In: Nursing
develop a teaching plan for a school-age child and family about two of the following topics:
Type 1 DM disease process, the lifestyle changes you will have to make, what kind of diet, exercise, medications, treatments, or school needs. Be sure to include the following:
a. Objectives (what do you want the parents to learn?)
b. Content (what specific topics will you teach/reinforce?)
c. Methods and Materials (How will you teach the content/reinforce teaching?
What materials will you use?)
d. Evaluation (How will you evaluate client understanding?)
In: Nursing
Lionel is an unmarried law student at State University Law School, a qualified educational institution. This year Lionel borrowed $30,000 from County Bank and paid interest of $1,800. Lionel used the loan proceeds to pay his law school tuition. Calculate the amounts Lionel can deduct for interest on higher-education loans under the following circumstances:
a. Lionel's AGI before deducting interest on higher-education loans is $50,000.
Deductible interest expense:
b. Lionel's AGI before deducting interest on higher-education loans is $90,000.
Deductible interest expense:
In: Accounting
In Brown v. Board of Education (1954), the Supreme Court ruled that racial segregation in public schools violated the Equal Protection Clause of the Fourteenth Amendment because "separate is inherently unequal." Does this mean that schools should be legally required to have racially balanced student populations? In other words, should the racial composition of the school be required to match the racial composition of the surrounding area's population (i.e., if the county is 60% white, 30% Hispanic, and 10% black, should each school in the county be required to approximate those percentages in its student population?)? Why or why not?
In: Economics
Almost all medical schools in the United States require applicants to take the Medical College Admission Test (MCAT). On one exam, the scores of all applicants on the biological sciences part of the MCAT were approximately Normal with mean 9.1 and standard deviation 2.6. For applicants who actually entered medical school, the mean score was 10.4 and the standard deviation was 1.6.
(a) What percent of all applicants had scores higher than 11?
ANSWER: __%
(b) What percent of those who entered medical school had scores between 9 and 12?
ANSWER: __%
In: Statistics and Probability
National statistics show that the average middle school student spends 8.694 hours per week playing video games. A random sample of 12 middle school students reveals the following times in hours each student spent playing video games.
4.50 9.75 9.50 8.25 5.00 14.50 11.00 4.00 8.25 11.25 11.75 15.50
Has the national average changed? State the hypotheses, check conditions, compute test statistics, standardize and give degrees of freedom. Include a sketch, state the p-value followed by your conclusion.
In: Statistics and Probability
Imagine Washington State is considering implementing a program
that pays
monetary awards to families when their high school age children
meet certain goals (for
example, school attendance, achievement on standardized tests,
receiving regular
dental checkups, and receiving flu shots). WSIPP has been asked by
the state legislature
to assess whether the state should adopt this policy.
a. Name three potential secondary impacts that WSIPP might consider
in evaluating the
policy.
b. Indicate how WSIPP might go about making predictions of one of
these impacts and
then monetize them.
In: Economics
Use this information as you create an SPSS dataset using the data chart below paying particular attention in assigning the proper variable type (scale/interval, ordinal, or nominal) in the Measure column in the Variable View in SPSS.
|
School ID |
School Region |
Enrollment |
Academic Rank |
|
278 |
West |
56 |
1 |
|
044 |
East |
825 |
2 |
|
416 |
North |
134 |
3 |
|
489 |
North |
152 |
4 |
|
223 |
West |
79 |
5 |
|
126 |
South |
345 |
6 |
|
013 |
East |
924 |
7 |
|
156 |
South |
256 |
8 |
In: Statistics and Probability
The director of an alumni association for a small college wants to determine whether there is any type of relationship
between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school.
Use the Data Analysis toolpack: Correlation and Regression and answer the questions below.
Years Contribution
1 500
5 154
3 300
10 61
7 75
6 80
Give the following:
correlation coefficient:
is there a significant correlation between variables?
Equation of the Regression line
a
b
Predict the amount of contribution if the alumnus has been out of school for 4 years.
In: Statistics and Probability
In: Statistics and Probability