In: Physics
This is a BUSI ESS/HEALTHCARE ADMINISTRATION class
Regardless of the race, creed or color, every human being wonders about this fact of death. Scientific research has discussed that approximately 20,000 to 30,000 deaths are due to lack of health care insurance.
What are the factors involved in the under insurance or individuals with no insurance more likely to die.
Provide significant discussion information with APA citations for quotes or paraphrases and provide the research link that you have used to help you understand the question.
In: Operations Management
You are the human resource manager for a 300-employee insurance company, and you would like to start a new employee orientation program. To get approval from the company’s senior managers, you develop a plan that outlines the reasons for conducting orientation and what content the program will include. In this plan, you will need to:
1. Identify the reasons and purpose for conducting employee orientation.
2. Outline what would be covered in organizational and departmental orientation.
3. Indicate the length of the program, who will conduct it, and what formats will be used.
4. Describe if and how you would incorporate a Web-based component into the program.
In: Operations Management
A very large trial was conducted to combat the Human Papillomavirus (HPV) on 402,245 consenting adults. 201,867 of the patients were given an experimental vaccine (the treatment group), and 200,378 of them were administered placebos (the placebo group). In the treatment group 41 people contracted HPV, and in the placebo group 124 people contracted HPV. a) Use a 5% significance level to test the claim that this vaccine is effective, and b) create a confidence interval for testing. (Follow all 5 steps in directions.) Note: all requirements are met - the sample proportions are from two independent, simple random samples, and there are at least five successes and five failures.
In: Statistics and Probability
Fitt's Law. A robust and highly adopted model of human movement is Fitt's Law. According to Fitt's Law, the time T required to move and select a target of width W that lies at a distance (or amplitude) A is
T = a + b log2(2A/W)
where a and b are constants estimated using simple linear regression. The quantity log2(2A/W) is termed the Index of Difficulty (ID) and represents the independent variable (measured in "bits") in the model. Research reported in the Special Interest Group on Computer-Human Interaction Bulletin (July 1993) used Fitt's Law to model the time (in milliseconds) required to perform a certain task on a computer. Based on data collected for n=160 trials (using different values of A and W), the following least-squares prediction was obtained:
That = 175.4 + 133.2(ID)
a. Interpret the estimates, 175.4 and 133.2.
b. The coefficient of correlation for the analysis is r = .951. Interpret this value.
c. Conduct a test to determine whether the Fitt's Law model is statistically adequate for predicting performance time. Use alpha = .05. (SPECIFICALLY, I WOULD LIKE AN EXPLANATION OF WHAT TO DO WHEN THE CRITICAL VALUE FOR THE STUDENT'S T IS NOT GIVEN IN THE TABLE WHEN THE DEGREES OF FREEDOM (FOR THIS PROBLEM)=n-2=160-2=158. THE t-DISTRIBUTION TABLE STOPS AT 120 FOR DEGREES OF FREEDOM.)
d. Calculate the coefficient of determination, r2. Interpret the result.
In: Statistics and Probability
Fitt's Law. A robust and highly adopted model of human movement is Fitt's Law. According to Fitt's Law, the time T required to move and select a target of width W that lies at a distance (or amplitude) A is
T = a + b log2(2A/W)
where a and b are constants estimated using simple linear regression. The quantity log2(2A/W) is termed the Index of Difficulty (ID) and represents the independent variable (measured in "bits") in the model. Research reported in the Special Interest Group on Computer-Human Interaction Bulletin (July 1993) used Fitt's Law to model the time (in milliseconds) required to perform a certain task on a computer. Based on data collected for n=160 trials (using different values of A and W), the following least-squares prediction was obtained:
That = 175.4 + 133.2(ID)
a. Interpret the estimates, 175.4 and 133.2.
b. The coefficient of correlation for the analysis is r = .951. Interpret this value.
c. Conduct a test to determine whether the Fitt's Law model is statistically adequate for predicting performance time. Use alpha = .05. (SPECIFICALLY, I WOULD LIKE AN EXPLANATION OF WHAT TO DO WHEN THE CRITICAL VALUE FOR THE STUDENT'S T IS NOT GIVEN IN THE TABLE WHEN THE DEGREES OF FREEDOM (FOR THIS PROBLEM)=n-2=160-2=158. THE t-DISTRIBUTION TABLE STOPS AT 120 FOR DEGREES OF FREEDOM.)
d. Calculate the coefficient of determination, r2. Interpret the result.
