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Universe or Population
The word universe as used in statistics denotes the aggregate from which a sample is to be taken. According to Simpson and Kafka, a universe or population may be defined as an aggregate of items possessing a common trait or traits M Hamburg has defined it as, the universe or population consists of the total collection of items or elements that fall within the scope of statistical investigation
In short aggregate of all items falling within the scope of inquiry is called universe. The scope of the universe depends upon the definition, object and available resources for the investigation, for example if we want to study about the wages of the workers of a factory, all the workers taken together shall be called in universe and each worker, an unit or an element. Similarly if in the year 1998 there are 2,00,000 students in Rajasthan university and a survey is required to be made about the employment position of the students, the total students 2,00,000 is the universe and each student of the universe is called a unit or an element.
applications of normal probability distribution
slope parameter of 1.4 and scale parameter of 550.calculate Reliability, MTTF, Variance, Design life for R of 95%
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Related Positional Measures Besides median, there are other measures which divide a series into equal parts. Important amongst these are quartiles, deciles and percentiles.
Meaning and Definitions of Business Forecasting The problem of business forecasting refers to the analysis of the past and present economic conditions. With the objectiv
This box plot displays the diversity wfood; the data ranges from 0.05710 being the minimum value and 0.78900 being the maximum value. The box plot is slightly positively skewed at
Bernoulli's Theorem If a trial of an experiment can result in success with probability p and failure with probability q (i.e.1-p) the probability of exactly r success in n tri
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Admissibility A very common concept which is applicable to any procedure of the statistical inference. The underlying notion is that the procedure/method is admissible if and o
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