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Cluster Sampling and Area Sampling: Cluster sampling involves grouping the population and then selecting the group or the cluster rather than individual elements for inclusion in the sample. The clustering approach can however make the sampling procedure relatively easier and increase the efficiency of fieldwork especially in the case of personal interviews,
Area sampling is generally done when the total geographical area of interest is big one. We first divide the total area into a number of smaller non over lapping areas generally called geographical clusters then a number of these smaller areas are randomly selected and all units in the small areas are included in the sample.
A, Suppose a CD player player tries to detect whether its partner is C player instead of a DD player by looking for external signals that are at least as typical for DD players tha
some examples of karl coefficient.
formula for factor reversal test
What are Saturn’s rings like? - Saturn’s rings are made of tiny icy objects ranging from particles to boulders each orbiting Saturn independently like a tiny moon. They lie in S
Ask question #Minimum 100 words accepteWhen all factors are taken into account, an insurance company estimates that the probability of my father making a claim for damages to his p
please break this problem down to laymen term so that I understand how you arrived at the answer. 1. AllElectronics caries 1000 products, P1, … P1000. Consider customers Ada, Bob,
Capitalization policy The criteria used to decide which capital outlays should be reported as capital assets on the whole state are financial statements,
Suppose we wanted to compare the somatic complaints (as measured on a scale known as the Physical Symptom Survey or PSS) of three groups of people; nonsmokers, smokers, and people
What are the major advantages of the Single Entry System? Ans. A Single Entry system is considered to be the most simplest method to record the financial transaction, only cash bo
1. Mention the characteristics of Statistics. Explain any two applications of Statistics. 2. Distinguish between primary and secondary data. What are the methods of collecting prim
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