Question

In: Biology

Bacteria densities in air are usually positively correlated with the densities of particulates and dust. See...

Bacteria densities in air are usually positively correlated with the densities of particulates and dust. See this example from Mancinelli and Shulls (1978):

Bacterial parameter Particulates

Micrococcus +0.45b

Aerococcus +0.31

Staphylococcus +0.38

Total no. of rods isolated +0.41

Total no. of cocci isolated +0.37

Total no. of viable bacteria isolated +0.56b

Why is this?

Solutions

Expert Solution

In their study, Within the 2-year period, the random samples were taken from the urban areas air and the viable microorganism is tested in that air sample. The next step was to determine the number of bacteria and organism included in this experiment are all identified by their morphological and biochemical characteristics.0.013 to 1.88 organisms, this is the number of bacteria found in per liter of air sampled. In their study, they have found that the number of microorganisms (according to the data given above)influenced by the humidity, temperature and the radiation of the environment. In study 21 samples were taken which represented 19 different genera. We can see that the number of micrococcus and staphylococcus is high the reason behind this raised number is the presence of carotene pigment that pigment allow them to survive in sun radiation exposure better than the survival of other microorganisms. They have used some aerosol and air gases prepared in the laboratory which actually found in urban areas in their samples and found that there are some aerosols and gases that enable the microorganisms to grow fully and the microorganisms found in urban air contain aerosols and pollutants have the complex system than the microorganisms found in the laboratory.


Related Solutions

The air we breathe is pretty dirty. It is loaded with dust, debris, viruses, and bacteria....
The air we breathe is pretty dirty. It is loaded with dust, debris, viruses, and bacteria. Our respiratory system has many structures that filter/clean the air we inhale. Describe how some inhaled air is filtered/cleaned by the respiratory structures the air encounters.
In this exercise, we examine the effect of combining investments with positively correlated risks, negatively correlated...
In this exercise, we examine the effect of combining investments with positively correlated risks, negatively correlated risks, and uncorrelated risks. A firm is considering a portfolio of assets. The portfolio is comprised of two assets, which we will call ''A" and "B." Let X denote the annual rate of return from asset A in the following year, and let Y denote the annual rate of return from asset B in the following year. Suppose that E(X) = 0.15 and E(Y)...
In this exercise, we examine the effect of combining investments with positively correlated risks, negatively correlated...
In this exercise, we examine the effect of combining investments with positively correlated risks, negatively correlated risks, and uncorrelated risks. A firm is considering a portfolio of assets. The portfolio is comprised of two assets, which we will call ''A" and "B." Let X denote the annual rate of return from asset A in the following year, and let Y denote the annual rate of return from asset B in the following year. Suppose that E(X) = 0.15 and E(Y)...
Consider two perfectly positively correlated risky securities, A and B
Consider two perfectly positively correlated risky securities, A and B. Security A has an expected rate of return of 16% and a standard deviation of return of 20%. B has an expected rate of return of 10% and a standard deviation of return of 30%. Solve for the minimum variance portfolio (i.e., what are the weights in A and B of the minimum variance portfolio). What is the variance of this portfolio?
Suppose that m = 2, and that the p-values for the two tests are positively correlated,...
Suppose that m = 2, and that the p-values for the two tests are positively correlated, so that if one is small then the other will tend to be small as well, and if one is large then the other will tend to be large. How does the family-wise error rate associated with these m = 2 tests qualitatively compare to the answer in (b) with m = 2? In (b), FWER = 1-(1-alpha)^m
1. In reality, overall growth and income for the poorest are: a. highly positively correlated, but...
1. In reality, overall growth and income for the poorest are: a. highly positively correlated, but not perfectly. b. uncorrelated. c. highly negatively correlated, but not perfectly. d. slightly positively correlated. 2. Economists like Hernando de Soto feel that a ___________ is the key to economic development. a. strong national defense b. strong currency c. strong titling system d. stable currency 3. Peruvian economist Hernando de Soto claims the ___________ in Latin America results in "dead capital." a. weak titling...
Which one of these quantities is positively correlated with the total interest paid on a mortgage?...
Which one of these quantities is positively correlated with the total interest paid on a mortgage? (Note: Total interest is the sum of all interest payments throughout the life of a mortgage.) (A) Amortization period (B) Amount of down payment (C) Amount of a yearly prepayment (also called lump sum) (D) Payment frequency (number of payments per year)
If two continuous measures are positively correlated with one another, does that mean that one of...
If two continuous measures are positively correlated with one another, does that mean that one of them caused the other? Why or why not?If two continuous measures are positively correlated with one another, does that mean that one of them caused the other? Why or why not? (THIS IS FOR MY MKT RESEARCH CLASS)
freight transport management Question 4. The increase in globalised trade is said to be positively correlated...
freight transport management Question 4. The increase in globalised trade is said to be positively correlated to and the result of increasing implementation of unitisation in freight transport. analyse the above statement and provide explanation in detail
Say I have two variables x1 and x2 that are positively correlated with one another. What...
Say I have two variables x1 and x2 that are positively correlated with one another. What is the intuition behind why this correlation is positive while the covariance in the covariance matrix for beta hat is negative?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT