Learning Objectives:
Ø
define
what is meant by statistics and statistician?
Ø
explain
what is meant by variables and types of variables.
Ø
distinguish
between a qualitative variable and a quantitative variable.
Ø
differentiate
between descriptive statistics and inferential statistics.
Ø
simplify
and evaluate the expressions involving summation notation
Introduction
The word statistics is most popular through radio, television, newspapers, and even magazines. Statistics stress analysis of data to generate and facilitate the process of decision – making.
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For the last decade, there has come up among businessmen, policy makers, researchers, economists in government, sociologist, education, psychology, medicine, and business circles, a growing realization of the importance of statistics in policy and decision – making. As a result, many colleges and universities have included statistics in their curricular offerings.
The improvement of quality in the industry among most progressive country has occurred in the early nineteen and twenty first century. The success of the Japanese “industrial miracle” has been attributed to the use of statistical methods and statistical thinking among management personnel (Walpole, 2002).
Statistics is now an active intellectual field of study, the fundamental discoveries may alter statistical practice during the lifetime of the readers of this book (Kenny, 2002).
Statistics is now an active intellectual field of study, the fundamental discoveries may alter statistical practice during the lifetime of the readers of this book (Kenny, 2002).
SEE YOU IN THE NEXT TOPIC:
SAMPLE SPACE AND EVENTS OF AN EXPERIMENT
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