Answer:
<em>Both Banks and Credit Unions are similar in that they provide much needed financial support to customers. However, there are key difference in how they operate</em>
Explanation:
Banks are for-profit organisations that are set up under legal jurisdictions to provide numerous services including loans, mortgages, credit card services and much more.
Credit Unions, however are non-profit organisations. They are set up and owned by their members and each member even gets a share of the profits.
Hence, their aim is to help members and not just make a profit from every deal.
On the other hand, banks are answerable to shareholders and each deal is based upon the risk and profit it could bring in. Also, banks provide far more products and services to their customers.
The advantage that is conferred to algae and plants that have sporopollenin is that they have reproductive cells that are more resistant to desiccation. Remember that a sporopollenin is a polymer that is inert and makes up the outer layer of pollen grains and spores. Sporopollenin<span> is also found in the cell walls of several taxa of green </span>alga<span>, including Phycopeltis </span>
Answer:
a) 0.1 mL
b) contamination
c) clumping of colonies
d) Uneven colonies
Explanation:
In general, when performing spread plates, 0.1 mL
mL of cell suspension is added to the plate to prevent the formation of a microbial contamination
Adding more than 1 mL of cell suspension to an agar plate will result in a clumping of colonies.
Adding less than 1 mL of cell suspension to an agar plate will result in a Uneven colonies
Resulting factors are called Second-order factors
<h3>
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.
To Learn more about factor analysis from the given link
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