Jumat, 08 April 2011

Statistics for the Data Size

Statistics for the Data Size is as important as the term in the Science of Statistics. Size of Statistics is divided into two, namely size and Diversity Data Convergence Data Size. In a cluster of quantitative data, would be very helpful if we can define a numerical measure that describes the size of characteristic features of a data. One way is to use the average of both samples and populations. The average is a measure of data center if the data are sorted from the smallest to the largest or vice versa.

Any value that indicates the center of a cluster of data that has been dirutkan called the size or location of the center is called the size of centralized data. The size of centralized data is divided into three, namely the Central Exchange, Median, Mode.
- Middle or Average Value is the number of data values ​​divided by the number of data.
- The median is a cluster of data that has been sorted where data is located amid the serial data that has been odd if the amount of data and an average of two data that are in the middle even if the amount of data.
- mode is sugugus observation data where the data appear to have a higher frequency or frequent of all the existing data values​​.

Data Convergence actual size is not clearly describe the data. We need to know how far the observations are spread from its average.
- Variety population, obtained by the number of data values ​​minus the average, then squared, and penjumlahannya divided by the number of data. Thus, Σ ((value minus average data) and then squared), then divided by the number of data.
- Variety of a sample is a statistic. So if a random sample of size n the same will produce different S values​​. Obtained for the alleged good value, the value of these allegations must be calculated with the formula that produces the parameter σ Arata flat squares, variety of data obtained by Σ ((average value of civil (Xbar) minus the overall average value) divided by n-1.
The explanation above about the size statistics for the data. Suggestions writers need. Thanks.

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