Statistics for business and economics / 10th ed.
副标题：无
作 者：James T. McClave, P. George Benson, Terry Sincich.
分类号：
ISBN：9780132069731
微信扫一扫,移动浏览光盘
简介
For a one- or two-term course in business statistics.This best-selling introduction stresses the development of statistical thinking the assessment of credibility and value of the inferences made from data by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra.The text incorporates the following American Statistical Association (ASA) guidelines developed from both the Making Statistics More Effective in Schools of Business (MSMESB) conferences and Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project: Students are most effectively motivated by seeing statistics at work in real applications, problems, cases, and projects. Students should be provided with the opportunity to work with real data and make use of technology for statistical computations. Formal training in probability needs to be downplayed in favor of intuitive concepts of probability. We need to reduce our emphasis on formal theory of statistics and increase emphasis on applications. Datasets and other resources (where applicable) for this book are available here .
目录
Statistics, Data, and Statistical Thinking
The Science of Statistics
Types of Statistical Applications
Fundamental Elements of Statistics
Processes (Optional)
Types of Data
Collecting Data
The Role of Statistics in Managerial Decision-Making
Statistics in Action: A "20/20" View of Survey Results - Fact or Fiction?
Using Technology: Creating and Listing Data in SPSS, MINITAB, and EXCEL
Methods for Describing Sets of Data
Describing Qualitative Data
Graphical Methods for Describing Quantitative Data
Summation Notation
Numerical Measures of Central Tendency
Numerical Measures of Variability
Interpreting the Standard Deviation
Numerical Measures of Relative Standing
Methods for Detecting Outliers (Optional)
Graphing Bivariate Relationships (Optional)
The Time Series Plot (Optional)
Distorting the Truth with Descriptive Techniques
Statistics In Action: Characteristics of Physicians who Use or Refuse Ethics Consultation
Using Technology: Describing Data using SPSS, MINITAB, and EXCEL/PHStat 2
Applying Statistics to the Real World: The Kentucky Milk Case C
(A Case Covering Chapters 1 and 2)
Probability
Events, Sample Spaces, and Probability
Unions and Intersections
Complementary Events
The Additive Rule and Mutually Exclusive Events
Conditional Probability
The Multiplicative Rule and Independent Events
Random Sampling
Bayes Rule (Optional)
Statistics In Action: Lottery Buster!
Using Technology: Generating a Random Sample Using SPSS, MINITAB, and EXCEL/PHStat2
Random Variables and Probability Distributions
Two Types of Random Variables
Probability Distributions for Discrete Random Variables
The Binomial Random Variable
The Poisson Random Variable (Optional)
Probability Distributions for Continuous Random Variables
The Uniform Distribution (Optional)
The Normal Distribution
Descriptive Methods for Assessing Normality
Approximating a Binomial Distribution with a Normal Distribution (Optional)
Sampling Distributions
The Sampling Distribution of and the Central Limit Theorem
Statistics in Action: Super Weapons Development - Optimizing the Hit Ratio
Using Technology: Binomial Probabilities, Normal Probabilities, and Simulated Sampling Distributions using SPSS, MINITAB, and EXCEL/PHStat2
Applying Statistics to the Real World: The Furniture Fire Case (A Case Covering Chapters 3-4)
Inferences Based on a Single Sample: Estimation with Confidence Intervals
Identifying the Target Parameter
Large-Sample Confidence Interval for a Population Mean
Small-Sample Confidence Interval for a Population Mean
Large-Sample Confidence Interval for a Population Proportion
Determining the Sample Size
Finite Population Correction for Simple Random Sampling (Optional)
Sample survey Designs (Optional)
Statistics in Action: Scallops, Sampling, and the Law
Using Technology: Confidence Intervals using SPSS, MINITAB and EXCEL/PHStat2
Inferences Based on a Single Sample: Tests of Hypothesis
The Elements of a Test of Hypothesis
Large-Sample Test of Hypothesis About a Population Mean
Observed Significance Levels: p-Values
Small-Sample Test of Hypothesis About a Population Mean
Large-Sample Test of Hypothesis About a Population Proportion
Calculating Type II Error Probabilities: More About 脽 (Optional)
Test of Hypothesis About a Population Variance (Optional)
Statistics in Action: Diary of a Kleenex User
Using Technology: Tests of Hypotheses using SPSS, MINITAB and EXCEL/PHStat2
Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
Identifying the Target Parameter
Comparing Two Population Means: Independent Sampling
Comparing Two Population Means: Paired Difference Experiments
Comparing Two Population Proportions: Independent Sampling
Determining the Sample Size
Comparing Two Population Variances: Independent Sampling
