8 edition of **Probability and statistics for business decisions** found in the catalog.

Probability and statistics for business decisions

Robert Schlaifer

- 374 Want to read
- 30 Currently reading

Published
**1959**
by McGraw-Hill in New York
.

Written in English

- Industrial management -- Decision making -- Mathematical models,
- Statistical decision,
- Probabilities

Classifications | |
---|---|

LC Classifications | HD38 .S35 |

The Physical Object | |

Pagination | 732 p. |

Number of Pages | 732 |

ID Numbers | |

Open Library | OL6251084M |

LC Control Number | 58013017 |

Our Statistics tutors got you covered with our complete stats help – be it Introduction to Statistics, Probability and Statistics, Elementary Statistics, or Business Statistics. Learn stats with ease! Just like your Statistics class or textbook, our comprehensive stats help includes topics such as Descriptive Statistics, Inferential /5(13). Probability and statistics for business decisions; an introduction to managerial economics under uncertainty Item PreviewPages:

Probability and Statistics Impact Our Lives. In his book, The Drunkard’s Walk: How Randomness Rules Our Lives [Vintage, ], Leonard Mlodinow provides an interesting look at how random events guide so much of what happens to us and the world around us. Leonard Mlodinow gives numerous examples of “the principles that govern chance and the . Together, statistical calculations and probability concepts allow you to make good business decisions, even in times of uncertainty. About Probability, Statistics and Chance Probability concepts are abstract ideas used to identify the degree of risk a business decision involves.

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Probability and Statistics for Business Decisions First Edition by Robert Schlaifer (Author) out of 5 stars 1 rating.

ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the 3/5(1).

Probability and Statistics for Business Decisions: An Introduction to Managerial Economics Under Uncertainty Hardcover – January 1, by Robert Schlaifer (Author) out of 5 stars 1 rating.

See all 2 formats and editions Hide other formats and editions. Price New from Used from 3/5(1). Importance of Statistics in Business Limitations of statistics Summary Self-Test Questions Suggested Readings INTRODUCTION For a layman, ‘Statistics’ means numerical information expressed in quantitative terms.

This information may relate to objects, subjects, activities, phenomena, or regions of space. Probability has a major role in business decisions, provided you do some research and know the variables you may be facing.

Business uses of probability include determining pricing structures, deciding how and when to launch a new product and even which ads you should launch for the best results. The only way a business can take these risks into account when making investment decisions is to use probability as a calculation method.

After analyzing the probabilities of gain and loss associated with each investment decision, a business can apply probability models to calculate which investment or investment combinations yield the greatest.

Probability and Statistics for Business Decisions. An Introduction to Managerial Economics under Uncertainty by Robert Schlaifer and a great selection of related books, art and collectibles available now at Overview: W hy Statistics and Probability?.

In daily life, we always try to make the best decisions in which we think will succeed. Probability and Statistics give you one way to think about the decisions you make and gives you one direction to think about your decision. Business Statistics. This book covers the following topics: An Introduction To Business Statistics, Dispersion And Skewness, Correlation Analysis, Regression Analysis, Index Numbers, Analysis Of Time Series, Probability Theory, Probability Distributions, Sampling And Sampling Methods, Sampling Distributions, Statistical Estimation, Testing Of Hypotheses, Non-parametric Tests.

The Role of Probability Distribution in Business Management. Small-business owners cannot always rely on hunches, instincts and lucky guesses to survive and thrive.

In a competitive business environment, the mathematical tools offered in probability analysis can show entrepreneurs the most likely outcomes and most. Check out "Probability Theory" by author E.T. Jaynes. Published by the Oxford University Press (so it >has.

e-books in Probability & Statistics category Probability and Statistics: A Course for Physicists and Engineers by Arak M. Mathai, Hans J.

Haubold - De Gruyter Open, This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing.

Random variables and probability distributions are two of the most important concepts in statistics. A random variable assigns unique numerical values to the outcomes of a random experiment; this is a process that generates uncertain outcomes. A probability distribution assigns probabilities to each possible value of a random variable.

The two basic types of probability [ ]. Statistics for Business and Economics is a straightforward and detailed introduction to the concepts and theory which appear in most undergraduate or MBA courses in this field.

The text complements such well-referenced textbooks as D.K. Hildebrand and R.L. Ott’s “Basic Statistical Ideas for Managers,” and “The Practice of Business /5(93).

workplace for making more informed decisions, and why this information is important. ID: VIDEOcb4cadd7d03bc8b9ca Probability and Conditional Probability in Business Decision-Making RECORDED ON COPYRIGHT TAGS QNT/, Conditional Probability, Probability, Statistics €Probability is the math of uncertainty, chance, Size: 24KB.

Chapter 4 Probability Theory Preview: Probability theory is the study of likelihoods that given events will occur. Probability theory plays a role in everything from operating a local casino - Selection from Using Statistics for Better Business Decisions [Book].

and statistics to business problems of decision under conditions of uncertainty. The general nature of this approach is set forth in Professor Schlaifer’s Probability and Statistics for Business Decisions published by the McGraw-Hill Book Company inand it is expected that work in such problems will be a continuing part of.

Descriptive statistics: As the name implies, descriptive statistics focus on providing you with a description that illuminates some characteristic of your numerical dataset. Inferential statistics: Rather than focusing on pertinent descriptions of your dataset, inferential statistics carve out a smaller section of the dataset and attempt to deduce something significant about the larger.

high school math. social sciences. literature and english. foreign languages. probability and statistics. The computer programs, solutions to the odd-numbered famous text An Introduction to Probability Theory and Its Applications (New York: Wiley, ). In the preface, Feller wrote about his treatment of ﬂuctuation in coin editions of this book.

His book on probability is likely to remain the classic bookCited by: Introduction—Uses of Probability and Statistics 11 Probabilities and decisions There are two differences between questions about probabili-ties and the ultimate decision problems: 1. Decision problems always involve evaluation of the conse-quences—that is, taking into account the benefits and the costsFile Size: 81KB.

Probability = desired outcome/total number of outcomes. Thus, a probability is a number or a ratio which ranges from 0 to 1. Zero for an event which cannot occur and 1 for an event, certain to occur. Different Schools of Thought on the Concept of Probability: There are different schools of thought on the concept of probability: 1.For example, data analysis requires descriptive statistics and probability theory, at a minimum.

These concepts will help you make better business decisions from data. Key concepts include probability distributions, statistical significance, hypothesis testing, and regression.A probability tree is a picture indicating probabilities and conditional probabilities for combinations of two or more events.

We will begin with an example of a completed tree and follow up with the details of how to construct the tree. Probability trees are closely related to decision trees, which are used in finance and other fields in business.