
Summary
12(1)
Review Exercises
12(3)
Computer Exercises Using the Databases
15(1)
Insights from Statistics in Action: Online Surveys: E-xpress Yourself
15(1)
Chapter 1 Appendix: Generating Random Numbers
16(2)
Data Presentation Using Descriptive Graphs
18(39)
Frequency Distributions
19(4)
Histograms and Stem-and-Leaf Diagrams
23(6)
Frequency Polygons
29(3)
Cumulative Frequencies (Ogives)
32(4)
Bar Charts
36(2)
Pie Charts
38(6)
Deceptive Graphs
44(13)
Summary
46(1)
Review Exercises
46(2)
Computer Exercises Using the Databases
48(1)
Insights from Statistics in Action: Lean Philosophy Drives Productivity Growth
49(1)
Chapter 2 Appendix: Data Analysis with Excel, MINITAB, and SPSS
49(8)
Data Summary Using Descriptive Measures
57(48)
Various Types of Descriptive Measures
58(1)
Measures of Central Tendency
58(7)
Measures of Variation
65(7)
Measures of Position
72(4)
Measures of Shape
76(4)
Interpreting x and s
80(4)
Box Plots
84(4)
Describing Bivariate Data
88(17)
Summary
94(2)
Review Exercises
96(2)
Computer Exercises Using the Databases
98(1)
Insights from Statistics in Action: Semiconductor Business: When the Chips Are Down
98(1)
Chapter 3 Appendix: Data Analysis with Excel, MINITAB, and SPSS
99(6)
Probability Concepts
105(35)
Events and Probability
106(1)
Basic Concepts
107(7)
Going beyond the Contingency Table
114(6)
Applying the Concepts
120(9)
Bayes' Rule Using Tree Diagrams
129(11)
Summary
133(1)
Review Exercises
134(3)
Computer Exercises Using the Databases
137(1)
Insights from Statistics in Action: Cable and DSL Connections: Wired for Speed
137(1)
Chapter 4 Appendix: Data Analysis with Excel, MINITAB, and SPSS
138(2)
Discrete Probability Distributions
140(37)
Random Variables
141(6)
Mean and Variance of Discrete Random Variables
147(4)
Binomial Distribution
151(11)
Poisson Distribution
162(15)
Summary
168(1)
Review Exercises
169(2)
Computer Exercises Using the Databases
171(1)
Insights from Statistics in Action: AACSB Accreditation: A Commitment to Excellence in Business Education
171(1)
Chapter 5 Appendix: Data Analysis with Excel, MINITAB, and SPSS
172(5)
Continuous Probability Distributions
177(40)
Continuous Random Variables
178(1)
Normal Random Variables
179(2)
Determining a Probability for a Normal Random Variable
181(1)
Finding Areas under the Standard Normal Curve
182(5)
Areas under Any Normal Curve
187(8)
Another Look at the Empirical Rule
195(1)
Using Statistical Software to Determine Areas and Values Having a Specified Area for Normal Populations
196(4)
Other Continuous Distributions
200(17)
Summary
208(1)
Review Exercises
208(4)
Computer Exercises Using the Databases
212(1)
Insights from Statistics in Action: Examining Unethical Behavior: More Fun than Decent People think Should Be Legal
212(1)
Chapter 6 Appendix: Data Analysis with Excel, MINITAB, and SPSS
213(4)
Statistical Inference and Sampling
217(37)
Random Sampling and the Distribution of the Sample Mean
218(6)
The Central Limit Theorem
224(7)
Confidence Intervals for the Mean of a Normal Population (σ Known)
231(7)
Confidence Intervals for the Mean of a Normal Population (σ Unknown)
238(5)
Determining the Necessary Sample Size
243(3)
Bootstrap Confidence Intervals
Other Sampling Procedures
Summary
246(2)
Review Exercises
248(2)
Computer Exercises Using the Databases
250(1)
Insights from Statistics in Action: Traffic Congestion Takes Its Toll
251(1)
Chapter 7 Appendix: Data Analysis with Excel, MINITAB, and SPSS
251(3)
Hypothesis Testing for the Mean of a Population
254(43)
Hypothesis Testing on the Mean of a Population (σ Known)
