Currently, among the 20 individuals of a population, 2 have a certain infection that spreads as follows: Contacts between two members of the population occur in accordance with a Poisson process having rate ?. When a contact occurs, it is equally likely to involve any of the possible pairs of individuals in the population. If a contact involves an infected and a non-infected individual, then, with probability p the non-infected individual becomes infected. Once infected, an individual remains infected throughout. Let ?(?) denote the number of infected members of the population at time t. Considering the current time as t = 0, we want to model this process as a continuous-time Markov chain.

(a) What is the state space of this process?

(b) What is the probability that an infected person contacts a non-infected person?

(c) What is the rate at which an infected person contacts a non-infected person (we denoted this type of contact by I-N contact) when there are X infected people in the population?

(d) Is the inter-contact time between two I-N contacts exponentially distributed? Why?

(e) Compute the expected time until all members of the considered population are infected.

The below is for a hypothetical study demonstrating the application of the concepts for superiority and non-inferiority testing.

A study investigated a new agent for the treatment of arthritis. Participants were randomized to receive either the current widely used (and effective) treatment or to the new experimental treatment. After 3 weeks they recorded if, based on a clinical assessment, there were improvements in symptoms (recorded as yes/no). Because of the potential large impact of age the investigators used a multiple regression model to test for differences adjusting for age. (Technically since the outcome is binary they used what is called a logistic regression model, but the analytic approach is the same.) Investigators want to test if the new treatment is non-inferior to the current treatment. Treatment is coded as 0=usual treatment and 1=new treatment so that a positive coefficient represents greater improvement with the new treatment. The study was done on a large sample and you may use the normal distribution for testing coefficients. Prior to testing the investigators selected (+/-) 0.40 for the non-inferiority parameter (delta).

A. Based on the above table, what is the 95% confidence interval for the coefficient for the treatment effect (beta1)?

B. Is the p-value for testing the superiority of the new treatment greater than or less than 0.05?

C. What can you conclude from the above analyses concerning the superiority of the new treatment?

D. Using the above non-inferiority parameter, what can the investigators conclude about the non-inferiority of the new treatment? Justify your response.

Three Rivers Inc. provides cable TV and Internet service to the local community. The activities and activity costs of Three Rivers are identified as follows:

a. Identify the cost of quality classification for each activity and whether the activity is value-added or non-value-added.

b. Prepare a cost of quality report. Assume that sales are $3,040,000. If required, round percentages to one decimal place.

c. Prepare a value-added/non-value-added analysis.

d. What percentage of total costs of quality are considered to be value-added?

Wilson and Sons Corp. has bought a prime parcel of beachfront property and plans to build a luxury hotel. After meeting with the architectural team, the Wilson family has drawn up some information to make preliminary plans for construction. Excluding the suites, which are not part of this decision, the hotel will have four kinds of rooms: beachfront non-smoking, beachfront smoking, lagoon view non-smoking, and lagoon view smoking. In order to decide how many of each of the four kinds of rooms to plan for, the Wilson family will consider the following information.

• After adjusting for expected occupancy, the average nightly revenue for a beachfront non-smoking room is $175. The average nightly revenue for a lagoon view non-smoking room is $130. Smokers will be charged an extra $15.
• Construction costs vary. The cost estimate for a lagoon view room is $12,000 and for a beachfront room is $15,000. Air purifying systems and additional smoke detectors and sprinklers add $3000 to the cost of any smoking room. Wilson and Sons Corp. has raised $6.3 million in construction guarantees for this portion of the building.
• There will be at least 100 but no more than 180 beachfront rooms.
• Design considerations require that the number of lagoon view rooms be at least 50% more than beachfront rooms but no more than 150% of beachfront rooms.
• Industry trends recommend that the number of non-smoking rooms be at least 50% more the number of smoking rooms.

Formulate a linear programming model to maximize revenue and solve in Excel.

Include in your answer the:

1. Model
2. Excel input
3. Answer report
4. Description of the optimal solution

Three Rivers Inc. provides cable TV and Internet service to the local community. The activities and activity costs of Three Rivers are identified as follows: a. Identify the cost of quality classification for each activity and whether the activity is value-added or non-value-added. Quality Control Activities Activity Cost Quality Cost Classification Value-Added/ Non-Value-Added Classification Billing error correction $24,800 Cable signal testing 69,000 Reinstalling service (installed incorrectly the first time) 53,400 Repairing satellite equipment 18,400 Repairing underground cable connections to the customer 16,100 Replacing old technology cable with higher quality cable 104,300 Replacing old technology signal switches with higher quality switches 119,200 Responding to customer home repair requests 29,900 Training employees 24,900 Total activity cost $460,000 b. Prepare a cost of quality report. Assume that sales are $2,300,000. If required, round percentages to one decimal place. Three Rivers Inc. Cost of Quality Report Quality Cost Classification Quality Cost Percent of Total Quality Cost Percent of Total Sales Prevention $ % % Appraisal % % Internal failure % % External failure % % Total $ % % c. Prepare a value-added/non-value-added analysis. Three Rivers Inc. Value-Added/Non-Value-Added Activity Analysis Category Amount Percent Value-added $ % Non-value-added % Total $ % d. What percentage of total costs of quality are considered to be value-added?

1. The entry to record interest expense on a bank loan payable is a

2.Which of the following statements is true?

3.Roofer’s Inc. had an operating line of credit of $100,000 and overdrew its bank balance to result in a negative cash balance of $33,000 at year-end. This would be reported in the statement of financial position as

4.Which of the following statements is true?