In: Statistics and Probability
a. sex linkage.
b. the Barr phenomenon.
c. sex limitation.
d. genetic/genomic imprinting.
e. linkage.
a. Mendel.
b. Thomas Morgan.
c. Emil Krebs.
d. Walther Flemming.
e. Alfred Sturtevant.
In: Biology
Over the past year, the vice president for human resources at a large medical center has run a series of three-month workshops aimed at increasing worker motivation and performance. To check the effectiveness of the workshops, she selected a random sample of 35 employees from the personnel files. She collected the employee performance ratings recorded before and after workshop attendance and stored the paired ratings on sheet Ratings.
Compute descriptive statistics and perform a paired ttest.
State your findings and conclusions in a report to the vice president for human resources.
| Before | After |
| 59 | 72 |
| 72 | 74 |
| 89 | 62 |
| 67 | 74 |
| 81 | 78 |
| 88 | 86 |
| 71 | 81 |
| 67 | 72 |
| 78 | 77 |
| 64 | 85 |
| 72 | 80 |
| 89 | 80 |
| 87 | 76 |
| 69 | 86 |
| 61 | 84 |
| 82 | 80 |
| 82 | 87 |
| 65 | 82 |
| 80 | 76 |
| 70 | 80 |
| 76 | 79 |
| 78 | 88 |
| 77 | 83 |
| 74 | 83 |
| 63 | 81 |
| 62 | 76 |
| 84 | 79 |
| 71 | 81 |
| 68 | 86 |
| 88 | 89 |
| 73 | 75 |
| 77 | 71 |
| 83 | 78 |
| 82 | 78 |
| 60 | 94 |
Thank you!
In: Statistics and Probability
2. A psychologist studying the human factors of computer keyboards set up an experiment to compare two different keyboard designs. He measures the number of words per minute typed by one randomly selected group on Keyboard A and then he measures the number of words typed per minute by another randomly selected group of people on Keyboard B. Use the data below to determine if the typing speeds on the two different keyboards are significantly different.
|
Keyboard A (words per minute) |
Keyboard B (words per minute) |
|
47,51,54,62,44,51,48,65,42,44,71,68 |
68,39,52,33,55,58,67,62,61,49,44,49 |
A. What type of analysis will be appropriate for this data? Why?
(2 points)
B. Calculate the summary statistics and check assumptions. (4
points)
C. Perform the appropriate hypothesis test showing all steps. (10
points)
D. Verify your conclusion in part C by building a 95% confidence
interval for the difference of the means. (4 points)
In: Statistics and Probability
The human resources department needs to forecast the number of sexual harassement investigations for the entire company. The data for several months is supplied below. Be careful since the data is listed beginning with the most recent. The forecasting method to be used here is the 4 month weighted moving average adjusting for seasonality where the weights, starting with the most recent time period, are 0.4, 0.3, 0.2, 0.1. Again, you must find the seasonality factors for the data. Please round your forecast to the nearest whole number.
| Apr 2020: 11 | Mar 2020: 10 | Feb 2020: 18 | Jan 2020: 13 | Dec 2019: 11 | Nov 2019: 17 |
| Oct 2019: 14 | Sep 2019: 15 | Aug 2019: 17 | Jul 2019: 16 | Jun 2019: 15 | May 2019: 16 |
| Apr 2019: 15 | Mar 2019: 16 | Feb 2019: 14 | Jan 2019: 11 | Dec 2018: 18 | Nov 2018: 14 |
| Oct 2018: 12 | Sep 2018: 15 | Aug 2018: 13 | Jul 2018: 17 | Jun 2018: 11 | May 2018: 17 |
| Apr 2018: 18 | Mar 2018: 13 |
In: Statistics and Probability