#statistics and sampling

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Statistics and Sampling

Statistics and Sampling are the techniques in which statistics summarizes the data or is the science that assembles, introduces, examines and clarifies or explains the numerical data and sampling is used to collect the require data from the summarized collection of data. Statistics is used when we have large number of data not when we have a single figure.

Statistical Sampling is the process or strategy in which the data is collected from somewhere then it analyzed using tables and graphs by doing this we can identify the how many attention of a occurrence are essential in order to draw fairly legal results about it.

In general Statistics sampling is related with the choosing of a subset of singles from within a population so that we can calculate the feature of the whole population. Sampling has three advantages : -

-Low cost during the retrieving the data.

-Faster data collection.

-After the sampling of data we get the summarized data so that the accuracy and quality is retain.

Need of sampling : - When we have scattered data then it is summarized by the statistics into a proper manner then it is retrieved by the sampling methods and techniques. Like in population it is not easy to check the every element. So for these cases some elements are chosen from the population in such mode so that they can denote for universe. This type of segment is called sample and the process is called sampling. Mean, median, mode and range are used in sampling. There are lots of techniques and methods that simplify the process of sampling, they are :- (know more about icse board, here)

-Random Sampling.

-Systematic Sampling.

-Opportunities Sampling.

-Stratified Sampling.

-Probability Proportional To Size Sampling.

-Cluster Sampling.

-Quota Sampling.

-Accidental Sampling.

-Line Intercept Sampling.

-Panel Sampling.

By all these methods we can sample any type of data and In the next session we will discuss about Statitics and its Applications.

[statisticsmaths-blog-blog]

History of Statistics and its basics

Hello students. In mathematics the statistics plays a great role. Many of the statistics applications are used in various fields such as business, education, accounting, social science and many more. The history of statistics has a great theory within it. This is started in about 1749; this word means collection of information in a proper manner. In every century the meaning of statistics has been expanded, slowly it induces many data definitions, summarized data and tools. The term statistics came from the Latin word Statisticum Collegium which means council of state with the Italian word Stattista that means politician. But it was first brought forward by the German Statistik the name was Gottfried Achenwall in 1749. He produced the data analysis about the every state. Some founders of the statistics are below :-

-John Graunt (English 1620 – 1674 )

-Thomas Bayes (English 1702 – 1761 )

-Thorvald N. Thiele (Danish, 1838 - 1910)

Actually the list is very big so it is not possible to describe all founders here. They all were so much dedicated for the statistics and spent almost whole life to expanding statistics. The main aim to introduce the statistics is to provide support to the government centers. The whole history of the statistics contains many controversies and volumes.

Statistics basics include some terms and terminologies. They are : -

-Data and variable :- A data is raw fact and figures related to any field. And variable is the Representative for any field, in this we can take many different values.

-Measurement scale : - In measurement scale we measure the data and variables information according to their type and requirement. (know more about icse board, here)

Mean, median, mode, standard deviation normality correlations, t – test for dependent and independent variable, frequency tables and many more are the statistics basics.

In the next session we are going to discuss Statistics and Sampling.