Basic business Statistics: concepts and applications

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dc.contributor.authorBerenson, Mark L.
dc.contributor.authorLevine, David M.
dc.contributor.author. Krehbiel, Timothy C
dc.date.accessioned2018-10-28T08:09:39Z
dc.date.available2018-10-28T08:09:39Z
dc.date.copyright2012
dc.date.issued2012
dc.description1 Introduction; 2 Organizing and Visualizing Data; 3 Numerical Descriptive Measures; 4 Basic Probability; 5 Discrete Probability Distributions; 6 The Normal Distribution and Other Continuous Distributions; 7 Sampling and Sampling Distributions; 8 Confidence Interval Estimation; 9 Fundamentals of Hypothesis Testing: One-Sample Tests; 10 Two-Sample Tests; 11 Analysis of Variance; 12 Chi-Square Tests and Nonparametric Tests; 13 Simple Linear Regression; 14 Introduction to Multiple Regression; 15 Multiple Regression Model Building; 16 Time-Series Forecasting; 17 Statistical Applications in Quality Management; 18 A Road Map for Analyzing Data; 19 Decision makingen_US
dc.description.sponsorshipUganda Institute of Information and Communications Technologyen_US
dc.identifier.citationBerenson, M., Levine, D., & Krehbiel, T. C. (2012). Basic business statistics: Concepts and applications. Pearson higher education AU.en_US
dc.identifier.isbn10: 0-13-216838-3
dc.identifier.isbn13: 978-0-13-216838-0
dc.identifier.urihttp://196.43.179.3:8080/xmlui/handle/123456789/439
dc.language.isoen_USen_US
dc.titleBasic business Statistics: concepts and applicationsen_US
dc.typeBooken_US
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dcterms.publisherPrentice Hall, Boston.
dcterms.tableOfContents1 Introduction; 2 Organizing and Visualizing Data; 3 Numerical Descriptive Measures; 4 Basic Probability; 5 Discrete Probability Distributions; 6 The Normal Distribution and Other Continuous Distributions; 7 Sampling and Sampling Distributions; 8 Confidence Interval Estimation; 9 Fundamentals of Hypothesis Testing: One-Sample Tests; 10 Two-Sample Tests; 11 Analysis of Variance; 12 Chi-Square Tests and Nonparametric Tests; 13 Simple Linear Regression; 14 Introduction to Multiple Regression; 15 Multiple Regression Model Building; 16 Time-Series Forecasting; 17 Statistical Applications in Quality Management; 18 A Road Map for Analyzing Data; 19 Decision making

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