Persons having Raynaud's syndrome are apt to suffer a sudden impairment of blood circulation in fingers and toes. In an experiment to study the extent of this impairment, each subject immersed a forefinger in water and the resulting heat output (cal/cm²/min) was measured. For m = 10 subjects with the syndrome, the average heat output was x = 0.61, and for n = 10 nonsufferers, the average output was 2.08. Let μ₁ and μ₂ denote the true average heat outputs for the sufferers and nonsufferers, respectively. Assume that the two distributions of heat output are normal with σ₁ = 0.3 and σ₂ = 0.5.

(a) Consider testing H₀: μ₁ − μ₂ = −1.0 versus H_a: μ₁ − μ₂ < −1.0 at level 0.01. Describe in words what H_a says, and then carry out the test.

H_a says that the average heat output for sufferers is the same as that of non-sufferers.H_a says that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers.    H_a says that the average heat output for sufferers is more than 1 cal/cm²/min below that of non-sufferers.

Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)

State the conclusion in the problem context.

Fail to reject H₀. The data suggests that the average heat output for sufferers is less than 1 cal/cm²/min below that of non-sufferers.Fail to reject H₀. The data suggests that the average heat output for sufferers is the same as that of non-sufferers.    Reject H₀. The data suggests that the average heat output for sufferers is more than 1 cal/cm²/min below that of non-sufferers.Reject H₀. The data suggests that the average heat output for sufferers is the same as that of non-sufferers.

(b) What is the probability of a type II error when the actual difference between μ₁ and μ₂ is

μ₁ − μ₂ = −1.5?

(Round your answer to four decimal places.)


(c) Assuming that m = n, what sample sizes are required to ensure that β = 0.1 when

μ₁ − μ₂ = −1.5?

(Round your answer up to the nearest whole number.)
subjects

It is generally accepted that patients grow anxious when a person with a white coat and stethoscope walks into an examining room; i.e., patients have white coat hypertension. A family practitioner hypothesizes the opposite effect. To test this, the practitioner has colleagues from the practice randomly visit patients in a white coat or non-white sport coat, and measure their blood pressure. What can the practitioner conclude with an α of 0.05? Below are the systolic blood pressures of the patients.

a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test

b)
Condition 1:
---Select--- examining room white coat hypertension non-white coat white coat blood pressure
Condition 2:
---Select--- examining room white coat hypertension non-white coat white coat blood pressure

c) Compute the appropriate test statistic(s) to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
p-value =  ; Decision:  ---Select--- Reject H0 Fail to reject H0

d) compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d =  ;   ---Select--- na trivial effect small effect medium effect large effect
r² =  ;   ---Select--- na trivial effect small effect medium effect large effect

e) Make an interpretation based on the results.

The systolic blood pressure for patients that where visited by a practitioner with a white coat was significantly higher from patients that were visited by a practitioner in a non-white sport coat.

The systolic blood pressure for patients that where visited by a practitioner with a white coat was significantly lower from patients that were visited by a practitioner in a non-white sport coat.    

The systolic blood pressure for patients that where visited by a practitioner with a white coat did not significantly differ from patients that were visited by a practitioner in a non-white sport coat.

1. Use SQL to create a polyinstantiated table including a primary key and a unique constraint

2.Use SQL to insert multiple records for each security classification with the same ID. You must have 4 classifications.

3.Use SQL to create 4 schemas, one for each security classification 4.Use SQL to create a view in each schema that restricts the records to those belonging to a particular security classification and restricts the columns to only those columns that have relevant data.

5.Select from each of the views. Take a screen shot of the query results for each user(total of 4 for this step).

6.Use SQL to create 4 logins, one for eachsecurity classification

7.Use SQL to create 4 database users, one for each login with a default schema that matches the security classification for the login.

8.Use SQL to create 4 roles at the database level, one for each security classification.

9.Use SQL to assign each user to its specific role.

10.Use SQL to grant select on the appropriate view to the roles.

11.Execute tests as each of the four users, trying to select from their respective views. Take a screen shot of the query results for each user(total of 4 for this step).

12.Use SQL to revoke select on the view from the role

13.Use SQL to remove the users from the role

14.Use SQL to drop the users

15.Use SQL to drop the logins

16.Use SQL to drop the roles1

7.Use SQL to drop the views

18.Use SQL to drop the schemas

19.Use SQL to drop the table

Can you please type, I will rate you well! Thank you!

In this activity, you will be devising a Data Collection plan that describes how information on each asset will be collected.

Develop a Data Collection plan that can be used to perform Data Collection on the different assets in the Action Forensics organization. As you develop this plan you will have to make decisions based on your understanding of how the company works. Do not worry that you are making a wrong decision. For example, you may decide the owner of the 50 TB SAN is the network technician instead of the evidence custodian, or even one or more of the forensic investigators. What is important is that you document your reason for choosing one owner over another.

Based on your understanding of Action Forensics, identify what might be collected in the following areas:

• Listings of Enterprise Applications
• Listings of Databases
• Software Inventory
• Hardware Inventory
• System Diagrams
• Technical Design Documents

For each item that you identify, decide which of the following specific items should be collected:

• Asset Name
• System Name
• Description of the System
• Hostnames or IP Address
• Vendor, if any
• System Owner
• Technical Support Contact
• Department that uses the Asset
• Description of Data
• Classification of Data
• Number of Records

Decide which of the following specific items should be collected for an application:

• Operating System
• Database

Decide which of the following specific items should be collected for a database:

• Operating System
• Applications Supported

Remember, the object of this activity is to develop the Data Collection plan, not to actually collect the data. Keep in mind that someone who has never performed Data Collection should be able to follow your plan with a minimum of questions