Statistics in Action: The Effect of Self-Managed Work Teams on Family Life
Using Technology: Two-Sample Inferences using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: The Kentucky Milk Case C
(A Case Covering Chapters 7-9)
Analysis of Variance: Comparing More the Two Means
Elements of a Designed Experiment
The Completely Randomized Design
Multiple Comparisons of Means
The Randomized Block Design (Optional)
Factorial Experiments
Statistics in Action: The Ethics of Downsizing
Using Technology: Analysis of Variance using SPSS, MINITAB and EXCEL/PHStat2
The Chi-Square Test and the Analysis of Contingency Tables
Categorical Data and the Multinomial Distribution
Testing Category Probabilities: One-Way Table
Testing Category Probabilities: Two-Way (Contingency) Table
A Word of Caution About Chi-Square Tests
Statistics in Action: A Study of Coupon Users - Mail versus the Internet
Using Technology: Chi-Square Analyses using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: Discrimination In The Workplace (A Case Covering Chapters 8-9)
Simple Linear Regression
Probabilistic Models
Fitting the Model: The Least Squares Approach
Model Assumptions
An Estimator of 驴2
Making Inferences About the Slope 脽1
The Coefficient of Correlation
The Coefficient of Determination
Using the Model for Estimation and Prediction
A Complete Example
Statistics in Action: An MBA's Work-Life Balance
Using Technology: Simple Linear Regression using SPSS, MINITAB and EXCEL/PHStat2
Multiple Regression and ModelBuilding
Multiple Regression Models
The First-Order Model: Estimating and Interpreting the 脽-Parameters
Inferences About the Individual 脽
Parameters and the Overall Model Utility
Using the Model for Estimation and Prediction
Model Building: Interaction Models
Model Building: Quadratic and other Higher-Order Models
Model Building: Qualitative (Dummy) Variable Models
Model Building: Models with both Quantitative and Qualitative Variables (Optional)
Model Building: Comparing Nested Models (Optional)
Model Building: Stepwise Regression (Optional)
Residual Analysis: Checking the Regression Assumptions
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation
Statistics in Action: Bid-Rigging in the Highway construction Industry
Using Technology: Multiple Regression using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: The Condo Sales Case (A Case Covering Chapters 10-11)
Methods for Quality Improvement
Quality, Processes, and Systems
Statistical Control
The Logic of Control Charts
A Control Chart for Monitoring the Mean of a Process: The -Chart
A Control Chart for Monitoring the Variation of a Process: The R-Chart
A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart
Diagnosing the Causes of Variation (Optional)
Capability Analysis (Optional)
Statistics in Action: Testing Jet Fuel Additive for Safety
Using Technology: Control Charts using SPSS, MINITAB and EXCEL/PHStat2
Time Series: Descriptive Analyses, Models, and Forecasting (Available on CD)
Descriptive Analysis: Index Numbers
Descriptive Analysis: Exponential Smoothing
Time Series Components
Forecasting: Exponential Smoothing
Forecasting Trends: The Holt-Winters Model (Optional)
Measuring Forecast Accuracy: MAD and RMSE
Forecasting Trends: Simple Linear Regression
Seasonal Regression Models
Autocorrelation and the Durbin-Watson Test
Statistics In Action: Forecasting the Monthly Sales of a New Cold Medicine
Using Technology: Forecasting using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: The Gasket Manufacturing Case (A Case Covering Chapters 12-13)
Nonparametric Statistics (available on CD)
Single Population Inferences
Comparing Two Populations: Independent Samples
Comparing Two Populations: Paired Difference Experiment
Comparing Three or More Populations: Completely Randomized Design
Comparing Three or More Populations: Randomized Block Design (Optional)
Rank Correlation
Statistics in Action: Deadly Exposure - Agent Orange and Vietnam Vets
Using Technology: Nonparametric Analyses using SPSS, MINITAB and EXCEL/PHStat2
Basic Counting Rules
Tables
Random Numbers
Binomial Probabilities
Poisson Probabilities
Normal Curve Areas
Critical Values of t
Critical Values of 驴2
Percentage Points of the F Distribution, 驴= 10
Percentage Points of the F Distribution, 驴= 05
Percentage Points of the F Distribution, 驴= 025
Percentage Points of the F Distribution, 驴= 01
Critical Values of TLand TUfor the Wilcoxon Rank Sum Test: Independent Samples
Critical Values of T0in the Wilcoxon Paired Difference Signed Rank Test
Critical Values of Spearman's Rank Correlation Coefficient
Calculation Formulas for Analysis of Variance
The Science of Statistics
Types of Statistical Applications
Fundamental Elements of Statistics
Processes (Optional)
Types of Data
Collecting Data
The Role of Statistics in Managerial Decision-Making
Statistics in Action: A "20/20" View of Survey Results - Fact or Fiction?
