The Heart Association plans t install a free blood pressure testing booth at the Palouse mall for a week. Previous experience indicates that, on average, 10 persons per hour request a test and the arrivals are Poisson distributed from an infinite population. Blood pressure measurements are exponential with an average time of 5 minutes per exam.
a) What is the average number of people in line (2 pts)?
b) What is the average number of people in the system (2 pts)?
c) What is the average amount of time a person can expect to spend in line (2 pts)?
d) What is the average amount of time it will take to measure a person’s blood pressure, including waiting in line (2 pts)?
e) What is the probability of having 3 people in line (2 pts)
In: Operations Management
A salesperson must buy a number of products from a supplier each Monday, to sell them through the week, which ends on Friday. The salesperson wants to maximize profits, but the number of products sold each week is a random variable. However, the analysis of past year’s data shows the distribution of weekly demand shown in the table below.
|
Demand per week |
Probability |
|
200 |
15% |
|
250 |
25% |
|
300 |
20% |
|
350 |
35% |
|
400 |
05% |
One product cost the salesperson $4.00, which is sold for $8.00. At the end of the week, any unsold product (it’s perishable) are returned to the supplier for a credit of $1.00.
In: Operations Management
Month: Radiology Tests: Total Costs:
January 2,800 $133,500
February 2,600 $135,060
March 3,100 $175,000
April 3,500 $170,600
May 3,400 $176,900
June 3,700 $186,600
July 3,840 $174,450
August 4,100 $195,510
September 3,450 $15,300
1. Compute the cost formula for radiology services using the method of least square
2. Using the formula computed in requirement 1, what is the predicted cost of radiology services for October for 3,500 appointments? (Round the answer to the nearest dollar)
3. What does the coefficient of determination tell you about the cost formula computed in requirement 1? What are the t statistics for the number of tests and the intercept term? What do these statistics tell you about the choice of number of tests as the independent variable and the probability that there are fixed costs?
In: Accounting
| Stock Fund | Bond Fund | ||
| Scenario | Probability | Rate of Return | Rate of Return |
| Severe recession | 0.05 | −38% | −14% |
| Mild recession | 0.25 | −6% | 10% |
| Normal growth | 0.45 | 16% | 4% |
| Boom | 0.25 | 40% | 4% |
| b. |
Calculate the values of expected return and variance for the stock fund. (Do not round intermediate calculations. Enter "Expected return" value as a percentage rounded to 1 decimal place and "Variance" as decimal number rounded to 4 decimal places.) |
| Expected return | % |
| Variance | |
| c. |
Calculate the value of the covariance between the stock and bond funds. (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Enter your answer as a decimal number rounded to 4 decimal places.) |
| Covariance |
In: Finance
|
Consider the following table: |
| Stock Fund | Bond Fund | ||
| Scenario | Probability | Rate of Return | Rate of Return |
| Severe recession | 0.05 | −38% | −8% |
| Mild recession | 0.25 | −16% | 8% |
| Normal growth | 0.40 | 18% | 5% |
| Boom | 0.30 | 32% | −5% |
| b. |
Calculate the values of expected return and variance for the stock fund. (Do not round intermediate calculations. Enter "Expected return" value as a percentage rounded to 1 decimal place and "Variance" as decimal number rounded to 4 decimal places.) |
| Expected return | % |
| Variance | |
| c. |
Calculate the value of the covariance between the stock and bond funds. (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Enter your answer as a decimal number rounded to 4 decimal places.) |
| Covariance |
In: Finance
Please read the question carefully and then provide the answer thanks.
Discussion Topic
Choose a TCP/IP service, such as a web browser, email, file transfer, remote shell, DHCP, DNS, network time protocol, network address translation, etc.
Important!
In your original post, answer the following about the service you have chosen:
Success Hints
You can use ipconfig if you use the command line.
You can use whatismyipaddress.com if you have connectivity on your devices.
