1. You have an order to give Penicillin 150,000 Units (I.M.). You have a vial of Penicillin containing 3,000,000 Units in 10ml. How many ml. will you give?______ 2. The doctor orders Demerol 25 mg. (I.M.) q4h prn. You have Demerol 100mg. in 2ml. How many ml will you give? ________ 3. Your patient is to receive Digoxin 0.125 mg. On hand you have Digoxin 500 mcg in 2 ml. How many ml will you give? ______ _ 4. The drug order reads ASA gr.X q4h prn. for headache. You have ASA 325 mg tablets. How many tablets will you give? ________ 5. The doctor's order reads: Phenobarbital gr. ss (1/2) q6h. You have Phenobarbital 15 mg tablets. How many tablets will you give? ____ 6. In question #5, how many tablets will you give in 24 hours? ____ 7. The doctor orders Atropine gr. 1/200 I.M. stat. You have a vial that reads: Atropine gr. 1/150 in 2ml. How many ml will you give? ______ 8. Your patient is to receive Atropine 0.3 mg. You have Atropine 1/150 gr. in 1 ml. How many ml will you give?______ 9. The order reads: Valium 15 mg po T.I.D. The labe! reads: Valium gr. ½. How many tablets would you give in a 24-hour period? ______ 10. The doctor orders Streptomycin 400mg. The vial label reads Streptomycin 1g in 2.5ml. How many ml will you give? _

Specify whether each of the statements below is

TRUE OR FALSE

and

EXPLAIN your reasoning

.

PLEASE NOTE: NO POINTS WILL BE AWARDED IF YOU DO NOT PROVIDE AN EXPLANATION

FOR YOUR CHOICE.

a. The effects of cyclic AMP vary depending on the cell type because different cells express different

isoforms of protein kinase A (0.4 points)

b. Binding of a ligand to a receptor tyrosine kinase activates the cytosolic catalytic domain of the

receptor by inducing a conformational change across the membrane through a single

transmembrane segment. (0.4 points)

You work in a developmental biology lab that uses

Xenopus laevis

(the African clawed frog) as a

model organism. You are working on a project investigating the activity of different cadherins in cells.

You insert a transgene to express RFP-E-cadherin (red) in neural crest cells from Xenopus embryos

and GFP-N-Cadherin in a second set of neural crest cells from Xenopus embryos. These cells do not

normally express ANY cadherins. Explain the results you expect to see in the following cultures.

a. Culture A: cells that express RFP-E-cadherin (0.3 points)

b. Culture B: A mixture of cells expression RFP-E-cadherin and GFP-N-Cadherin-expressing cells

(0.4 points)

c. Culture C: cells that express RFP-E-cadherin which have been transfected with an siRNA to

knock-down the gene that codes for fibronectin (0.4 points)

d. Culture D: Cells that express GFP-N-cadherin grown in the presence of EGTA, a compound that

depletes free Ca

2+

concentration from the culture medium (0.4 points)

1. The desired percentage of Silicon Dioxide in a certain type of aluminous cement is 5.5. Sixteen independently obtained samples are analyzed, the sample statistics are: sample mean, x=5.25 and, sample standard deviation, s=0.3. We need to test if the true mean Silicon Dioxide percentage significantly differs from 5.5.

1. Write down the null and alternative hypotheses to be tested. Clearly define the terms used.

2. What is the type of statistical test procedure that should be used to test the hypotheses? Explain.

3. Construct a 95% confidence interval. Test the hypotheses using the confidence interval. Interpret the test result clearly.

4. Test the hypotheses using the Test Statistic / Critical Value method (you must clearly indicate the test statistic, and the critical value(s) use Take α=5%).

5. What is the P value of the test? Test the hypotheses using the P value. Take α=5%.

2. The Izod Impact Test was performed on 20 specimens of PVC pipe. The sample mean is 1.25 and the sample standard deviation is 0.25. We need to test if the true mean Izod impact strength is lesser than 1.5.

