The objective of Basic Statistics for Business and Economics is to provide students majoring in management, marketing, finance, accounting, economics, and other fields
of business administration with an introductory survey of the many applications of descriptive
and inferential statistics. While we focus on business applications, we also use many problems and examples that are student oriented and do not require previous courses. Statistical Techniques in Business and Economics was published in 1967. The first edition of Basic Statistics for Business and Economics was published in 1994. For earlier editions of both texts, locating relevant business data was difficult. That has
changed! Today locating data is not a problem. The number of items you purchase at
the grocery store is automatically recorded at the checkout counter. Phone companies track the time of our calls, the length of calls, and the number of the person called. Credit card companies maintain information on the number, time and date, and amount of our purchases. Costco can tell you the total amount of your purchases last year by item and by dates. Medical devices automatically monitor our heart rate, blood pressure, and temperature. A large amount of business information is recorded and reported almost instantly. CNN, USA Today, and MSNBC, for example, all have websites where you can track stock prices with a delay of less than twenty minutes. Today, skills are needed to deal with a large volume of numerical information. First, we need to be critical consumers of information presented by others. Second, we need to be able to reduce large amounts of information into a concise and meaningful form to enable us to make effective interpretations, judgments, and decisions. All students have calculators and most have either personal computers or access to personal computers in a campus lab. Statistical software, such as Microsoft Excel and MINITAB, is available on these computers. The commands necessary to achieve the software results are available in a special section at the end of each chapter. We use screen captures within the chapters, so the student becomes familiar with the nature of the software output. Because of the availability of computers and software it is no longer necessary to dwell on calculations. We have replaced many of the calculation examples with interpretative ones, to assist the student in understanding and interpreting the statistical results. In addition we now place more emphasis on the conceptual nature of the statistical topics. While making these changes, we still continue to present, as best we can, the key concepts, along with supporting examples. |