Business statistics:
Shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics. You'll get an introduction on sampling and graphs, and discover how statistics are used in daily life
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, NJ
John Wiley & Sons, Inc.
[2024]
|
| Edition: | 2nd edition |
| Series: | for dummies
Learning made easy |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | Shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics. You'll get an introduction on sampling and graphs, and discover how statistics are used in daily life |
| Item Description: | Auf dem Cover: Discover how statistics and business go hand in hand; Grasp core principles and methods of business statistics; Learn how to use the TI-84 plus calculator |
| Physical Description: | xiii, 378 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 9781394219926 139421992X |
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MARC
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| 245 | 1 | 0 | |a Business statistics |c by Alan Anderson, PhD |
| 246 | 1 | 3 | |a Business statistics for dummies |
| 250 | |a 2nd edition | ||
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons, Inc. |c [2024] | |
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| 300 | |a xiii, 378 Seiten |b Illustrationen, Diagramme |c 24 cm | ||
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| 520 | 3 | |a Shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics. You'll get an introduction on sampling and graphs, and discover how statistics are used in daily life | |
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| 653 | 0 | |a Statistique | |
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Contents at a Glance Introduction. 1 Part 1: Getting Started with Business Statistics. 5 chapter 1: The Art and Science of Business Statistics. 7 chapter 2: Pictures Tell the Story: Graphical Representations of Data. 21 3: Identifying the Center of a Data Set. 35 chapter 4: Measuring Variation in a Data Set. 53 chapter chapter s: Measuring How Data Sets Are Related to Each Other. 71 Part 2: Probability Theory and Probability Distributions.95 chapter 6: Probability Theory: Measuring the Likelihood of Events. 97 chapter?: Probability Distributions and Random Variables. 115 The Binomial and Poisson Distributions. 127 chapter 9: The Normal Distribution: So Many Possibilities!. 145 chapters: chapter io: Sampling Techniques and Distributions. 165 Part 3: Drawing Conclusions from Samples. 185 chapter и: Confidence Intervals and the Student's t-Distribution. 187 chapter chapter 12: Testing Hypotheses about the Population Mean. 205 13: Applications of the Chi-Square
Distribution. 245 chapter 14: Applications of the F-Distribution. 273 Part 4: More Advanced Techniques: Regression Analysis and Spreadsheet Modeling. 287 chapter chapter is: Simple Regression Analysis. 289 16: Key Statistical Techniques in Excel. 317 Part 5: The Part of Tens. 343 chapter 17: Ten Соттоп Еггог That Arise in Statistical Analysis. 345 chapter is: (Almost) Ten Key Categories of Formulas for Business Statistics 353 Index.363
Table of Contents INTRODUCTION. 1 About This Book. 1 Foolish Assumptions. 2 Icons Used in This Book. 3 Beyond the Book. 3 Where to Go from Here. 3 PART 1: GETTING STARTED WITH BUSINESS STATISTICS. 5 CHAPTER 1: The Art and Science of Business Statistics. 7 Representing the Key Properties of Data. 8 Analyzing data with graphs. 8 Defining properties and relationships with numerical measures. 11 Probability: The Foundation of All Statistical Analysis. 13 Random variables. 14 Probability distributions. 15 Using Sampling Techniques and Sampling Distributions. 17 Statistical Inference: Drawing Conclusions from Data. 17 Confidence
intervals. 18 Hypothesis testing. 18 Simple regression analysis. 19 CHAPTER 2: Pictures ΤβΙΙ thü Story: Graphical Representations of Data. 21 Analyzing the Distribution of Data by Class or Category.22 Frequency distributions for quantitative data. 23 Frequency distribution for qualitative values. T1 Cumulative frequency distributions. 28 Histograms: Getting a Picture of Frequency Distributions. 29 Checking Out Other Useful Graphs. 31 Line graphs: Showing the values of a data series. 31 Pie charts: Showing the composition of a data set. 32 Scatter plots: Showing the relationship between two variables. .33 chapters: Identifying the Center of aData Set. 35 Looking at Methods for Finding theMean. 36 Arithmetic mean. 36 Geometric mean. 38 Weighted mean. 40 Table of Contents VÜ
Getting to the Middle of Things: The Median of a Data Set. 42 Determining the Relationship Between the Mean and Median. 44 Symmetrical. 45 Negatively skewed.45 Positively skewed.46 Discovering the Mode: The Most Frequently Repeated Element. 48 Computing the Mean, Median, and Mode with the TI-84 Plus Calculator.50 CHAPTER 4: Measuring Variation in a Data Set.53 Determining Variance and Standard Deviation. 54 Finding the sample variance. 54 Finding the sample standard deviation.55 Calculating population variance and standard deviation. 59 Finding the Relative Position of Data. 62 Percentiles: Dividing everything into hundredths. 63 Quartiles: Dividing everything into fourths. 64 Interquartile range: Identifying the middle 50 percent. 66 Measuring Relative Variation. 67 Coefficient of variation: The spread of a data set relative to the