Using Technology: Creating and Listing Data in SPSS, MINITAB, and EXCEL
Methods for Describing Sets of Data
Describing Qualitative Data
Graphical Methods for Describing Quantitative Data
Summation Notation
Numerical Measures of Central Tendency
Numerical Measures of Variability
Interpreting the Standard Deviation
Numerical Measures of Relative Standing
Methods for Detecting Outliers (Optional)
Graphing Bivariate Relationships (Optional)
The Time Series Plot (Optional)
Distorting the Truth with Descriptive Techniques
Statistics In Action: Characteristics of Physicians who Use or Refuse Ethics Consultation
Using Technology: Describing Data using SPSS, MINITAB, and EXCEL/PHStat 2
Applying Statistics to the Real World: The Kentucky Milk Case C
(A Case Covering Chapters 1 and 2)
Probability
Events, Sample Spaces, and Probability
Unions and Intersections
Complementary Events
The Additive Rule and Mutually Exclusive Events
Conditional Probability
The Multiplicative Rule and Independent Events
Random Sampling
Bayes Rule (Optional)
Statistics In Action: Lottery Buster!
Using Technology: Generating a Random Sample Using SPSS, MINITAB, and EXCEL/PHStat2
Random Variables and Probability Distributions
Two Types of Random Variables
Probability Distributions for Discrete Random Variables
The Binomial Random Variable
The Poisson Random Variable (Optional)
Probability Distributions for Continuous Random Variables
The Uniform Distribution (Optional)
The Normal Distribution
Descriptive Methods for Assessing Normality
Approximating a Binomial Distribution with a Normal Distribution (Optional)
Sampling Distributions
The Sampling Distribution of and the Central Limit Theorem
Statistics in Action: Super Weapons Development - Optimizing the Hit Ratio
Using Technology: Binomial Probabilities, Normal Probabilities, and Simulated Sampling Distributions using SPSS, MINITAB, and EXCEL/PHStat2
Applying Statistics to the Real World: The Furniture Fire Case (A Case Covering Chapters 3-4)
Inferences Based on a Single Sample: Estimation with Confidence Intervals
Identifying the Target Parameter
Large-Sample Confidence Interval for a Population Mean
Small-Sample Confidence Interval for a Population Mean
Large-Sample Confidence Interval for a Population Proportion
Determining the Sample Size
Finite Population Correction for Simple Random Sampling (Optional)
Sample survey Designs (Optional)
Statistics in Action: Scallops, Sampling, and the Law
Using Technology: Confidence Intervals using SPSS, MINITAB and EXCEL/PHStat2
Inferences Based on a Single Sample: Tests of Hypothesis
The Elements of a Test of Hypothesis
Large-Sample Test of Hypothesis About a Population Mean
Observed Significance Levels: p-Values
Small-Sample Test of Hypothesis About a Population Mean
Large-Sample Test of Hypothesis About a Population Proportion
Calculating Type II Error Probabilities: More About 脽 (Optional)
Test of Hypothesis About a Population Variance (Optional)
Statistics in Action: Diary of a Kleenex User
Using Technology: Tests of Hypotheses using SPSS, MINITAB and EXCEL/PHStat2
Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses
Identifying the Target Parameter
Comparing Two Population Means: Independent Sampling
Comparing Two Population Means: Paired Difference Experiments
Comparing Two Population Proportions: Independent Sampling
Determining the Sample Size
Comparing Two Population Variances: Independent Sampling
Statistics in Action: The Effect of Self-Managed Work Teams on Family Life
Using Technology: Two-Sample Inferences using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: The Kentucky Milk Case C
(A Case Covering Chapters 7-9)
Analysis of Variance: Comparing More the Two Means
Elements of a Designed Experiment
The Completely Randomized Design
Multiple Comparisons of Means
The Randomized Block Design (Optional)
Factorial Experiments
Statistics in Action: The Ethics of Downsizing
Using Technology: Analysis of Variance using SPSS, MINITAB and EXCEL/PHStat2
The Chi-Square Test and the Analysis of Contingency Tables
Categorical Data and the Multinomial Distribution
Testing Category Probabilities: One-Way Table
