Statistical Methods for Business and Economics

Statistical Methods for Business and Economics provide an introductory survey of descriptive and inferential statistics to students majoring in management, marketing, finance, accounting, economics, and other fields of business administration. Its signature presentation features a step-by-step approach written in such a way that any student can learn and succeed in Business Statistics. Its simple language and use of multiple examples focus on business applications, but they also relate to the current college student’s world. This methodical approach improves performance, accelerates preparation, and significantly boosts motivation. Lind’s real-world examples, comprehensive coverage, and superior pedagogy, which now includes data analytics coverage, combined with a comprehensive digital solution, assist students in achieving better course outcomes.

KEY FEATURE

Economic statistics are both numerical and quantitative in nature. Symbolic adjectives like rich, poor, tall, and so on have no value in relation to the universal mathematical value.

The mathematical conclusion must be reasonable in light of the investigation’s purpose, nature, size, and available resources.

Counting numbers directly is easy and important in small learning areas, such as the number of students in each college learning area.

Data collection should be done in a systematic manner; that is, raw data collection without any information about its origin, purpose, and so on is not permitted in the mathematical universe.

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