Questions
pH Dependence of Drug Absorption lab 1. Calculate the amount of Na2HPO4 * 7H2O ( in...

pH Dependence of Drug Absorption lab

1. Calculate the amount of Na2HPO4 * 7H2O ( in grams) needed to make 50 mL of a 0.40 M solution.

2. Calculate the amounts of Na2HPO4 and NaH2PO4 (in grams) needed to prepare 200 mL of a buffer with pH=8.25 so that the sum of concentrations of HPO42- and H2PO4- ions is 0.5 M. pKa1=2.12, pKa2=7.21, pKa3= 12.38

* on this problem I think you use the Henderson-Hasselbalch equation, but after that I'm lost.

3. Write the equation for the ionization of 3-aminophenol. Would this substance be more soulble in water at pH=2 or pH= 8? Would you expect this substance to be absorbed into the blood stream in the stomach or the instestines?

4. How does the initensity of the spot on the silica sheet relate to the solubility of the drug in the aqueous phase?

Please explain the the problems!!

In: Chemistry

A community is currently being served a single self-serve gas station with six pumps. A competitor...

A community is currently being served a single self-serve gas station with six pumps. A competitor is opening a new facility with 12 pumps across town. The table below shows the travel times in minutes from the four different areas in the community to the sites and the number of customers in each area.

(a) Using the Huff retail location model and if λ = 2, calculate the probability of a customer traveling from each area to each site.

(b) Estimate the proportion of the existing market lost to the new competitor.

Travel Times to Gas Stations (in minutes)

Area Area 1 Area 2 Area 3 Area 4
Old Station 5 10 9 15
New Competitor 20 8 12 6
No. of Customers 100 150 80 50

In: Statistics and Probability

1. Which of the following is a valid alternative hypothesis for a one-sided hypothesis test about...

1. Which of the following is a valid alternative hypothesis for a one-sided hypothesis test about a population proportion p?

p = 0.6

p > 0.3

p < 0

p ≠ 0.7

2. Which of the following statements about a confidence interval is NOT true?

A confidence interval of size α indicates that there is a probability of α that the parameter of interest falls inside the interval.

A confidence interval is generally constructed by taking a point estimate plus or minus the margin of error.

A confidence interval is often more informative than a point estimate because it accounts for sampling variability.

A confidence interval provides a range of plausible values for a parameter based on the sampling distribution of a point estimator.

3.

Suppose that the sample proportion is used to construct a confidence interval for the population proportion p. Assuming that the value of is fixed, which of the following combinations of confidence levels and sample sizes yield the the widest confidence interval (that is, one with the largest range of values)?

99% confidence level, n = 500

95% confidence level, n = 500

99% confidence level, n = 50

95% confidence level, n = 50

4. Which of the following statements about hypothesis testing is true?

If the data provide sufficient evidence for the null hypothesis, then the conclusion is to reject H1.

A hypothesis test provides a plausible range of values for a parameter.

If the data provide sufficient evidence for the alternative hypothesis, then the conclusion is to reject H0.

A hypothesis test uses sample data to determine which of two competing hypotheses is true.

5.

For a test of

H0 : p = p0

vs.

H1 : p < p0,

the value of the test statistic z obs is -1.87. What is the p-value of the hypothesis test? (Express your answer as a decimal rounded to three decimal places.)

6.

A pilot survey reveals that a certain population proportion p is likely close to 0.56. For a more thorough follow-up survey, it is desired for the margin of error to be no more than 0.03 (with 95% confidence). Assuming that the data from the pilot survey are reliable, what sample size is necessary to achieve this? (Express your answer as an integer, rounded as appropriate.)

7.

Suppose that you are testing whether a coin is fair. The hypotheses for this test are

H0: p = 0.5

and

H1: p ≠ 0.5.

Which of the following would be a type I error?

Concluding that the coin is fair when in reality the coin is not fair.

Concluding that the coin is not fair when in reality the coin is fair.

Concluding that the coin is fair when in reality the coin is fair.

Concluding that the coin is not fair when in reality the coin is not fair.

8.

For a two-sided hypothesis test in which the test statistic is zobs, which of the following critical values is appropriate if a 10% significance level is desired?

1.645

1.960

2.326

2.576

9.

For a one-sided hypothesis test in which the test statistic is zobs, which of the following critical values is appropriate if a 5% significance level is desired?

1.645

1.960

2.326

2.576

10.

For a particular scenario, we wish to test the hypothesis H0 : p = 0.52. For a sample of size 50, the sample proportion is 0.42. Compute the value of the test statistic zobs. (Express your answer as a decimal rounded to two decimal places.)

In: Statistics and Probability

3. Nestlé is a manufacturer of dairy products. His administration conducted an analysis of the chocolate...

3. Nestlé is a manufacturer of dairy products. His administration conducted an analysis of the chocolate division. As part of this analysis, it has been determined that personal income, sales prices and advertising expenses are the three main variables that affect the demand for chocolates. It has been estimated that the income arc elasticity for chocolates is 1.5 and that the arc price elasticity of demand is -2.0, as well as the arc elasticity of advertising is .8

a) Using these elasticities and the data below, calculate the missing sales:

Year Income Price Advertising Sales
2016 $ 1000 $ 400 $ 120 850
2017 $ 1100 $ 400 $ 130
2018 $ 1100 $ 450 $ 140

b) The company also has information that reveals that a competitor plans to reduce the price of its chocolates from $ 500 to $ 381 a box by 2017. The marketing department has estimated that the cross elasticity between the two companies is 0.3. How will the quantity react? Nestlé defendant? (calculate)

In: Economics

1) Compared the lengths of the different Harry Potter movies and the Star Wars movies. Each...

