# statistical inference

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## Statistical inference

A statistical method of drawing conclusions on unknown properties of a population based on a random sampling of data from that population.

## statistical inference

a process by which we infer conclusions about a statistical POPULATION from which only a SAMPLE has been drawn. For example, if one million Britons buy bicycles each year, and 200 are asked why they do so, 50% may say because it helps to keep them fit. From this sample one may infer that 50% of the total population of one million Britons buying bicycles do so for this reason. However, it is not possible to say with 100% accuracy that this is the case unless the views of all one million were obtained. Nevertheless, it is possible to say with reasonable confidence that the estimation of 50% is correct for the whole population.
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Traditional inferential statistics held sway throughout the last century.
Statistical aspects, especially inferential statistics, often ignored in structural researches due to time and cost constraint.
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The chapter addressing experimental design, inferential statistic, and computer modeling (Chapter 19) is the most important chapter in the book.
Descriptive and inferential statistics results are found in the Table.
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Quality of reporting of descriptive and inferential statistics in negative studies published in Indian medical journals.
Writing the statistical research summary, the nature of inferential statistics, use and functions of SPSS, using SPSS to recode for t test, descriptive statistics and z scores are discussed.
Table 2: Inferential statistics of nausea, vomiting and need for rescue anti-emetics in tonsillectomy patients.
Labor and employment experts say the most important aspect of the 9th Circuit's decision is the part in which it addresses "trial by formula," or using inferential statistics to determine classwide damages.
The first part of the article will present the basic concepts of inferential statistics and the second part will discuss some effective methods for presenting the statistical output in tables and graphs.

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