Materials:
Reaction Buffer 0.5 M Tris HCl pH 8.0 with 5 mM MgCl2
Alkaline phosphatase: 500 μg/mL stock solution in the buffer above. Keep enzyme on ice!
p-nitrophenyl phosphate: 1000 μM and 10000 μM stock solutions in reaction buffer
1) Using the enzyme stock solution above and the dilution equation, calculate the volumes needed to prepare 2 mL of three enzyme dilutions consisting of 100 μg/mL, 125 μg/mL, and 150 μg/mL. Use the reaction buffer to make these dilutions.
2) Calculate the amount of substrate needed for each of the following concentrations 10 μM, 25 μM, 50 μM, 100 μM, 200 μM, 500 μM, 1000 μM, and 2000 μM using the two stock solution concentrations listed above. Use the 1000 μM stock solution to calculate dilutions from 10-200 μM and the 10,000 μM stock solution to calculate from 500 μM-2000 μM. The final volume is 1.0 mL (or 1000 μL) for each dilution. Also calculate the volume of buffer needed, given that we will add 100 μL of the enzyme solution and the final volume is 1.0 mL (or 1000 μL) for each dilution.
In: Chemistry
Four separate graphs please.
b) Repeat a) for improved technology which results in increased productivity?
X 10 $5 $6
Y 20 $10 $10
Z 5 $6 $10
Show all calculations for full credit.
b) In a given year, there are 10 million unemployed workers and 120 employed workers the country of Landia. Calculate the unemployment rate in Landia.
120/10,000,000 = 0.0012%
1-0.0012 = 0.9988
0.9988*100 = 99.88
Unemployment rate = 99.88%
Show all your calculations for full credit.
In: Economics
The index of industrial production ( t IP ) is a monthly time series that measures the quantity of industrial commodities produced in a given month. Suppose that an analyst has data on this index for the United States. The analyst begins by computing Y subscript t = 1200 X ln IP subscript t / IP subscript t-1 , which gives the monthly percentage change in IP measured in percentage points at an annual rate. The analyst estimates an AR(4) model for industrial production growth and then augments that model with four lagged values of ?Rt , where Rt is the interest rate on three-month U.S. Treasury bills (measured in percentage points at an annual rate). All regressions are estimated over the sample period 1960:1 through 2000:12 (that is, January 1960 through December 2000). (a) The Granger causality F statistic on the four lags of ?Rt is 2.35. Do interest rates help to predict IP growth? Explain your answer. 2 (b) The analyst also regresses ?Rt on a constant, four lags of ?Rt , and four lags of IP growth. The resulting Granger causality F statistic on the four lags of IP growth is 2.87. Does IP growth help to predict interest rates? Explain your answer.
In: Economics
Question 1: Problem solving
A handicraft products trader is selling leather cases for $40 the unit. To run his business, he needs to pay $10000 for rent, $5000 salaries, and another $5000 for marketing campaigns. The handicraft trader has the choice to import his products from different countries, and it will cost him $20 per unit if the product comes from China, $25 per unit if the product comes from India, and $15 per unit if the product comes from Malaysia.
Questions:
In: Economics
|
Year |
Real Price |
|
1995 |
$112 |
|
2000 |
$131 |
|
2007 |
$148 |
|
2011 |
$179 |
In: Economics
For each of the questions below, a histogram is described. Indicate in each case whether, in view of the Central Limit Theorem, you can be confident that the histogram would look like approximately a bell-shaped (normal) curve, and give a brief explanation why (one sentence is probably sufficient).
1. The price of one gallon of gasoline at a particular gas station is recorded every day of the year, and the 365 values are plotted in a histogram.
2. Two hundred students in a statistics class each flip a coin 40 times and record the number of heads. The numbers of heads are plotted in a histogram.
3. Two hundred students in a statistics each roll a die 60 times and record the sum of the numbers they got on the 60 rolls. They make a histogram of the 200 sums.
4. One thousand randomly chosen people report their annual salaries, and these salaries are plotted in a histogram.
5. The day before an election, fifty different polling organizations each sample 2000 people and record the percentage who say they will vote for the Democratic candidate. The 50 values are plotted in a histogram.
