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 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 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 |
Find the estimated slope. Round your answer to three decimal places.
Find the estimated y-intercept. Round your answer to three decimal places.
Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.
Find the estimated value of y when x=3.5x=3.5. Round your answer to three decimal places.
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
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 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 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) | 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 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. 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 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 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:
|
Etiology |
|
|
Changes to Normal A&P |
|
|
Clinical Manifestations |
|
Medication |
Mechanism of Action |
Intended Effects for this Patient |
Side Effects |
Nursing Considerations/Administration Technique(s) |
|
|
|
|
In: Nursing
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