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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.
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The data in the data frame asset are from Myers (1990), \Classical and Modern Regression with Applications (Second Edition)," Duxbury. The response y here is rm return on assets f
slope parameter of 1.4 and scale parameter of 550.calculate Reliability, MTTF, Variance, Design life for R of 95%
Purposive or Judgement Sampling Under this method of sampling, the choice of selection of sample items from the universe depends exclusively on the judgement of the investi
Stratified Random Sampling: This method of sampling is used when the population is comprised of natural subdivision of units, The method consist in classifying the population u
The calculations of arithmetic mean may be simple and foolproof, but the application of the result may not be so foolproof. An arithmetic mean may not merely lack
12 shoppings in nairobi 38/week
Large Sample Test for Mean A random sample of size n (n > 30) has a sample mean . To test the hypothesis that the population mean μ has a specified value μ 0 let us formu
Cause and Effect Even a highly significant correlation does not necessarily mean that a cause and effect relationship exists between the two variables. Thus, correlation does
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