Success Hint
You can use ping on your computers. How would you do it on your mobile devices?)
In: Computer Science
Network Reconfiguration
Reconfigure the network in the file provided. Then submit a PNG or
PDF file of your updated network diagram and show screenshot
evidence that the project requirements for the following critical
elements:
A. Properly configure the VLAN for guest and video connections to
meet the project requirements. Submit a screenshot of the VLAN
table. [CYB-210-01]
B. Properly configure the guest wireless network to meet the
project requirements. Submit a screenshot of the wireless settings
for the wireless router. [CYB-210-03]
C. Make sure that devices are connected to the guest wireless
network to meet the project requirements. IP addresses for the
devices should be noted in the network diagram PNG or PDF.
D. Make sure that cameras are connected to the video network to
meet the project requirements. IP addresses for the cameras should
be noted in the network diagram PNG or PDF.
E. Make sure that guest and video networks are properly segmented.
Submit screenshots of ping tests that prove you have met this
project requirement. [CYB-210-01]
II. Explanation of Network Segregation
Articulate a response to the questions below.
A. Describe how I segmented the network traffic to meet the project
requirements for guest and video connections. [CYB-210-01]
B. Explain how I considered the scalability of the guest wireless
network in order to meet the project requirements (IP addressing,
leasing, etc.). [CYB-210-01]
In: Computer Science
| R | R Square | Adjusted R Square | Std. Error of the Estimate | |
| .28 | .08 | .07 | 1.39 |
| Sum of Squares | df | Mean Square | F | Sig. | ||
|---|---|---|---|---|---|---|
| Regression | 99.37 | 4 | 24.84 | 12.87 | .000 | |
| Residual | 1163.52 | 603 | 1.93 | |||
| Total | 1262.89 | 607 |
| Unstandardized Coefficients | Standardized Coefficients | 95% Confidence Interval for B | ||||||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | t | Sig. | Lower Bound | Upper Bound | ||
| (Constant) | .58 | 7294153.92 | .00 | .00 | 1.000 | -14325031.14 | 14325032.29 | |
| Year of birth | .00 | 3618.13 | .00 | .00 | 1.000 | -7105.67 | 7105.67 | |
| Age of respondent | .03 | 3618.13 | .27 | .00 | 1.000 | -7105.64 | 7105.70 | |
| General happiness | .17 | .10 | .07 | 1.78 | .076 | -.02 | .37 | |
| Respondents sex | -.14 | .11 | -.05 | -1.20 | .230 | -.36 | .09 | |
| Model | Year of birth | Age of respondent | General happiness | Respondents sex | ||
|---|---|---|---|---|---|---|
| Covariances | Age of respondent | 13090878.47 | 13090878.47 | .00 | ||
| General happiness | 13090878.47 | 13090878.47 | .00 | |||
| Respondents sex | .00 | .00 | .01 | |||
| R | R Square | Adjusted R Square | Std. Error of the Estimate | |
| .27 | .07 | .06 | 5.41 |
| Sum of Squares | df | Mean Square | F | Sig. | ||
|---|---|---|---|---|---|---|
| Regression | 1336.59 | 4 | 334.15 | 11.44 | .000 | |
| Residual | 17619.40 | 603 | 29.22 | |||
| Total | 18955.99 | 607 |
| Unstandardized Coefficients | Standardized Coefficients | 95% Confidence Interval for B | ||||||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | t | Sig. | Lower Bound | Upper Bound | ||
| (Constant) | 47.84 | 28384680.13 | .00 | .00 | 1.000 | -55744792.19 | 55744887.87 | |