Testing Category Probabilities: Two-Way (Contingency) Table
A Word of Caution About Chi-Square Tests
Statistics in Action: A Study of Coupon Users - Mail versus the Internet
Using Technology: Chi-Square Analyses using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: Discrimination In The Workplace (A Case Covering Chapters 8-9)
Simple Linear Regression
Probabilistic Models
Fitting the Model: The Least Squares Approach
Model Assumptions
An Estimator of 驴2
Making Inferences About the Slope 脽1
The Coefficient of Correlation
The Coefficient of Determination
Using the Model for Estimation and Prediction
A Complete Example
Statistics in Action: An MBA's Work-Life Balance
Using Technology: Simple Linear Regression using SPSS, MINITAB and EXCEL/PHStat2
Multiple Regression and ModelBuilding
Multiple Regression Models
The First-Order Model: Estimating and Interpreting the 脽-Parameters
Inferences About the Individual 脽
Parameters and the Overall Model Utility
Using the Model for Estimation and Prediction
Model Building: Interaction Models
Model Building: Quadratic and other Higher-Order Models
Model Building: Qualitative (Dummy) Variable Models
Model Building: Models with both Quantitative and Qualitative Variables (Optional)
Model Building: Comparing Nested Models (Optional)
Model Building: Stepwise Regression (Optional)
Residual Analysis: Checking the Regression Assumptions
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation
Statistics in Action: Bid-Rigging in the Highway construction Industry
Using Technology: Multiple Regression using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: The Condo Sales Case (A Case Covering Chapters 10-11)
Methods for Quality Improvement
Quality, Processes, and Systems
Statistical Control
The Logic of Control Charts
A Control Chart for Monitoring the Mean of a Process: The -Chart
A Control Chart for Monitoring the Variation of a Process: The R-Chart
A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart
Diagnosing the Causes of Variation (Optional)
Capability Analysis (Optional)
Statistics in Action: Testing Jet Fuel Additive for Safety
Using Technology: Control Charts using SPSS, MINITAB and EXCEL/PHStat2
Time Series: Descriptive Analyses, Models, and Forecasting (Available on CD)
Descriptive Analysis: Index Numbers
Descriptive Analysis: Exponential Smoothing
Time Series Components
Forecasting: Exponential Smoothing
Forecasting Trends: The Holt-Winters Model (Optional)
Measuring Forecast Accuracy: MAD and RMSE
Forecasting Trends: Simple Linear Regression
Seasonal Regression Models
Autocorrelation and the Durbin-Watson Test
Statistics In Action: Forecasting the Monthly Sales of a New Cold Medicine
Using Technology: Forecasting using SPSS, MINITAB and EXCEL/PHStat2
Applying Statistics to the Real World: The Gasket Manufacturing Case (A Case Covering Chapters 12-13)
Nonparametric Statistics (available on CD)
Single Population Inferences
Comparing Two Populations: Independent Samples
Comparing Two Populations: Paired Difference Experiment
Comparing Three or More Populations: Completely Randomized Design
Comparing Three or More Populations: Randomized Block Design (Optional)
Rank Correlation
Statistics in Action: Deadly Exposure - Agent Orange and Vietnam Vets
Using Technology: Nonparametric Analyses using SPSS, MINITAB and EXCEL/PHStat2
Basic Counting Rules
Tables
Random Numbers
Binomial Probabilities
Poisson Probabilities
Normal Curve Areas
Critical Values of t
Critical Values of 驴2
Percentage Points of the F Distribution, 驴= 10
Percentage Points of the F Distribution, 驴= 05
Percentage Points of the F Distribution, 驴= 025
Percentage Points of the F Distribution, 驴= 01
Critical Values of TLand TUfor the Wilcoxon Rank Sum Test: Independent Samples
Critical Values of T0in the Wilcoxon Paired Difference Signed Rank Test
Critical Values of Spearman's Rank Correlation Coefficient
Calculation Formulas for Analysis of Variance
Statistics for business and economics / 10th ed.
- 名称
- 类型
- 大小
光盘服务联系方式: 020-38250260 客服QQ：4006604884
云图客服：
用户发送的提问，这种方式就需要有位在线客服来回答用户的问题，这种 就属于对话式的,问题是这种提问是否需要用户登录才能提问
Video Player
×
Audio Player
×
pdf Player
×
亲爱的云图用户，
光盘内的文件都可以直接点击浏览哦
无需下载，在线查阅资料！