mean. 67 Comparing the relative risks of two portfolios. 68 Computing Measures of Dispersion with the TI-84 Plus Calculator. .69 CHAPTER 5: Measuring How Data Sets Are Related to Each Other. 71 Understanding Covariance and Correlation.72 Sample covariance and correlation coefficient. 73 Population covariance and correlation coefficient. 78 Comparing correlation and covariance. 83 Interpreting the Correlation Coefficient. 86 Showing the relationship between two variables. 87 Application: Correlation and the benefits of diversification. 89 Computing Covariance and Correlation with the TI-84 Plus Calculator.92 PART 2: PROBABILITY THEORY AND PROBABILITY DISTRIBUTIONS. 95 CHAPTERG: Probability Theory: Measuring the Likelihood of Events. 97 Working with Sets. 98 Membership. 98
Subset. 98 VÜÎ Business Statistics For Dummies
Union. 99 Intersection. 100 Complement. 102 Betting on Uncertain Outcomes. 103 The sample space: Everything that can happen. 103 Event: One possible outcome. 103 Computing probabilities of events. 105 Looking at Types of Probabilities. 106 Unconditional (marginal) probabilities: When events are independent.106 Joint probabilities: When two things happen at once. 108 Conditional probabilities: When one event depends on another. 108 Determining independence of events. 109 Following the Rules: Computing Probabilities. 110 Addition rule. 110 Complement rule. 112 Multiplication rule. 113 CHAPTER 7: Probability Distributions and Random
Variables.115 Defining the Role of the Random Variable. 116 Assigning Probabilities to a Random Variable. 119 Calculating the probability distribution.119 Visualizing a probability distribution with a histogram. 121 Characterizing a Probability Distribution with Moments. 121 Understanding the summation operator (Σ). 122 Expected value. 122 Variance and standard deviation. 124 CHAPTER 8: The Binomial and Poisson Distributions. 127 Looking at Two Possibilities with the Binomial Distribution.128 Checking out the binomial distribution.128 Computing binomial probabilities. 129 Moments of the binomial distribution. 134 Graphing the binomial distribution. 135 Keeping the Time: The Poisson Distribution. 137 Computing Poisson probabilities. 138 Graphing the Poisson distribution. 140 Computing Binomial and Poisson Probabilities with theTI-84 Plus
Calculator. 141 Computing binomial probabilities. 141 Computing Poisson probabilities. 142 Table of Contents ix
CHAPTER 9: The Normal Distribution: So Many Possibilities!. 145 Comparing Discrete and Continuous Distributions.146 Understanding the Normal Distribution. 148 Graphing the normal distribution. 149 Getting to know the standard normal distribution. 151 Computing standard normal probabilities. 152 Computing normal probabilities other than standard normal. .159 Computing Probabilities for the Normal Distribution with the TI-84 Plus Calculator. 162 CHAPTER 10: Sampling Techniques and Distributions. 165 Sampling Techniques: Choosing Data from a Population. 166 Probability sampling. 167 Nonprobability sampling. 172 Sampling Distributions. 174 Portraying sampling distributions graphically. 175 Moments of a sampling distribution. 177 The Central Limit Theorem. 178 Converting X to a standard normal random variable. 179 PART 3: DRAWING CONCLUSIONS FROM SAMPLES. 185 chapter Intervals and the Student's
t-Distribution. 187 и: Confidence Almost Normal: The Student's t-Distribution. 188 Properties of the t-distribution. 188 Degrees of freedom. 189 Moments of the t-distribution. 189 Graphing the t-Distribution. 191 Probabilities and the t-Table. 193 Point Estimates vs. Interval Estimates. 194 Estimating Confidence Intervals for the Population Mean. 195 Known population standard deviation. 196 Unknown population standard deviation.199 Computing Confidence Intervals for the Population Mean with the TI-84 Plus Calculator. 201 Population standard deviation is known. 202 Population standard deviation is unknown. 203 X Business Statistics For Dummies
chapter 12: Testing Hypotheses about the Population Mean. 205 Applying the Key Steps in Hypothesis Testing for a Single Population Mean. 206 Writing the null hypothesis. 206 Coming up with an alternative hypothesis. 206 Choosing a level of significance. 209 Computing the test statistic. 211 Comparing the critical value(s). 212 Using the decision rule. 220 Testing Hypotheses About Two Population Means. 223 Writing the null hypothesis for two population means. 224 Defining the alternative hypotheses for two population means. 224 Determining the test statistics for two population means. 225 Testing Hypotheses about Population Means with the TI-84 Plus Calculator. 235 Single population mean. 235 Two population means. 239 CHAPTER 13: Applications of the Chi-Square Distribution. 245 Staying Positive with the Chi-Square
