Questions
Present value.  Two rival football fans have made the following​ wager: if one​ fan's college football...

Present value.  Two rival football fans have made the following​ wager: if one​ fan's college football team wins the conference title​ outright, the other fan will donate ​$2000 to the winning school. Both schools have had relatively unsuccessful​ teams, but are improving each season. If the two fans must put up their potential donation today and the discount rate is 7.5​% for the​ funds, what is the required upfront deposit if we expect a team to win the conference title in 5 ​years?  10 ​years?  15 ​years? What is the required upfront deposit if we expect a team to win the conference title in 5 ​years? ​(Round to the nearest​ cent.)

In: Finance

1. a nurse is admitting a child who has bacterial meningitis. which of the following actions...

1. a nurse is admitting a child who has bacterial meningitis. which of the following actions should the nurse take first?

a. initiate antibiotic therapy for the child.

b. minimize the child's environmental stimuli.

c. place the child in a side-lying position.

d. administer pain medication to the child.

2. a nurse is caring for a school age child who has metastatic osteosarcoma. the child asks the nurse, "am I going to die?" which of the following responses should the nurse make?

a. what is your pain level right now?

b. your doctor will be able to answer your questions tomorrow.

c. it sounds like you are worried. tell me what you have been told.

d. it's natural to worry about death, but you should focus your energy on getting better.

​​​​​​​3. a nurse is teaching a school-age child and their parents about managing diabetes mellitus during illness. the nurse should determine that the teaching has been effective when the parents indicate they will provide which of the following when the child is ill?

a. decreased calories.

b. increased fluids.

c. blood glucose monitoring every 8 hours.

d. urine testing for leukocytes.

4. a nurse is creating a plan of care for a child who is awake and responsive following an acute head injury. which of the following interventions should the nurse include?

a. place the child in a room with bright fluorescent lighting.

b. initiate seizure precautions for the child.

c. use the COMFORT scale to rate the child's pain.

d. suction the child's nares to determine the presence of fluid.

In: Nursing

The table below gives the number of hours spent unsupervised each day as well as the...

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Hours unsupervised Overall Grades
o 96
0.5 82
1 81
2 78
2.5 63
3.5 62
4.5 61
Step 1 of 6:

Find the estimated slope. Round your answer to three decimal places.

Step 2 of 6:

Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6:

Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.

Step 4 of 6:

Find the estimated value of y when x=3.5x=3.5. Round your answer to three decimal places.

Step 5 of 6:

Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable yˆy^.yˆ

Step 6 of 6:

Find the value of the coefficient of determination. Round your answer to three decimal places

In: Statistics and Probability

Assignment #6: Testing Correlations Directions: Use the Bivatiate Correlation function and the Options submenu to answer...

Assignment #6: Testing Correlations Directions: Use the Bivatiate Correlation function and the Options submenu to answer each of the questions based on the above scenario. The superintendent has continued the examination of data by examining the relationship between attendance rate and percent of students eligible for free or reduced priced lunch. The district data used for the analysis are contained below.

School 1 2 3 4 5 6 7 8 9 10 11  % Free or Reduced 70.4 49.4 58.9 65.1 50.5 58.9 32.7 55.8 59.7 65.4 53.8  Attendance Rate  93.3 93.7 95.6 93.6 94.6 94.6 95.7 92.3 94.3 91.8 95.3

School 12 13 14 15 16 17 18 19 20 21 22 % Free or Reduced 60.0 50.8 50.8 74.9 60.7 55.5 52.8 52.4 57.9 71.7 58.0  Attendance Rate 93.6 94.5 94.9 91.4 93.2 93.5 94.0 94.8 94.5 93.0 95.8

1. What is the mean percent of students receiving free or reduced lunch? What is the mean attendance rate? 2. What are the standard deviations for the percent of students receiving free or reduced lunch and attendance rate? 3. State an appropriate null hypothesis for this analysis. 4. What is the value of the correlation coefficient? 5. Based on the value of the correlation coefficient, how would you classify the strength of this relationship? 6. Based on the information from the scenario, what is the appropriate value for the degrees of freedom? 7. What is the reported level of significance? 8. Present the results as they might appear in an article.

