Category: Solved Questions

Discussion 2: Your work on the new student committee was a huge success!

Your work on the new student committee was a huge success! The director of new student recruitment has requested that you continue your work on the committee. Specifically, the director would like you to distribute a small survey to the students who attended the weekend event, gauging their level of interest in studying at UMGC. The director is interested in obtaining demographic information from the prospective students, the academic program into which they would enroll, and their overall level of interest in attending UMGC. The survey questions and results are below:

 

Survey questions given to prospective students 

  • What is your age?
  • Would you live in on-campus housing or off-campus housing?
  • Into which academic program would you enroll?
  • How likely are you to attend UMGC in the next year? (rate 1-4, 1 is not likely and 4 is very likely)

  

 

Student

Age

Housing

Academic Program

Likely to attend UMGC

1

18

Off campus

Political science

4

2

19

Off campus

History

1

3

17

On campus

Cybersecurity

2

4

30

Off campus

Nursing

4

5

18

On campus

History

3

6

21

On campus

Psychology

4

7

45

Off campus

Business

2

8

20

On campus

Business

3

9

18

On campus

Accounting

4

10

36

Off campus

Nursing

4

11

25

Off campus

History

2

12

29

Off campus

Sociology

2

13

31

Off campus

Spanish

2

14

19

On campus

Psychology

2

 

Your first task is to define the data resulting from each survey question as qualitative or quantitative.  If the variable is qualitative, indicate if it is nominal or ordinal.  If it is quantitative, indicate whether it is discrete or continuous and whether it is interval or ratio (see graphic below).

 

 

Next, create a table (a frequency distribution, stem and leaf plot, or a grouped frequency distribution) to organize the data from one of the variables.  Does including the relative frequency or cumulative frequency make the table more meaningful? Why do you feel this table best organizes the data? Include the table in your post.

Then, consider how you might visually display the results as a graph (bar graph, Pareto chart, dot plot, line graph, histogram, pie chart, or box plot). Why did you choose this graph? Explain why you believe this graph is the best choice to display the data. Include the graph in your post.

Finally, find the mean, median and mode for one of the variables. Which of these measures of central tendency do you think is the best choice for “average” and why? Find the range and standard deviation (measures of dispersion) for the variable. What would a narrower or wider deviation signify in the context of this data?

 

Your initial post to the discussion (covering the 4 tasks above) is due by 11:59 pm EST on Saturday.

Consider the graphs/charts and measures of central tendency and dispersion that your peers have chosen. Do they align with your choices? Discuss at least one benefit of your peer’s choices. Can you share a recommendation to improve their choices? At least one substantive peer reply post is due by 11:59 pm EST on Tuesday.

WEEK 3 DISCUSSION: Probability tells us the chance or likelihood that a particular event will occur.

Probability tells us the chance or likelihood that a particular event will occur. Whether or not we realize it, every day we use probability to make decisions. For instance, when deciding whether to take an umbrella, we check the weather forecast to see the probability that it will rain. In this instance, probability tells us the likelihood that it will rain; however, the decision about taking an umbrella is based on an individual’s willingness to risk getting rained on. Some people will take an umbrella, when the probability of rain is at least 40%, while others will wait until the probability is at least 60%.

What are two examples in which you have used probability to make a decision? One example should be from your personal life and one from your work life. If you do not work, show two examples from your personal life. Provide specific numeric values to show how the decision was made. Share this in your initial post to the discussion, which is due by 11:59 pm EST on Saturday.

Review the examples provided by the other members of the class. Make at least one substantive peer reply post by 11:59 pm EST on Tuesday.

WEEK 4 DISCUSSION – By now you are adept at calculating averages and intuitively can estimate whether something is “normal”

By now you are adept at calculating averages and intuitively can estimate whether something is “normal” (a measurement not too far from average) or unusual (pretty far from the average you might expect). This class helps to quantify exactly how far something you measure is from average using the normal distribution. Basically, you mark the mean down the middle of the bell curve, calculate the standard deviation of your sample and then add (or subtract) that value to come up with the mile markers (z scores) that measure the distance from the mean.

For example, if the average height of adult males in the United States is 69 inches with a standard deviation of 3 inches, we could create the graph below.

WEEK 5 DISCUSSION – Reflect on your course experience thus far.

Now that we are at the midpoint of the course, it is important to pause and reflect on your course experience thus far. In your initial reply, answer the following questions:

1. What are you doing to help yourself learn in this class that you are going to keep doing because it’s working?

2. What are you doing that is hindering you from learning in this class that you are going to quit doing?

3. What do you think will help you improve your learning in this class that you are going to start doing?

 

This serves as your initial post to the discussion and is due by 11:59 pm EST on Saturday.

Discuss your responses with your peers. What new tips or strategies did your peers recommend that you will use for the remainder of the class? Make at least one substantive peer reply post by 11:59 pm EST on Tuesday.

WEEK 8 DISCUSSION/WEEK 7 DISCUSSION/WEEK 6 DISCUSSION

WEEK 8 DISCUSSION

Think back to week 1 of the course when you joined the fictional committee to assist prospective students interested in your program. One student had asked how statistics was used in your field, and you did an online search to identify 3 examples. Now that we have wrapped up the course, consider how you would change your response to the student. Reflecting on the content topics that you have learned, what are 3 additional ways in which statistics is used in your field?

After posting your initial reply (due by 11:59 pm EST on Saturday), make at least one substantive peer reply post by 11:59 pm EST on Tuesday.

WEEK 7 DISCUSSION

Choose either topic #1 or topic #2 for your initial post. Respond to either for your peer reply post.

