If a spherical ligand field is replaced by an
octahedral ligand field, what changes
in orbital energies will accompany this?
In: Chemistry
Doping changes the Fermi energy of a semiconductor. Consider
silicon, with a gap of 1.11 eV between the top of the valence band
and the bottom of the conduction band. At 300 K the Fermi level of
the pure material is nearly at the midpoint of the gap. Suppose
that silicon is doped with donor atoms, each of which has a state
0.13 eV below the bottom of the silicon conduction band, and
suppose further that doping raises the Fermi level to 0.11 eV below
the bottom of that band (see the figure below). For
(a) pure and (b) doped silicon,
calculate the probability that a state at the bottom of the silicon
conduction band is occupied. (c) Calculate the
probability that a donor state in the doped material is
occupied.
In: Physics
a) describe the distribution of cardiac output in systemic circulation at rest
b) what changes in cardiac output distribution will occur during excersise?
physiology
In: Biology
a) describe the distribution of cardiac output in systemic circulation at rest
b) what changes in cardiac output distribution will occur during excersise?
physiology
In: Biology
Did your prediction of the what tube would give the fastest and slowest flow rate turn out to be correct after performing the experiment? If not, why were you surprised? (if you have not performed the experiment, make a prediction based on what you learned in the lecture how flow rate is affected by the radius of a tube and then watch the video of the experiment on vUWS labelled bucket_flow rate).
What implications could this important concept and physics principal have in “real life” applications – list as many as you can think of where this concept applies or is used.
What implications does this important concept have in physiology?
What other physical characteristic of a fluid would influence the flow of a bodily liquid such as blood? How would it influence flow and why?
In: Physics
Use the starting balance sheet, income statement, and the list of changes to answer the question.
| Valley Technology Balance Sheet As of December 31, 2019 (amounts in thousands) |
|||
|---|---|---|---|
| Cash | 22,000 | Liabilities | 36,000 |
| Other Assets | 28,000 | Equity | 14,000 |
| Total Assets | 50,000 | Total Liabilities & Equity | 50,000 |
| Valley Technology Income Statement January 1 to March 31, 2020 (amounts in thousands) |
|
|---|---|
| Revenue | 7,200 |
| Expenses | 3,600 |
| Net Income | 3,600 |
Between January 1 and March 31, 2020:
1. Cash decreases by $200,000
2. Liabilities decrease by $100,000
3. Paid-In Capital does not change
4. Dividends paid of $400,000
What is the value for Other Assets on March 31, 2020?
Note: Account change amounts are provided in dollars but the financial statement units are thousands of dollars.
Please specify your answer in the same units as the financial statements (i.e., enter the number from your updated balance sheet).
In: Accounting
The blood pressure of a person changes throughout the day. Suppose the systolic blood pressure of a person is measured 24 times over several days and the standard deviation of these measurements for the person is known to be σ=9 σ = 9 mmHg. Let μ μ be the true average blood pressure for that person and let x¯=96 x ¯ = 96 be the average of the 24 measurements. (a) Find a two-sided 91% confidence interval for μ.μ. One can be 91% confident that the true average blood pressure μμ for that person is between _ and _
(b) Find a lower-bound 91% confidence interval for μ.μ. One can be 91% confident that the true average blood pressure μμ for that person is at least _
(c) Find an upper-bound 91% confidence interval for μ.μ. One can be 91% confident that the true average blood pressure μμ for that person is at most _
In: Statistics and Probability
Changes in Education Attainment: USE SOFTWARE - According to the U.S. Census Bureau, the distribution of Highest Education Attainment in U.S. adults aged 25 - 34 in the year 2005 is given in the table below.
Census: Highest Education Attainment - 2005
| No | High School | Associate's | Bachelor's | Graduate or | |
| Diploma | Diploma | Degree | Degree | Professional Degree | |
| Percent | 14% | 48% | 8% | 22% | 8% |
In a survey of 4000 adults aged 25 - 34 in the year 2013, the
counts for these levels of educational attainment are given in the
table below.
Survey (n = 4000): Highest Education Attainment - 2013
| No | High School | Associate's | Bachelor's | Graduate or | |
| Diploma | Diploma | Degree | Degree | Professional Degree | |
| Count | 535 | 1927 | 336 | 886 | 316 |
The Test: Test whether or not the distribution of
education attainment has changed from 2005 to 2013. Conduct this
test at the 0.05 significance level.
(a) What is the null hypothesis for this test?
H0: p1 = p2 = p3 = p4 = p5 = 1/5
H0: The distribution in 2013 is different from that in 2005.
H0: p1 = 0.14, p2 = 0.48, p3 = 0.08, p4 = 0.22, and p5 = 0.08.
H0: The probabilities are not all equal to 1/5.
(b) The table below is used to calculate the test statistic.
Complete the missing cells.
Round your answers to the same number of decimal places as
other entries for that column.
| Highest | Observed | Assumed | Expected | ||||
| i | Education | Frequency (Oi) | Probability (pi) | Frequency Ei |
|
||
| 1 | No Diploma | 535 | 0.14 | 560 | |||
| 2 | Diploma | 1927 | 0.48 | 0.026 | |||
| 3 | Associate's | 336 | 320 | 0.800 | |||
| 4 | Bachelor's | 0.22 | 880 | 0.041 | |||
| 5 | Grad or Prof | 316 | 0.08 | 320 | 0.050 | ||
| Σ | n = 4000 | χ2 = | |||||
(c) What is the value for the degrees of freedom?
(d) What is the critical value of χ2?
Use the answer found in the
χ2-table or round to 3 decimal
places.
tα =
(e) What is the conclusion regarding the null hypothesis?
reject H0
fail to reject H0
(f) Choose the appropriate concluding statement.
We have proven that the distribution of 2013 education attainment levels is the same as the distribution in 2005.
The data suggests that the distribution of 2013 education attainment levels is different from the distribution in 2005.
There is not enough data to suggest that the distribution of 2013 education attainment levels is different from the distribution in 2005.
In: Statistics and Probability
1. Discuss what the following errors or changes in procedure will have on your titration and on the calculated molar mass of your acid
a.Reached the endpoint prior to all of the acid dissolving.
b.You stopped the titration and recorded the final buret volume when a deep
pink/red color was seen.
c.You used twice the amount of water to dissolve the acid.
**Correct answers will clearly state if the calculated molar mass is higher or lower than the correct value or if there is no effect.
2. What if the unknown acid was really a triprotic acid (three H+ ions to be donated) instead of a diprotic acid
—
a. Write the formula for the triprotic acid and a balanced equation for the titration reaction.
b. Using your experimental data from trial #2 (assuming the acid mass is really that of the triprotic acid), calculate the molar mass of the triprotic acid.
c. Compare the calculated molar masses of the triprotic acid with the diprotic acid molar mass.
3. Consult the supplemental page on Canvas with a list of possible diprotic acids. Using molar masses, what is/are the most likely identity(ies) of the unknown acid?
In: Chemistry
1. In the following observational studies, describe changes that could be made to the data collection process that would result in an experiment rather than an observation study. Also, offer suggestions about unseen biases or lurking variables that my be present in the studies as they are describe here.
a. In a sample of 50 members of a local health club you find that 12 of these members meet weekly with a physical fitness trainer and that the average body mass index (BMI) of these 12 members is less than the average BMI of the other 38 club members in your sample.
b. In a sample of 12 bank tellers at a local branch office, the 7 tellers who have completed the advanced training program offered by the bank have a lower average error rate in the processing of transactions than the remaining 5 tellers.
In: Statistics and Probability