Cnl 500 Case Study Analysisclient Nameanaclient Age24genderfpresent ✓ Solved

CNL-500 Case Study Analysis Client Name: Ana Client age: 24 Gender: F Presenting Problem Client states, “I recently lost my job and feel hopeless. I can’t sleep and don’t feel like eating.†Client also reports she has lost 10 pounds during the last two months. Client states that she is a solo parent and is worried about becoming homeless. Client states, “I worry all the time. I can’t get my brain to shut off.

My husband is in the military and currently serving in an overseas combat zone for the next eight months. I worry about him all the time.†Behavioral Observations Client arrived 30 minutes early for her appointment. Client stated that she had never been in counseling before. Client depressed and anxious, as evidenced by shaking hands and tearfulness as she filled out her intake paperwork. Ana made little eye contact as she described what brought her into treatment.

Client speech was halting. Client affect flat. Client appeared willing to commit to eight sessions of treatment authorized by her insurance company. General Background Client is a 24-year-old first-generation immigrant from Guatemala. Ana was furloughed from her job as a loan officer at local bank three months ago.

Client reported that she was from a wealthy family in Guatemala, but does not want to ask for help. Client speaks fluent Spanish. Education Client has completed one year of college with a major in business. Client states that she left college after her son was born as she found it difficult to manage a baby, college, and a full-time job. Family Background Client is the middle of four siblings.

Client has two older brothers and one younger sister. Client’s parents have been married for 27 years. Client states that she has had a “close†relationship with her family, although she states that her father is a “heavy drinker.†Client states that all her brothers and sisters have graduated from college and have professional careers. Client states that her father is a banker and her mother is an educator. Client states that she has not seen her family for 1 year.

Client has a 1-year-old son and states that she is sometimes “overwhelmed†by raising him alone. Major Stressors · Lack of family and supportive friends · Financial problems due to job loss · Husband deployed overseas · Raising a baby by herself © 2017. Grand Canyon University. All Rights Reserved. Topic 1 - Health & Nursing Health Services and Nursing Scenario Topic 1 Predicting Expected Medicare Payers Scenario 1 Review data of the expected payers that used Medicare between 2003 and 2014.

Predict the percentage of expected payers that will use Medicare in 2018. Year County Zip Code Medicare payers 2003 Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Humbolt Topic 2 - Criminal Justice Security and Criminal Justice Scenario Topic 2 Predicting Total U.S. correctional population Scenario 2 Review the data on persons supervised by U.S. adult correctional systems by correctional status. Predict the number of the United States population that will be supervised by U.S. adult correctional system in 2018. Year Total U.S. correctional population Probation Parole ,467,,839,,,584,,934,,,730,,995,,,886,,073,,,997,,140,,,055,,162,,,199,,236,,,339,,293,,,313,,270,,,235,,196,,,086,,053,,,989,,969,,,945,,940,,,903,,910,,,851,,864,,900 Topic 3 - Hum. & Sciences Humanities and Sciences Scenario Topic 3 Predicted College Tuition and Fees Scenario 3 Review college data of the yearly tuition and fees.

Predict the cost of yearly tuition and fees in 2018. Year Yearly Tuition Books & Supplies Living Costs Yearly Tuition and Fees 2015 ,450 ,250 ,400 , ,444 ,038 ,292 , ,288 1 ,542 , ,245 2 ,261 , ,412 5 ,532 , ,984 0 ,899 , ,618 ,200 ,682 , ,153 6 ,016 , ,937 7 ,803 , ,658 3 ,183 , ,549 9 ,771 , ,435 2 ,256 ,415 Topic 4 - Social Sciences Social Sciences Scenario Topic 4 Predicting Teen Communication Preferences Scenario 4 Review the data on communication preferences with teens. Predict how many high school teens will prefer to use face-to-face communication in 2018. Year Communication Preference Age School Level Number of Teens 2000 Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS Face to Face Teen HS 5 Logarithmic Regression Number of Teens Year Number of Teens Topic 5 - Business Business Scenario Topic 5 Predicting Tires Purchased Scenario 5 Review the yearly data involving tires purchased at a tire shop with declining business.

Predict how many tires will need to be in stock to have available for the customers in 2018. Year Tires Purchased Wheels Purchased Lugnuts Purchased ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,028 Topic 6 - Education Education Scenario Topic 6 Predicting SAT Test Scores Scenario 6 Review the data on the average SAT scores of college-bound seniors between 2002 and 2015. Predict the average SAT scores of college-bound seniors in 2018. Average SAT Mathematics of college-bound seniors Year All students Average White Black Mexican American Puerto Rican Other Hispanic Asian/Pacific Islander American Indian/Alaska Native Quantitative Reasoning II Project Quantitative Reasoning II Project MTH 216 Quantitative Reasoning II Project Kenneth Steele Jr.

Professor Steven Shepard University of Phoenix PREDICTED COLLEGE TUITION AND FEES IN HUMANITIES AND SCIENCES SCENARIO VISUAL 1 R2 0.712 and is close to 1. This explains that the model is a good fit for the data. It is 3 years to 2018 from 2015 Therefore, the predicted tuition and fees for 2016 is Y=1813.1x-4e+06 Replacing x with 3 gives