Definition of Statistics and Statistic

History of Statistics

If we look at the age of statistics is a science that is still relatively young at that time than mathematics, and physics. The development of statistical science began since Carl Friedrich Gaus developed the Least Squares Method in an effort to increase the duration of physical measurements in 1800.
Furthermore, the development of statistics took place quickly where R.A. Fisher gave a huge boost to the development and use of the experimental design in 1890 to 1962. Then J. Neyman (1894) and E.S. Pearson (1895), famous for Neyman Pearson's theorem in testing hypotheses in 1936 and 1938. The findings revealed by some of these experts stimulated the majority of researchers to produce useful research to date.

The development of statistics allows us to get more complete information with the use of increasingly complex analysis.

If the term statistics comes from the Italian language "statista" which means statesman, while by definition statistics is the study of how to plan, collect, analyze, interpret, and present data. Where data can be interpreted as the results of measurements or observations that have been collected. The data used in the form of numbers, large-scale, facts or statements that describe the differences or similarities of an individual or object based on characteristics.

The observation cluster is a characteristic that consists of all possible measurement results called a population. The population in question is the whole value or item that might be obtained as a result of observation in a particular problem. For example, we will conduct research to determine the level of consumer satisfaction in Ohama-America regarding the use of Berkshire Hathaway Company's Health Insurance Services, so as researchers we must be able to clearly define who is meant by consumers in Ohama.

This population is only focused on collecting data concerning the characteristics of a group of individuals or objects, especially in large numbers. Population can be finite or infinite. Suppose that the population of all incandescent light bulbs that are produced in a factory every day is finite (can be counted), while the population of all the incidents of life of the incandescent bulb is infinite.

One of the things that is usually considered to observe all members of the population is the problem of the length of time of observation and cost. How do we observe the income of residents across America, if the costs and energy are insufficient.

To obtain a way to obtain information about the population, can be done by observing a portion of the population so that the results can be used for conclusions about the population under investigation. A portion of the population used to study populations is a sample.

If a sample is representative of a population, important conclusions about the population can often be obtained from sample analysis.

Definition of Statistics and Statistic

Maybe the readers are still confused about the notion of statistics and statistic and often assume they have the same definition. Though there are fundamental and significant differences in terms of understanding and function, goals and classification.

Statistics is a branch of mathematics that discusses scientific methods relating to data collection techniques, presentation, and analysis of data, as well as drawing valid conclusions and used in the decision-making process that can be accepted based on analysis. Whereas statistic are the description size of a sample obtained from the results of the data presented in tables, graphs and so on.
Functions and Role of Statistics.

Statistics has a function and role that can be applied to everyday life. To get the maximum function, it requires the application of statistics and statistic as a whole, from taking data to drawing conclusions. Here are some functions and roles of statistics.
1. Statistics describe data in a particular form.
2. Statistics can simplify complex data into data that is easy to understand.
3. Statistics is a technique for making comparisons.
4. Statistics can expand individual experiences.
5. Statistics can measure the magnitude of a symptom.
6. Statistics can determine cause-effect relationships.