TAILIEUCHUNG - Ebook Business statistics - A decision - making approach (9th edition): Part 1

(BQ) Part 1 book "Business statistics: A decision - making approach" has contents: The where, why, and how of data collection; graphs, charts, and tables - describing your data; describing data using numerical measures; special review section I;.and other contents. | Business Statistics Groebner Shannon Fry 9 781292 023359 9e ISBN 978-1-29202-335-9 Business Statistics A Decision-Making Approach Groebner Shannon Fry Ninth Edition Business Statistics A Decision-Making Approach Groebner Shannon Fry Ninth Edition Pearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout the world Visit us on the World Wide Web at: © Pearson Education Limited 2014 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without either the prior written permission of the publisher or a licence permitting restricted copying in the United Kingdom issued by the Copyright Licensing Agency Ltd, Saffron House, 6–10 Kirby Street, London EC1N 8TS. All trademarks used herein are the property of their respective owners. The use of any trademark in this text does not vest in the author or publisher any trademark ownership rights in such trademarks, nor does the use of such trademarks imply any affiliation with or endorsement of this book by such owners. ISBN 10: 1-292-02335-X ISBN 13: 978-1-292-02335-9 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library Printed in the United States of America P E A R S O N C U S T O M L I B R A R Y Table of Contents 1. The Where, Why, and How of Data Collection David F. Groebner/Patrick W. Shannon/Phillip C. Fry/Kent D. Smith 1 2. Graphs, Charts, and Tables - Describing Your Data David F. Groebner/Patrick W. Shannon/Phillip C. Fry/Kent D. Smith 33 3. Describing Data Using Numerical Measures David F. Groebner/Patrick W. Shannon/Phillip C. Fry/Kent D. Smith 87 4. Special Review Section I David F. Groebner/Patrick W. .

• Kinh tế học
• Business statistics
• Data collection
• Describing data using numerical measures
• Special review section I
• Discrete probability distributions
• Probability distribution
• Lecture Business statistics
• Bài giảng Thống kê doanh nghiệp
• Descriptive statistics tabular
• Descriptive statistics graphical presentations
• Summarizing quantitative data
• Essentials of modern business statistics
• Modern business statistics
• Descriptive statistics
• Graphical presentations
• numerical measures
• Exploratory data analysis
• Interval estimation
• Hypothesis tests
• Simple linear regression
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Business statistics in practice
• Data sources
• Statistical inference
• Illustrate sampling
• Graphical methods
• Tabular methods
• Graphically summarizing qualitative data
• Numerical methods
• Describing central tendency
• Measures of variation
• Sample spaces
• Elementary probability rules
• Compute conditional probabilities
• Discrete random variables
• Binomial distribution
• Continuous random variables
• Continuous probability distributions
• Uniform distribution
• Sampling distributions
• Random sampling
• Stratified random
• Confidence intervals
• Sample size determination
• Hypothesis testing
• Alternative hypotheses
• Sampling distribution
• Equal variance
• Statistical inferences
• Population variances
• Experimental design
• Analysis of variance
• Randomized block design
• Chi square tests
• Chi square goodness of fit tests
• Multinomial experiment
• Simple linear regression analysis
• Simple linear regression model
• Model assumptions
• Multiple regression
• Least squares point estimate
• Multiple regression model
• Times series forecasting
• Index numbers
• Forecast error comparisons
• Statistical process control
• Causes of variation
• Control charts
• Nonparametric methods
• Hypothesis test
• Decision theory
• Utility theory
• Posterior probabilities