Topic 1:

One goal of statistics is to identify relations among variables. What happens to one variable as another variable changes? Does a change in one variable cause a change in another variable? These questions can lead to powerful methods of predicting future values through linear regression.

It is important to note the true meaning and scope of correlation, which is the nature of the relation between two variables. Correlation does not allow to say that there is any causal link between the two variables. In other words, we cannot say that one variable causes another; however, it is not uncommon to see such use in the news media. An example is shown below.

WEEK 6 DISCUSSION

Choose either topic #1 or topic #2 for your initial post. Respond to either for your peer reply post. 

Topic 1:

Results from surveys or opinion polls often report a range of values—the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval).  This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle “truth” area we will accept versus the dubious tail area we will reject–also known as alpha (α).  The more confidence we wish to have—the more middle ground we will need to accept (more wiggle room) thus a smaller tail area.  If we insist on a larger alpha (more dubious tail area) we narrow the middle ground we will accept and thus provide less wiggle room—so the more likely it is that we will miss the true average (and thus we have a lower confidence level).  A 95% confidence level leaves 5% alpha.  A 99% confidence level leaves 1% alpha.

Now, without calculating a mean or margin of error or a confidence level, provide an example from your current (or your future) professional or personal life that describes a measurement that is normal—and how much wiggle room on either side would be appropriate.  When would you want a 95% confidence interval and when would you be interested in a 99% confidence level (a little more wiggle room—so a wider range)? This serves as your initial post to the discussion (if you choose topic #1) and is due by 11:59 pm EST on Saturday.

-OR-

Topic 2:

Two or more samples are often compared when we suspect that there are differences between the groups—for example, are cancer rates higher in one town than another, or are test scores higher in one class than another? In your chosen field, when might you want to know the mean differences between two or more groups? Please describe the situation (what groups, what measurements) including how and why it would be used. This serves as your initial post to the discussion (if you choose topic #2) and is due by 11:59 pm EST on Saturday.

At least one substantive peer reply post is due by 11:59 pm EST on Tuesday.

Students will research and prepare written briefs of significant court cases.

In this course, students will research and prepare written briefs of significant court cases. Briefs should include a discussion of the connection between the court findings and the Saint Leo Core Value of Integrity.

 

Select one of the following and write a case brief:

 

    • Katz v. U.S.
    • U.S. v. White
    • California v. Hodari D.
    • Miranda v. Arizona  
    • Berkemer, Sheriff of Franklin County v. McCarty  
    • Chimel v. California
    • Knowles v. Iowa
    • Illnois v. Rodriguez

 

For guidelines in writing and formatting the case brief, please refer to the sample case brief.

A grading rubric is available in Doc Sharing.

Firstly, to discuss how national regulations and policies impact our day-to-day lives. Secondly, to bring awareness to our varied regional cultures.

Although we are all in different locations/cultures, we are all strongly impacted by national policies such as The Health Information Technology for Economic and Clinical Health (HITECH) Act. We want to know about your “organization” or “unit” in the organization. Your organization can be defined in various ways. It might be where you work; it might be a local medical center, hospital, or clinic; or it might be where you have done a practicum. Be cognizant of avoiding identifiers of your organization. Most organizations desire that this information is kept internal.

Discussion Guidelines

The goal of this discussion is twofold: Firstly, to discuss how national regulations and policies impact our day-to-day lives. Secondly, to bring awareness to our varied regional cultures.

Initial Post

For this Bongo discussion, you are to:

  1. Briefly describe how a key program of HITECH act, the Medicaid Electronic Health Record (EHR) Incentive Program (meaningful use ([MU]), has impacted your organization).
  2. Share how MU has impacted your practice. Has it supported patient engagement in your own environment?
  3. Include a visual, not of you, but of the outside of the organization you have chosen to discuss.
    1. You may use images or video—your choice.
    2. It would be best to avoid signs that identify the organization.
    3. Show us the size of the buildings, parking lots, and the building’s surrounding area.
    4. You may want to show us the landscape between yourself and this organization.

Assignment 7.1: Public Service Announcement (PSA)

Assignment Guidelines

Discussion 6.1: Health Disparities and Culture

Discussion Guidelines

Initial Post

Choose one of the articles from the Centers for Disease Control and Prevention: Strategies for Reducing Health Disparities — Selected CDC-Sponsored Interventions, United States, 2016 (PDF) (Links to an external site.).

Answer the following questions:

  • Provide the title of the article you selected and a brief overview.
  • Describe the health disparity and the vulnerable population.
  • What social determinants to health contribute to the health disparity?
  • Briefly describe the prevention intervention (primary, secondary or tertiary) for the targeted population.
  • What additional intervention might you add that would specifically address cultural issues?

Response Post(s)

Reply to posts that did not select the same article you discussed.

Assignment 5.1: Communicable Disease Transmission Cycle

Assignment Guidelines

  1. Choose either Option A OR B.
  2. Write a 350- to 500-word paper (excluding title page and references).
  3. Use APA Manual, 7th Edition, for writing and format style.
  4. Use a minimum of two resources.

Option A

  1. Select a communicable disease and describe the six factors involved in the cycle of transmission:
    1. The infectious agent
    2. Reservoir
    3. Route of exit
    4. Mode of transmission
    5. Route of entry
    6. Susceptible host
  2. Describe how the various chains are broken for effective control and prevention.

Option B

  1. Select a non-communicable disease and describe the occurrence of the disease utilizing the epidemiological triangle (refer back to Chapter 3 in your textbook):
    1. Agent
    2. Host
    3. Environment
  2. Describe how the various chains are broken for effective control and prevention.