Discrimination in Employment Act

Age Discrimination in Employment Act

This assignment will help you understand the Age Discrimination in Employment Act of 1967.

The Age Discrimination in Employment Act prohibits employment  discrimination on the basis of age for anyone over the age of 40. This  kind of legislation, like other types of anti-discriminatory  legislation, will not end all discrimination. However, such laws clearly  state society’s values.

Using the South University Online Library or the Internet, research  about the Age Discrimination in Employment Act. Based on your research,  create a 4- to 5-page paper in a Microsoft Word document that includes  answers to the following questions:

• Which demographic groups are protected by this Act?
• Which types of discrimination are prohibited under the Act?
• Is the Act still relevant for seniors today? If yes, how? If not, why not? Provide examples.
• What amendments are required to the Act as more baby boomers age?
• Has this Act affected any of the minority groups in US? If no, why not? If yes, how?

Submission Details

• Support your responses with examples.
• Cite any sources in APA format

  NURSING DUE APRIL 13, 2018. SEE ATTACHED CASE STUDY AND RUBRIC

Research a health care organization or a network that spans several states within the U.S. (Example: United Healthcare, Vanguard, Banner Healthcare, etc.).

Harvard Business Review Online and Hoover’s Company Records, found in the GCU Library, are useful sources. You may also find pertinent information on your organization’s webpage.

Review “Singapore Airlines Case Study.”

Prepare a 1,000-1250-word paper that focuses on the organization or network you have selected.

Your essay should assess the readiness of the health care organization or network in addressing the health care needs of citizens in the next decade and include a strategic plan that addresses issues pertaining to network growth, nurse staffing, resource management, and patient satisfaction. Provide a comparison to the health care organization or network and the Singapore Airlines. Include any cultural issues that may influence the practices listed above.

Prepare this assignment according to the APA guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.

Public Health Nursing: Pioneers in Health Care Reform

Read chapter 35 of the class textbook and review the attached Power Point presentation.

Once done present a 500 words essay (excluding the first and references page) discussing the contribution of the public/community health nurses in the development of the health care reform. 

Essay must be presented in an APA format word document attached to the forum in the discussion board tab title “week 15 essay”. A minimum of 3 evidence based references must be used excluding the class textbook.

For this assignment, we are going to build upon what you have learned/written from the last two
assignments (Module 6 and 7).

You will apply one of the application data tools that you were introduced to in Module 6 to a real data set to create a dash board.

You will need to go to the Kaggle web site and select on competitions:
https://www.kaggle.com/competitions

Choose any competition you like. Download the data set and use one of the tools from
the Module 6 (Micro Strategy, Tableaux, Watson), to create a dash board report.

For this assignment, you may simply present the data in a report fashion using one of
the dashboard formats from the options offered by the tools.

Comment 1

Random sampling, also known as probability sampling, requires that each member of the study population have an equal opportunity to be selected as a study subject. Selecting members of the population randomly enable members of the population to be selected equally. Random sampling enables each facet of the study population to be represented without bias (Little, 2016). For instance, a questionnaire is provided in an unsystematic way to a population so each individual in the population has a chance to submit information for that analysis. Again, many outcomes in statistics are derived from probability theory. Probability always assumes that random processes are functionally (Little, 2016). For any statistical outcomes to be valid, there is need to use samples which can be treated as random variables. Simple random samples make it easier to do that. There is less chance of results of analysis being skewed using random sampling.

However, there are limitations with random samples. It requires individuals within the population to volunteer and provides information. The people who usually participate may have the strongest opinion on the topic being analyzed. This brings the question of accuracy of the representation of such population (Little, 2016). There are two main limitations of random sampling. These are biased outcomes and laborious and time-consuming. Biased results are brought by the fact that the population of interest produces the people to be a sample. If the question is about things affecting them, they may be biased in providing information (Little, 2016). Random sampling is also time-consuming and involves a lot of things to be done hence laborious.

To have a truly random sample, one will need to have access to the target population and be able to assign each participant randomly to a condition. This is ideal since only random assignment to people by researchers before manipulation can provide causal interpretability of results (Little, 2016). To prevent problems and limitations with random sampling, there is need to ensure that you have a group which is bigger and each member has different views.

Comment 2 ( this is an answer for the teacher about my answer) concerning this  question. Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.

Thanks you Rosy for your answer. When doing statistical interpretation of any data, we always hope to achieve a good understanding of the estimated population parameters. Naturally, we do this using observed data from various samples. 

But how do you realistically determine the sample size based on confidence level?