I also need to know how to input the information into a SPSS Calculator

In: Statistics and Probability

1. Blood Pressures. Among human females, systolic blood pressure (measured in mmHg) is normally distributed, with...

1. Blood Pressures. Among human females, systolic blood pressure (measured in mmHg) is normally distributed, with a mean of and a standard deviation of 06.3, μ = 1 .9. σ = 8 a. Connie’s blood pressure is 117.4 mmHg. Calculate the z-score for her blood pressure.

b. Mark Connie’s x-value and z-score (as well as the mean) in the correct locations on the graph. c. Interpret the meaning of Connie’s z-score value. 2. Finding raw values from z-scores. California condors are among the largest birds in North America, with wingspans of around 10 feet. Among the California condor population, let’s suppose that wingspans are normally distributed, with a mean of 106 inches, and a standard deviation of 5 inches. The California condor pictured has a wingspan corresponding to a z-score of -0.6. Determine the condor’s actual wingspan in inches; show your work. Place the z-score and x-value for the condor’s wingspan on the graph, along with the mean.

3. Using z-Scores to Compare Data from Different Distributions. Before applying to law school in the US students need to take the LSAT. Before applying to medical school, students need to take the MCAT. Here are some summaries for each (both are normally distributed): the Mean Standard deviation LSAT 51 μ = 1 0 σ = 1 MCAT 5.1 μ = 2 .4 σ = 6 Juwan took both. He scored 172 on the LSAT and 37 on the MCAT. On which the did he do relatively better compared to other test takers? Justify your answer below; show your work and explain your reasoning. LSAT Scores MCAT Scores

In: Statistics and Probability

Interpret and summerize the data below Employment By Gender Early Childhood Educators and Assistants (Unit 4214)...

Interpret and summerize the data below

Employment By Gender Early Childhood Educators and Assistants (Unit 4214) All Occupations

Males

3.5%

51.9%

Females

96.5%

43.1%

Employment By Age Early Childhood Educators and Assistants (Unit 4214) All Occupations

15-24 years

8.5%

13.3%

25-44 years

57.3%

42.7%

45-64 years

33.1%

41.1%

65 years and over

1.1%

2.8%

Employment By Status Early Childhood Educators and Assistants (Unit 4214) All Occupations

Full-Time

81.9%

81.2%

Part-Time

18.1%

18.6%

Employment By Annual Income Early Childhood Educators and Assistants (Unit 4214) All Occupations

Annual Average Income

$25,800

$50,300

$0 - $19,000

35.8%

13.3%

$20,000 - $49,000

60.4%

48.0%

$50,000 and over

3.7%

38.8%

Employment By Highest Level of Education Early Childhood Educators and Assistants (Unit 4214) All Occupations

Less than High-School

9.0%

12.1%

High-School

17.2%

20.3%

Post-Secondary

60.1%

44.2%

Bachelors

13.7%

23.4%

Other Employment Distribution Early Childhood Educators and Assistants (Unit 4214) All Occupations

Self-Employment

22.5%

10.7%

Immigrants

18.9%

13.7%

Labour Market Indicators Early Childhood Educators and Assistants (Unit 4214) All Occupations

Average Employment, 2010-2012

81.750

3,951,050

Employment Insurance Claimants in 2012

600

87,600

Average Annual Growth Rate, 2013-2017

1.5%

0.8%

Yearly Variation in Employment, 2013-2017

1,300

33,400

Annual Attrition, 2013-2017

1,000

73,500

Total Annual Needs, 2013-2017

2,300

106,900

In: Statistics and Probability

The following table shows how variables were stated on the survey: Variable Name Survey Question Age...

The following table shows how variables were stated on the survey:

Variable Name

Survey Question

Age when first married

What was your age in years when you were first married?

______ years

degree

What is your highest educational degree that you have obtained?

______ Don’t know

______ Less than high school

______ High school degree

______ Junior college degree

______ Bachelors degree

______ Graduate degree

gender

What is your gender?

______ Male

______ Female

The score will be evaluated according to the following criteria:

1. Five points are given for selecting the correct cases.           

2. Five points are given for choosing the appropriate central tendency and variability.

3. Five points are given for the use of SPSS.

4. Five points are given for presenting an appropriate graph.

5. Five points are given for stating appropriately verbal description.

Name:

Score:

  1. What is the educational level of the respondents whose ages are between 24 (included) and 35 (included) years old? (25 points)

1. Indicate the conditional expression which you use to select cases.

2. Run SPSS to obtain the statistics and a graph (bar charts, pie charts, histograms, tables, etc.) for each question.

3. State your findings (only the salient points of the data) in words.

2. What are the ages when first married of the male respondents? (25 points)

1. Indicate the conditional expression which you use to select cases.

2. Run SPSS to obtain the statistics and a graph (bar charts, pie charts, histograms, tables, etc.) for each question.

3. State your findings (only the salient points of the data) in words.

In: Statistics and Probability

Read the statistical data and discuss your thoughts on the comparison. Employment By Gender Early Childhood...