255(13)
One-Tailed Test for the Mean of a Population (σ Known)
268(7)
Reporting Testing Results Using a p-Value
275(7)
Hypothesis Testing on the Mean of a Normal Population (σ Unknown)
282(15)
Summary
288(1)
Review Exercises
289(3)
Computer Exercises Using the Databases
292(1)
Insights from Statistics in Action: Hillerich & Bradsby Company: Hitting the Quality Mark
293(1)
Chapter 8 Appendix: Data Analysis with Excel, MINITAB, and SPSS
293(4)
Comparing Two or More Populations
297(62)
Independent versus Dependent Samples
298(1)
Comparing Two Means Using Two Independent Samples (σ's Known)
299(11)
Comparing Two Means Using Two Independent Samples (σ's Unknown)
310(13)
Comparing the Variances of Two Normal Populations Using Independent Samples
323(9)
Comparing the Means of Two Normal Populations Using Paired Samples
332(8)
Comparing More than Two Means: One-Factor ANOVA
340(19)
Summary
347(2)
Review Exercises
349(3)
Computer Exercises Using the Databases
352(1)
Insights from Statistics in Action: Rollovers with Sport-Utility Vehicles: Assessing the Impact
353(1)
Chapter 9 Appendix: Data Analysis with Excel, MINITAB, and SPSS
354(5)
Analysis of Categorical Data
359(44)
Estimation and Confidence Intervals for a Population Proportion
360(6)
Hypothesis Testing for a Population Proportion
366(5)
Comparing Two Population Proportions (Large, Independent Samples)
371(9)
The Multinomial Situation and Testing for Independence
380(23)
Summary
392(1)
Review Exercises
393(4)
Computer Exercises Using the Databases
397(1)
Insights from Statistics in Action: Streaming Meemies: The Most Valuable Consumer Group on the Internet
397(1)
Chapter 10 Appendix: Data Analysis with Excel, MINITAB, and SPSS
398(5)
Correlation and Simple Linear Regression
403(63)
Bivariate Data and Correlation
404(9)
The Simple Linear Regression Model
413(5)
Inference on the Slope, β1
418(10)
Measuring the Strength of the Model
428(6)
Estimation and Prediction Using the Simple Linear Model
434(6)
Examining the Residuals
440(26)
Summary
454(1)
Review Exercises
455(5)
Computer Exercises Using the Databases
460(1)
Insights from Statistics in Action: Alpha Beta Soup for the Investor's Sour: Recipe Includes Regression Analysis
461(1)
Chapter 11 Appendix: Data Analysis with Excel, MINITAB, and SPSS
461(5)
Multiple Linear Regression
466(63)
The Multiple Linear Regression Model
467(7)
Hypothesis Testing and Confidence Intervals for the β Parameters
474(12)
Determining the Predictive Ability of Certain Independent Variables
486(13)
Dummy Variables and Additional Topics in Multiple Linear Regression
499(14)
Model Building
513(16)
Summary
518(2)
Review Exercises
520(5)
Computer Exercises Using the Databases
525(1)
Insights from Statistics in Action: Getting Framed Right Before Your Eyes
525(1)
Chapter 12 Appendix: Data Analysis with Excel, MINITAB, and SPSS
526(3)
Time Series Analysis and Forecasting
529
Components of a Time Series
530(7)
Measuring Trend: No Seasonality
537(8)
Measuring Cyclical Activity: No Seasonality
545(4)
Types of Seasonal Variation
549(6)
Measuring Seasonality
555(9)
A Time Series Containing Seasonality, Trend, and Cycles
564(12)
Time Series Forecasting
576(1)
Projecting the Least Squares Trend Equation
577(4)
Simple Exponential Smoothing
581(6)
Index Numbers
587
Summary
592(2)
Review Exercises
594(4)
Insights from Statistics in Action: Forecasting Underlying Economic Trends
598(1)
Chapter 13 Appendix: Data Analysis with Excel, MINITAB, and SPSS
599
Appendixes
Appendix A: Tables
2(24)
Appendix B: Answers to Odd-Numbered Exercises
26
Index 1