| Year of birth | -.01 | 14079.70 | -.03 | .00 | 1.000 | -27651.22 | 27651.20 | |
| Age of respondent | .00 | 14079.70 | .00 | .00 | 1.000 | -27651.21 | 27651.21 | |
| General happiness | -1.16 | .38 | -.12 | -3.03 | .003 | -1.90 | -.41 | |
| Respondents sex | -2.66 | .44 | -.24 | -6.06 | .000 | -3.52 | -1.80 | |
| Model | Year of birth | Age of respondent | General happiness | Respondents sex | ||
|---|---|---|---|---|---|---|
| Covariances | Age of respondent | 198238020.98 | 198238020.98 | .00 | ||
| General happiness | 198238020.98 | 198238020.98 | .00 | |||
| Respondents sex | .00 | .00 | .15 | |||
| R | R Square | Adjusted R Square | Std. Error of the Estimate | |
| .17 | .03 | .02 | 1.58 |
| Sum of Squares | df | Mean Square | F | Sig. | ||
|---|---|---|---|---|---|---|
| Regression | 43.78 | 4 | 10.95 | 4.40 | .002 | |
| Residual | 1501.69 | 603 | 2.49 | |||
| Total | 1545.47 | 607 |
| Unstandardized Coefficients | Standardized Coefficients | 95% Confidence Interval for B | ||||||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | t | Sig. | Lower Bound | Upper Bound | ||
| (Constant) | .38 | 8286643.39 | .00 | .00 | 1.000 | -16274187.25 | 16274188.00 | |
| Year of birth | .00 | 4110.44 | .00 | .00 | 1.000 | -8072.51 | 8072.51 | |
| Age of respondent | .02 | 4110.44 | .17 | .00 | 1.000 | -8072.49 | 8072.53 | |
| General happiness | .00 | .11 | .00 | .02 | .987 | -.22 | .22 | |
| Respondents sex | -.07 | .13 | -.02 | -.52 | .606 | -.32 | .19 | |
| Model | Year of birth | Age of respondent | General happiness | Respondents sex | ||
|---|---|---|---|---|---|---|
| Covariances | Age of respondent | 16895702.12 | 16895702.12 | .00 | ||
| General happiness | 16895702.12 | 16895702.12 | .00 | |||
| Respondents sex | .00 | .00 | .01 | |||
| R | R Square | Adjusted R Square | Std. Error of the Estimate | |
| .05 | .00 | .00 | .50 |
| Sum of Squares | df | Mean Square | F | Sig. | ||
|---|---|---|---|---|---|---|
| Regression | .40 | 4 | .10 | .40 | .809 | |
| Residual | 150.80 | 603 | .25 | |||
| Total | 151.20 | 607 |
| Unstandardized Coefficients | Standardized Coefficients | 95% Confidence Interval for B | ||||||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | Beta | t | Sig. | Lower Bound | Upper Bound | ||
| (Constant) | .45 | 2626004.47 | .00 | .00 | 1.000 | -5157225.15 | 5157226.05 | |
| Year of birth | .00 | 1302.58 | .02 | .00 | 1.000 | -2558.15 | 2558.15 | |
| Age of respondent | .00 | 1302.58 | -.01 | .00 | 1.000 | -2558.15 | 2558.15 | |
| General happiness | -.02 | .04 | -.03 | -.66 | .510 | -.09 | .05 | |
| Respondents sex | -.03 | .04 | -.03 | -.82 | .411 | -.11 | .05 | |
| Model | Year of birth | Age of respondent | General happiness | Respondents sex | ||
|---|---|---|---|---|---|---|
| Covariances | Age of respondent | 1696718.78 | 1696718.78 | .00 | ||
| General happiness | 1696718.78 | 1696718.78 | .00 | |||
| Respondents sex | .00 | .00 | .00 | |||
In: Statistics and Probability
|
Probability |
Expected Return |
|
0.3 |
-10% |
|
0.4 |
5% |
|
0.3 |
15% |
If IBM has the probability distribution shown in the table above, what is IBM’s standard deviation?
In: Finance
Probability Expected Return
0.3 -10%
0.4 5%
0.3 15%
If IBM has the probability distribution shown in the table above, what is IBM’s expected return?
In: Finance