6. The fifty polling organizations also record the average age of the 2000 people in their sample, and the 50 averages are plotted in a histogram.
7. One hundred batteries are tested, and the lifetimes of the batteries are plotted in a histogram.
In: Math
Below are data for countries with fast and slow growth rates over two different time periods. Construct a bar chart for each country in both categories. In other words, you will end up with four different bar charts, two for each of the two categories of the countries representing both time periods.
| Country | Average Growth Rate of Real GDP 1990–2000 | Average Growth Rate of Real GDP 2000–2008 |
| Fast Growth Club (5% or more per year in both time periods) | ||
| Cambodia | 7.10% | 9.10% |
| China | 10.60% | 9.90% |
| India | 6.00% | 7.10% |
| Ireland | 7.50% | 5.10% |
| Jordan | 5.00% | 6.30% |
| Laos | 6.50% | 6.80% |
| Mozambique | 6.40% | 7.30% |
| Sudan | 5.40% | 7.30% |
| Uganda | 7.10% | 7.30% |
| Vietnam | 7.90% | 7.30% |
| Slow Growth Club (2% or less per year in both time periods) | ||
| Central African Republic | 2.00% | 0.80% |
| France | 2.00% | 1.80% |
| Germany | 1.80% | 1.30% |
| Guinea-Bissau | 1.20% | 0.20% |
| Haiti | –1.5% | 0.30% |
| Italy | 1.60% | 1.20% |
| Jamaica | 0.90% | 1.40% |
| Japan | 1.30% | 1.30% |
| Switzerland | 1.00% | 2.00% |
| United States (for reference) | 3.20% | 2.20% |
| World Overview | ||
| High income | 2.70% | 2.30% |
| Low income | 3.80% | 5.60% |
| Middle income | 4.70% | 6.10% |
In: Economics
Item Base Year 2000 1990 cost 2017 cost
Refrigerator $800 $600 $1000
Washers $450 $300 $600
Stoves $350 $200 $500
In: Economics
1)
Annual sales (=demand), D = 4000 sets
Order cost, S = $ 25
Holding cost, H = $ 5
Current order quantity, Q = D/2 = 4000/2 = 2000 sets
Optimal order quantity, EOQ = sqrt(2DS/H)
= sqrt(2*4000*25/5)
= 200 sets
Annual holding cost of current policy = H*Q/2
= 5*2000/2
= $ 5000
Annual holding cost of optimal policy = H*EOQ/2
= 5*200/2
= $ 500
Difference in holding costs = 5000 - 500
= $ 4,500
2) A distribution center operates for a major electronics company that fulfills orders that customers make from the website. (15 pts.)
Estimated annual demand: 16,936 laptops (50 weeks per year)
Cost: $840 per laptop
Lead Time: 5 weeks
Standard deviation of weekly demand: laptops
Standard deviation of lead time: 0.9 weeks
Holding cost per unit per year: 60% of item cost
Ordering cost: $37 per order
Desired service level: 98% (z=2.05)
***Calculate the reorder point and the safety stock? Note that you need to convert the annual demand to weekly demand based on 50 wks/yr.
In: Operations Management
A) Suppose owls is a MATLAB array with 251 rows and 51 columns representing the number of owls counted in the 251 counties in Texas had over the years 1960-2010. Write code to define a MATLAB variable to find the median number of owls counted in each county.
B) Suppose cattle is a MATLAB array with 251 rows and 51 columns representing the number of cattle in the 251 counties in Texas had over the years 1950-2000. Write code to define a MATLAB variable that contains the median number of cattle counted each year.
C) Suppose the Texas Department of Public Health is tracking the number of tuberculosis deaths in an array (TBDeaths, 30 by 48), representing the number of new tuberculosis related deaths in the 30 least populous counties (in order low to high) in Texas over the years 1960-2017. Write code to define a MATLAB variable that contains the overall minimum number of TB deaths cases in these counties during the recording period.
D) Suppose the Texas Department of Motor Vehicles is tracking the number of car, truck and motorcycle (respectively) crashes in Texas over the years 2000 to 2019 in an array TXCrash (3 x 20).
Write code to define a MATLAB variable that contains the number of
truck crashes for the year 2019.
In: Computer Science