Read the statistical data and discuss your thoughts on the comparison.

Employment By Gender Early Childhood Educators and Assistants (Unit 4214) All Occupations

Males

3.5%

51.9%

Females

96.5%

43.1%

Employment By Age Early Childhood Educators and Assistants (Unit 4214) All Occupations

15-24 years

8.5%

13.3%

25-44 years

57.3%

42.7%

45-64 years

33.1%

41.1%

65 years and over

1.1%

2.8%

Employment By Status Early Childhood Educators and Assistants (Unit 4214) All Occupations

Full-Time

81.9%

81.2%

Part-Time

18.1%

18.6%

Employment By Annual Income Early Childhood Educators and Assistants (Unit 4214) All Occupations

Annual Average Income

$25,800

$50,300

$0 - $19,000

35.8%

13.3%

$20,000 - $49,000

60.4%

48.0%

$50,000 and over

3.7%

38.8%

Employment By Highest Level of Education Early Childhood Educators and Assistants (Unit 4214) All Occupations

Less than High-School

9.0%

12.1%

High-School

17.2%

20.3%

Post-Secondary

60.1%

44.2%

Bachelors

13.7%

23.4%

Other Employment Distribution Early Childhood Educators and Assistants (Unit 4214) All Occupations

Self-Employment

22.5%

10.7%

Immigrants

18.9%

13.7%

Labour Market Indicators Early Childhood Educators and Assistants (Unit 4214) All Occupations

Average Employment, 2010-2012

81.750

3,951,050

Employment Insurance Claimants in 2012

600

87,600

Average Annual Growth Rate, 2013-2017

1.5%

0.8%

Yearly Variation in Employment, 2013-2017

1,300

33,400

Annual Attrition, 2013-2017

1,000

73,500

Total Annual Needs, 2013-2017

2,300

106,900

In: Statistics and Probability

Demographics: Client Name: Charles Jones            Gender: Male                    Race: Black Age: 68  

Demographics:

Client Name: Charles Jones            Gender: Male                    Race: Black

Age: 68               Weight: 180 lbs               Height: 183 cm (72 in)                    Location: SIM 319

Physician: Dr. Carl Smith

                            

Client Information: Mr. Jones is a newly diagnosed hypertensive patient that started having problems with CHF. He works as a school maintenance supervisor and states that he is too busy to go to the bathroom. Unfortunately, he has omitted take his fluid pills. Dr. Smith initially admitted Mr. Jones to the SIMs unit to treat his CHF. He is now complaining of trouble passing his water, feelings of fullness, and burning upon urination. An order was obtained to insert a catheter and send a specimen to the lab.  

Past Medical History: Hypertension, CHF

Allergies: Unknown

Social History: Works as a school maintenance supervisor. Lives with his wife. Has adult children

Surgeries/Procedures: Unknown

Potential Skills for Scenario: Insertion of urinary catheter; send specimen to lab

*Students are expected to review these skills prior to simulation in order to perform them independently during the scenario.

Insert urinary catheter – In & Out, obtain a specimen, send specimen to lab

Medication List: None

Questions:

  1. Complete pathophysiology for urinary tract infection:

Etiology

Changes to Normal A&P

Clinical Manifestations

  1. Complete the following related to medications:

Medication

Mechanism of Action

Intended Effects for this Patient

Side Effects

Nursing Considerations/Administration Technique(s)

  1. What labwork and/or diagnostic testing should the nurse anticipate to be performed for this patient on admission? What would be the significance of abnormal findings?

  1. Select 3 high priority nursing diagnoses based on demographic information.

      In: Nursing

      The table below gives the number of hours spent unsupervised each day as well as the...

      The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

      Hours Unsupervised 0.5 1 2 2.5 4 5 5.5
      Overall Grades 94 87 82 79 70 67 60

      Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.

      Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.

      Step 3 of 6: Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.

      Step 4 of 6: Find the estimated value of y when x = 60. Round your answer to three decimal places.

      Step 5 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable ˆy.

      Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.

      show how to do in minitab if possible.

      In: Statistics and Probability