Resulting factors are called Second-order factors
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What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
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Answer:
C. Four Haploid Sperm Cells
Explanation:
Meiosis is a cell division measure that creates four haploid cells (gametes) from a solitary diploid germline cell. In males, meiosis is essential for spermatogenesis, the cycle to produce sperm. Sperm are the haploid cells that are produced in meiosis.
Meiosis is a profoundly moderated cell division measure in eukaryotes that produces 4 cells (gametes) from a solitary cell (mother). Nonetheless, Nondisjunction in the male of Drosophila causes much of the time sperm with an addition or loss of chromosomes.
Temperate grasslands are composed of a rich mix of grasses and forbs and underlain by some of the world’s most fertile soils. Since the development of the steel plow most have been converted to agricultural lands.
in the earth's atmosphere is made up about approximately 78 percent nitrogen and 21 percent oxygen.