Distribution. 246 Representing the chi-square distribution graphically. 247 Defining a chi-square random variable. 248 Checking out the moments of the chi-square distribution.249 Testing Hypotheses about the Population Variance. 250 Defining what you assume to be true: The null hypothesis. 250 Stating the alternative hypothesis. 251 Choosing the level of significance. 253 Calculating the test statistic. 253 Determining the critical value(s). 254 Practicing the Goodness of Fit Tests. 258 Comparing a population to the Poisson distribution. 259 Comparing a population to the normal distribution. 265 Conducing a Goodness of Fit Test with the TI-84 Plus Calculator . ,270 CHAPTER 14: Applications of the F-Distribution. 273 Getting to Know the F-Distribution. 273 Defining an F random variable. 275 Measuring the moments of the F-distribution. 276 Testing Hypotheses about the Equality of Two Population Variances.278 The null hypothesis:
Equal variances. 279 The alternative hypothesis: Unequal variances. 279 Table of Contents XÎ
The test statistic.280 The critical value(s). 280 The decision about the equality of two population variances . .282 Testing Hypotheses about Two Population Variances with the TI-84 Plus Calculator. 283 PART 4: MORE ADVANCED TECHNIQUES: REGRESSION ANALYSIS AND SPREADSHEET MODELING.287 CHAPTER 15: Simple Regression Analysis. 289 The Fundamental Assumption: Variables Have a Linear Relationship.290 Defining a linear relationship. 291 Using scatter plots to identify linear relationships. 292 Defining the Population Regression Equation. 295 Estimating the Population Regression Equation. 297 Testing the Estimated Regression Equation. 303 Using the coefficient of determination (R2). 303 Computing the coefficient of determination. 305 The t-test. 306 Using Statistical Software. 311 Assumptions of Simple Linear
Regression. 313 Conducting Simple Regression Analysis with the TI-84 Plus Calculator. 314 CHAPTER 16: Key Statistical Techniques in Excel. 317 Implementing Excel Functions. 317 Checking Out Excel's Key Statistical Functions. 318 Measures of central tendency. 319 Measures of dispersion. 321 Measures of association. 322 Discrete probability distributions. 324 Continuous probability distributions.326 Confidence intervals. 331 Regression analysis. 333 Going Deeper with the Analysis ToolPak. 334 Computing covariance and correlation.335 Computing descriptive statistics. 337 Regression analysis. 338 Hypothesis testing. 340 XÜ Business Statistics
For Dummies
PÄRT 5: THE PÄRT OF TENS. 343 chapter i7:Ten Common Errors That Arise in Statistical Analysis. 345 Designing Misleading Graphs. 346 Drawing the Wrong Conclusion from a Confidence Interval. 347 Misinterpreting the Results of a Hypothesis Test. 348 Placing Too Much Confidence in the Coefficient of Determination (R2). 348 Assuming Normality. 349 Thinking Correlation Implies Causality. 349 Drawing Conclusions from a Regression Equation When the Data Do Not Follow the Assumptions. 350 Using Regression Analysis to Make Predictions About Values Outside the Range of Sample Data. 350 Placing Too Much Confidence in Forecasts. 351 Using the Wrong Distribution. 351 CHAPTER 18: (Almost) Ten Key Categories of Formulas for Business Statistics. 353 Summary Measures of a Population or a Sample.353 Probability.355 Discrete Probability
Distributions. 356 Continuous Probability Distributions. 357 Sampling Distributions. 357 Confidence Intervals for the Population Mean. 358 Testing Hypotheses about Population Means. 359 Testing Hypotheses about Population Variances. 361 Using Regression Analysis. 362 INDEX. 363 Table of Contents xiii |
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| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 2nd edition |
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| spelling | Anderson, Alan H. 1950- Verfasser (DE-588)14333140X aut Business statistics by Alan Anderson, PhD Business statistics for dummies 2nd edition Hoboken, NJ John Wiley & Sons, Inc. [2024] © 2024 xiii, 378 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier for dummies Learning made easy Auf dem Cover: Discover how statistics and business go hand in hand; Grasp core principles and methods of business statistics; Learn how to use the TI-84 plus calculator Shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics. You'll get an introduction on sampling and graphs, and discover how statistics are used in daily life Betriebswirtschaftliche Statistik (DE-588)4006243-0 gnd rswk-swf Commercial statistics Industrial management / Statistical methods Statistics Gestion d'entreprise / Méthodes statistiques Statistique statistics Betriebswirtschaftliche Statistik (DE-588)4006243-0 s DE-604 Erscheint auch als Online-Ausgabe 978-1-394-21994-0 Erscheint auch als Online-Ausgabe 978-1-394-21993-3 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034835536&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Business statistics |
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| title_auth | Business statistics |
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| title_short | Business statistics |
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