1. Write down the null and alternative hypotheses to be tested. Clearly define the terms used.

2. What is the type of statistical test procedure that should be used to test the hypotheses? Explain.

3. Construct a 95% confidence interval. Test the hypotheses using the confidence interval. Interpret the test result clearly

4. Test the hypotheses using the Test Statistic / Critical Value method (you must clearly indicate the test statistic, and the critical value(s) use Take α=5%).

5. What is the P value of the test? Test the hypotheses using the P value. Take α=5%.

Below you are given the first five values of a quarterly time series of sales.

21. Refer to data above. When a naïve method is used, what is the forecast on the sales in Quarter 2 of Year 2.

a. 20 b. 44 c. 27 d. 30

22. Refer to data in Q21. When a three-quarter moving average is used, what is the forecast on the sales in Quarter 2 of Year 2.

a. 20.5 b. 44.3 c. 26.7 d. 30.2

23. Refer to data in Q21. When a three-quarter weighted moving average (W1= 0.5, W2 = 0.3, and W3 = 0.2) is used, what is the forecast on the sales in Quarter 2 of Year 2. (Hint: Ft+1 = W1Dt + W2D ( t – 1) + W3D ( t – 2) )

a. 24.4 b. 30.2 c. 22.8 d. 31.2

24. Refer to data in Q21. When an exponential smoothing model is used with a smoothing parameter alpha of 0.30 and a Q1-Year 2 forecast is 20, what is the forecast on the sales in Quarter 2 of Year 2. (Hint: Ft+1 = aYt + (1 – a)Ft)

a. 27.2 b. 29.2 c. 31.2 d. 33.2

25. Refer to data in Q21. The equation for the trend line of quarterly sales is Ft = 24.4 + 1.2t. What is the forecast on the sales in Quarter 2 of Year 2. (Hint: t=1 for Q1-Year 1, 2 for Q2-year 1, and so on )

a. 31.2 b. 30.4 c. 32.2 d. 31.6

Please show how each answer was obtained. Thank you!

FINANCIAL STATEMENT ANALYSIS with R programming:

Scenario: You are a Data Scientist working for a consulting firm. One of your colleagues from the Auditing

department has asked you to help them with financial statement of their organization.

You have been supplied with two vectors of data: monthly revenue and monthly expenses for the financial

year in question.

revenue in 12 months (14574.49, 7606.46, 8611.41, 9175.41, 8058.65, 8105.44, 11496.28, 9766.09,

10305.32, 14379.96, 10713.97, 15433.50)

expenses

in 12 months (12051.82, 5695.07, 12319.20, 12089.72, 8658.57, 840.20, 3285.73, 5821.12,

6976.93, 16618.61, 10054.37, 3803.96)

=============================

Steps + sloutions:

revenue<- c(14574.49, 7606.46, 8611.41, 9175.41, 8058.65, 8105.44, 11496.28, 9766.09,10305.32, 14379.96, 10713.97, 15433.50)

expenses<- c(12051.82, 5695.07, 12319.20, 12089.72, 8658.57, 840.20, 3285.73, 5821.12,

6976.93, 16618.61, 10054.37, 3803.96)

profit for each month : profit<- revenue - expenses

- profit after tax for each month (the tax rate is 30%): ProfitAfterTax<- profit - profit *0.3

- profit margin for each month in percentage (hint: equals profit after tax divided by revenue): ProfitMargin<- round(profitAfterTax / revenue, 2) * 100

==================================

- good months - where the profit after tax was greater than the mean for the year (mean is computed with mean function as mean(x/n)) (5 points)

- bad months - where the profit after tax was less than the mean for the year (5 points)

- the best month - where the profit after tax was max for the year (5 points)

- the worst month - where the profit after tax was min for the year (5 points)

Hints: round() mean() max() min()

Silver Lining Inc. has a balanced scorecard with a strategy map that shows that delivery time and the number of erroneous shipments are expected to affect the company’s ability to satisfy the customer. Further, the strategy map for the balanced scorecard shows that the hours from ordered to delivered affects the percentage of customers who shop again, and the number of erroneous shipments affects the online customer satisfaction rating. The following information is also available:

• The company’s target hours from ordered to delivered is 40.
• Every hour over the ordered-to-delivered target results in a 0.5% decrease in the percentage of customers who shop again.
• The company’s target number of erroneous shipments per year is no more than 65.
• Every error over the erroneous shipments target results in a 0.5 point decrease in the online customer satisfaction rating and an added future financial loss of $500.
• The company estimates that for every 1% decrease in the percentage of customers who shop again, future profit decreases by $4,000 and market share decreases by 0.3%.
• The company also estimates that for every 1 point decrease in the overall online customer satisfaction rating (on a scale of 1 to 10), future profit decreases by $3,000 and market share decreases by 0.6%.

