Einstein predicted that the mean squared displacement of small
particles due to diffusion (random motion, executed...
Einstein predicted that the mean squared displacement of small
particles due to diffusion (random motion, executed in small,
discrete steps) would increase linearly with time. Prove it in a
simple way.
About 1905 Einstein published a work about diffusion of hard
spheres and brownian motion. One effluence of that is the so called
"Viscosity Equation" which was/is very important for dertermining
moleculat weight of macromolecules by viscosity of solutions.
http://www.ias.ac.in/initiat/sci_ed/resources/chemistry/Viscosity.pdf
http://en.wikipedia.org/wiki/Intrinsic_viscosity
What I like to know: Was there any relation to the other
topics Einstein worked on? Is something known on Einsteins
reason
work on Viscosity?
12. In simple diffusion a solute
A. Is propelled by random molecular motion
B. Moves up its concentration gradient
C. Moves across a membrane because of an input of free
energy.
D. Both A and B are correct
E. All of the above are correct
16. Lipolysis is used to
A. Degrade triacylglycerols
B. Prepare triacylglycerols for excretion
C. Remove lipid from membrane
D. Cleave fatty acids into two carbon units
E. Convert fatty acids to glucose
19. The myelin...
The weight of a small Starbucks coffee is a normally distributed
random variable with a mean of 340 grams and a standard deviation
of 11 grams. Find the weight that corresponds to each event. (Use
Excel or Appendix C to calculate the z-value. Round your
final answers to 2 decimal places.)
highest 30 percent
middle 70 percent
highest 90 percent
lowest 20 percent
The weight of a small Starbucks coffee is a normally distributed
random variable with a mean of 415 grams and a standard deviation
of 23 grams. Find the weight that corresponds to each event.
(Use Excel or Appendix C to calculate the z-value.
Round your final answers to 2 decimal places.)
a.
Highest 20 percent
b.
Middle 60 percent
to
c.
Highest 80 percent
d.
Lowest 15 percent
The weight of a small Starbucks coffee is a normally distributed
random variable with a mean of 350 grams and a standard deviation
of 11 grams. Find the weight that corresponds to each event. (Use
Excel or Appendix C to calculate the z-value. Round your final
answers to 2 decimal places.)
a. Highest 10 percent _________
b. Middle 50 percent _________to________
c. Highest 80 percent _________
d. Lowest 10 percent__________
The weight of a small Starbucks coffee is a normally distributed
random variable with a mean of 340 grams and a standard deviation
of 11 grams. Find the weight that corresponds to each event. (Use
Excel or Appendix C to calculate the z-value. Round your
final answers to 2 decimal places.)
highest 30 percent
middle 70 percent
highest 90 percent
lowest 20 percent
The weight of a small Starbucks coffee is a normally distributed
random variable with a mean of 385 grams and a standard deviation
of 8 grams. Find the weight that corresponds to each event. (Use
Excel or Appendix C to calculate the z-value. Round your final
answers to 2 decimal places.) a. Highest 30 percent b. Middle 70
percent to c. Highest 90 percent d. Lowest 20 percent
Describe how allele frequencies change due to random genetic
drift in a small population versus a large population, showing an
example of calculating the probability of drift leading to loss of
an allele in a small diploid population of size 10, versus a
population of size 100.
Small Mean Problem. Grandfather clocks have a
particular market in auctions. You are given a random
sample of 20 purchases of grandfather clocks at auctions in
Pennsylvania. The sample statistics are:
Mean = $1,343.04
Std Dev = $414.04
C.V. = 30.83
N = 20
You are asked to create a 90% Confidence Interval around the
price for this sample.
The t-value you would use is? I just want the
answer. Use 3 decimal places for your answer and use the...
Small Mean Problem. Grandfather clocks have a
particular market in auctions. You are given a random
sample of 20 purchases of grandfather clocks at auctions in
Pennsylvania. The sample statistics are:
Mean = $1,343.04
Std Dev = $414.04
C.V. = 30.83
N = 20
You are asked to create a 90% Confidence Interval around the
price for this sample.
The Upper Value for this confidence interval
is? I just want the answer. Use 3 decimal places for your
answer and...