1) Compared the lengths of the different Harry Potter movies and the Star Wars movies. Each series has 8 main movies that I will compare the lengths of. I will be testing my hypothesis that Harry Potter movies are longer than Star Wars movies.

The Harry Potter lengths in minutes are: 152, 161, 142, 157, 139, 153, 146, 130

The Star Wars lengths in minutes are: 133, 142, 140, 121, 124, 131, 138, 152

also:

2) The proportion of adults in Tennessee who are gamers is more than the proportion of adults in New York who are movie go-ers. In two independent polls, you may find that 69 out of 340 California residents are gamers and 59 out of 225 New York residents are movie go-ers.

Is there enough evidence to conclude that Tennessee residents game more than New York residents watch movies at the 0.8 significance level?

In: Math

The probability is0.45 that a traffic fatality involves an intoxicated or​ alcohol-impaired driver or nonoccupant. In...

The probability is0.45 that a traffic fatality involves an intoxicated or​ alcohol-impaired driver or nonoccupant. In

seven traffic​ fatalities, find the probability that the​ number, Y, which involve an intoxicated or​ alcohol-impaired driver or nonoccupant is

a. exactly​ three; at least​ three; at most three.

b. between two and four​, inclusive.

c. Find and interpret the mean of the random variable Y.

d. Obtain the standard deviation of Y.

In: Math

Assume that the duration of human pregnancies can be described by a Normal model with mean...

Assume that the duration of human pregnancies can be described by a Normal model with mean 268 days and standard deviation 14 days.

​a) What percentage of pregnancies should last between 274 and 281 days? (Round to two decimal places as needed.)

​b) At least how many days should the longest 25​% of all pregnancies​ last? (Round to one decimal place as needed.)

​c) Suppose a certain obstetrician is currently providing prenatal care to 58 pregnant women. Let y overbar represent the mean length of their pregnancies. According to the Central Limit​ Theorem, what's the distribution of this sample​ mean, y overbar​? Specify the​ model, mean, and standard deviation.

A. A normal model with mean ___ and standard deviation ___. (Type integers or decimals rounded to two decimal places as needed.)

B. A binomial model with ___ trials and a probability of success of ___. (Type integers or decimals rounded to two decimal places as needed.)

C. There is no model that fits this distribution.

​d) What's the probability that the mean duration of these​ patients' pregnancies will be less than

258 days?

- The probability that the mean duration of these patients' pregnancies will be less than 258 days is ___. (Round to four decimal places as needed.)

​days?

In: Statistics and Probability

The relationship between the number of beers consumed in two hours (x) and blood alcohol content...

The relationship between the number of beers consumed in two hours (x) and blood alcohol content (y) was studied in 26 male college students by using least squares regression. The students studied consumed between 1 and 4 beers in the study. The following regression equation was obtained from this study:

yˆ=−0.0127+0.0180xy^=-0.0127+0.0180x

Answer the following (each is equally weighted):

1. Identify the explanatory and response variables.

2. According to the line of best fit, what would be the predicted blood alcohol content after consuming 3 beers in two hours? Round your answer to two decimal places, as needed.

3. Would it be appropriate to use this model to predict the blood alcohol content after seven beers? Why or why not (remember to include appropriate terminology).

In: Statistics and Probability

The followings table gives information on GPAs (grade point average) and starting salaries (rounded to the...

The followings table gives information on GPAs (grade point average) and starting salaries (rounded to the nearest thousand dollars) of seven recent college graduates.  

GPA 2.90 3.81 3.20 2.42 3.94 2.05 2.25
Starting Salary 23 28 23 21 32 19 22

1) Predict the starting salary for a student graduating with a 3.60 GPA. (Enter your answer in thousands of dollars rounded to two decimal places. Such as 12,345.67)

2) Predict the starting salary for a student graduating with a 2.10 GPA. (Enter your answer in thousands of dollars rounded to two decimal places. Such as 12,345.67)

3) Predict the starting salary for a student graduating with a 3.95 GPA. (Enter your answer in thousands of dollars rounded to two decimal places. Such as 12,345.67)

In: Statistics and Probability

The followings table gives information on GPAs (grade point average) and starting salaries (rounded to the...

The followings table gives information on GPAs (grade point average) and starting salaries (rounded to the nearest thousand dollars) of seven recent college graduates.  

GPA 2.90 3.81 3.20 2.42 3.94 2.05 2.25
Starting Salary 23 28 23 21 32 19 22

1) Predict the starting salary for a student graduating with a 3.60 GPA. (Enter your answer in thousands of dollars rounded to two decimal places. Such as 12,345.67)

2) Predict the starting salary for a student graduating with a 2.10 GPA. (Enter your answer in thousands of dollars rounded to two decimal places. Such as 12,345.67)

3) Predict the starting salary for a student graduating with a 3.95 GPA. (Enter your answer in thousands of dollars rounded to two decimal places. Such as 12,345.67)

In: Statistics and Probability