Using these estimates, determine how much future profit and future market share will change if:

• Average hours from ordered to shipped is 27.5.
• Average shipping time (hours from shipped to delivered) is 16.3.
• Number of erroneous shipments is 80.

a) Total decrease in future profit $

Round your answer to two decimal places.

b) Total decrease in future market share %

A sample of 31 people took a written driver’s license exam. Two variables were measured on them: The result of the exam (0 = fail, 1 = pass), and how much time (in hours) the person studied for the exam. Using the data, fit an appropriate regression model to determine whether time spent studying is a useful predictor of the chance of passing the exam. Formally assess the overall fit of the model. Formally assess whether time spent studying is a useful predictor (as always, providing numerical justification (test statistic and P-value) for your conclusion). Carefully interpret what the estimated model tells you about how the chance of passing the exam changes as the time spent studying changes. A prospective examinee named Matthew spent 3.0 hours studying for his written exam. Estimate (with a point estimate and with a 90% interval) his probability of passing the exam. Based on this estimate, predict whether he will pass or fail.

SAS code:

DATA three;
INPUT result hours;
/* result=0 is fail; result=1 is pass */
cards;
0 0.8
0 1.6
0 1.4
1 2.3
1 1.4
1 3.2
0 0.3
1 1.7
0 1.8
1 2.7
0 0.6
0 1.1
1 2.1
1 2.8
1 3.4
1 3.6
0 1.7
1 0.9
1 2.2
1 3.1
0 1.4
1 1.9
0 0.4
0 1.6
1 2.5
1 3.2
1 1.7
1 1.9
0 2.2
0 1.3
1 1.5
;
run;

(20.44) Cola makers test new recipes for loss of sweetness during storage. Trained tasters rate the sweetness before and after storage. Here are the sweetness losses ( sweetness before storage minus sweetness after storage) found by 10 tasters for one new cola recipe:

2 0.3 0.6 2.1 -0.4 2.2 -1.3 1.2 1.1 2.2

Take the data from these 10 carefully trained tasters as an SRS from a large population of all trained tasters. Is there evidence at the 5% level that the cola lost sweetness? If the cola has not lost sweetness, the ratings after should be the same as before it was stored.

The test statisic is t = ___ (±0.001)

No Yes .

There is evidence that cytotoxic T lymphocytes (T cells) participate in controlling tumor growth and that they can be harnessed to use the body's immune system to treat cancer. One study investigated the use of a T cell-engaging antibody, blinatumomab, to recruit T cells to control tumor growth. The data below are T cell counts (1000 per microliter) at baseline (beginning of the study) and after 20 days on blinatumomab for 6 subjects in the study. The difference (after 20 days minus baseline) is the response variable.

Baseline 0.04 0.02 0 0.02 0.31 0.29

After 20 days 0.18 0.27 1.2 0.05 1.02 0.34

Difference 0.14 0.25 1.2 0.03 0.71 0.05

Do the data give evidence at the 4 % level that the mean count of T cells is higher after 20 days on blinatumomab? The test statistic is

t =____ (±0.001)

Yes No

can you please show how to get the T on a TI-84.

MC0102: A student has a nickel, dime, quarter, and half-dollar (yes - let's just pretend) in her pocket. If she pulls 3 coins out of her pocket without replacement, what is the sample space of simple events? Assume that the order that she pulls out the coins does not matter (so pulling N, D, Q is the same as pulling Q, D, N, etc.). N=Nickel, D=Dime, Q=Quarter, and H=Half-dollar.