Discuss protein binding, what it means, what are the implications of a drug protein binding percentage and how the protein binding impacts how drugs may interact with each other and the subsequent effect on the patient (provide 2 explicit examples). And, then explain what will happen if the patient is malnourished.

what are ED50 , LD50, TD50: and explain in detail why the matter. Please give 2 examples of each.

Air is a mixture of gases with the following mass percentage composition: 75.52% N2, 23.15% O2, 1.28% Ar, and 0.046% CO2.

A. What are the partial pressures of N2, O2, Ar, and CO2 when the total pressure is 1.100 atm?

B. Calculate the molar Gibbs energy of mixing of air at 25C assuming ideal gas behavior.

C. Determine the molar enthalpy of mixing and the molar entropy of mixing for air at 1.100 atm and 25C.

D. Is the mixing of pure gases to form air spontaneous? How does the total pressure affect spontaneity of gas mixing?

An air-conditioned room is to be maintained at 18oC, percentage saturation 40%. The fabric heat gains are 3000 W and there are a maximum of 20 people in the room at any time. Neglecting all other heat gains or losses calculate the required volume flow rate of air to be supplied to the room and its percentage saturation when the air supply temperature is 10oC. (Sensible heat gains per person = 100 W; latent heat gains per person = 30W; barometric pressure = 1.01325 bar)

Need explanation how these values are found using algebra, answers needing to be a percentage; "r" is the forward rate:  

1 year coupon: $97=100/(1+r₁)¹

2 year coupon: $94= 100/(1+r₂)²

3 year coupon: $93= 100/(1+r₃)³

4 year coupon: $90= 100/(1+r₄)⁴

The U.S. Census Bureau conducts annual surveys to obtain information on the percentage of the voting-age population that is registered to vote. Suppose that 581581 employed persons and 485 unemployed persons are independently and randomly selected, and that 374 of the employed persons and 232 of the unemployed persons have registered to vote. Can we conclude that the percentage of employed workers ( p1 ), who have registered to vote, exceeds the percentage of unemployed workers ( p2 ), who have registered to vote? Use a significance level of α=0.05 for the test.

Step 1 of 6 :  

State the null and alternative hypotheses for the test.

Step 2 of 6: Find the values of the two sample proportions, pˆ1and pˆ2. Round your answers to three decimal places.

Step 3 of 6: Compute the weighted estimate of p, ‾p. Round your answer to three decimal places.

Step 4 of 6: Compute the value of the test statistic. Round your answer to two decimal places.

Step 5 of 6: Determine the decision rule for rejecting the null hypothesis H₀. Round the numerical portion of your answer to three decimal places.

Step 6 of 6: Make the decision for the hypothesis test.

Let x be a random variable representing percentage change in neighborhood population in the past few years, and let y be a random variable representing crime rate (crimes per 1000 population). A random sample of six Denver neighborhoods gave the following information.

In this setting we have Σx = 71, Σy = 588, Σx² = 1233, Σy² = 70,612, and Σxy = 9041.

(e) For a neighborhood with x = 17% change in population in the past few years, predict the change in the crime rate (per 1000 residents). (Round your answer to one decimal place.)
crimes per 1000 residents

(f) Find S_e. (Round your answer to three decimal places.)
S_e =  

(g) Find an 80% confidence interval for the change in crime rate when the percentage change in population is x = 17%. (Round your answers to one decimal place.)

(h) Test the claim that the slope β of the population least-squares line is not zero at the 1% level of significance. (Round your test statistic to three decimal places.)

t =

Find or estimate the P-value of the test statistic.

P-value > 0.2500.125 < P-value < 0.250     0.100 < P-value < 0.1250.075 < P-value < 0.1000.050 < P-value < 0.0750.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.0100.0005 < P-value < 0.005P-value < 0.0005

Conclusion

Reject the null hypothesis, there is sufficient evidence that β differs from 0.Reject the null hypothesis, there is insufficient evidence that β differs from 0.     Fail to reject the null hypothesis, there is sufficient evidence that β differs from 0.Fail to reject the null hypothesis, there is insufficient evidence that β differs from 0.

(i) Find an 80% confidence interval for β and interpret its meaning. (Round your answers to three decimal places.)

Interpretation

For every percentage point increase in population, the crime rate per 1,000 increases by an amount that falls outside the confidence interval.For every percentage point decrease in population, the crime rate per 1,000 increases by an amount that falls within the confidence interval.     For every percentage point increase in population, the crime rate per 1,000 increases by an amount that falls within the confidence interval.For every percentage point decrease in population, the crime rate per 1,000 increases by an amount that falls outside the confidence interval.

Arundel Company uses percentage of sales to estimate uncollectibles.  At the end of the fiscal year, December 31, 2018, Accounts Receivable has a balance of $78,000 and had a total of $810,000 in credit sales. Arundel assumes that 2.0% of sales will eventually be uncollectible. before adjustment, the Allowance for Uncollectible Accounts had a credit balance of 6,000. What dollar amount should be credited to Allowance for Uncollectible Accounts at year end?

A researcher wishes to estimate the percentage of adults who support abolishing the penny. What size sample should be obtained if he wishes the estimate to be within

3 percentage points with 99% confidence if

​(a) he uses a previous estimate of

25%?

​(b) he does not use any prior​ estimates?

Operating leverage refers to the use of fixed costs to increase percentage changes in operating income when sales volume changes.

True

False