Chapter 19 Differing Parenting Styles Lisette and Joel are a couple in their 20s. They have a 2-week-old baby boy and have come in for a well-baby check of their healthy infant. Joel is carrying the infant with Lisette trailing behind. When the nurse inquires how things are going at home, Lisette becomes tearful and Joel looks away. As the nurse questions them further, it becomes evident that the couple differs in their perception of how the baby should be cared for. Lisette was raised in various foster homes after being taken from her abusive mother at 3 years of age, and she has no relatives who are involved in her life at the present time. Joel comes from a large, affectionate family who is thrilled with the new baby and frequently visits. While visiting, they take over the care of the baby. Lisette has been feeling overwhelmed by the care of the infant and often just lets him cry in his crib. Immediately, Joel or one of his family members always picks up the baby when he cries.
1. What can the nurse do to help this couple?
2. What specific interventions may be helpful?
3. How can Joel’s family help?
4. What other resources are important for this family?
In: Nursing
A person is most likely to contract diseases such as Rocky Mountain spotted fever and Lyme disease if he or she visits/participates in
Question 66 options:
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snow skiing |
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camping and hiking in the backcountry |
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metropolitan cities |
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European countries |
Which pathogens are transmitted via blood exchange?
Question 67 options:
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Hepatitis B |
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HIV |
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Hepatits C |
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All of the above |
Birds are the reservoir for West Nile Virus.
Question 69 options:
| True | |
| False |
Which form of the plague has the highest mortality rate AND is the most contagious?
Question 70 options:
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Bubonic |
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Septicemic |
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Pneumonic |
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B and C |
A 5-year old boy is taken to the ER by his mother because he has had a high fever, cough, runny nose, and watery eyes for 3 days. Yesterday she noticed a rash on his upper neck that has now spread down is body. The ER doctor also observed white Koplik’s spots on the inside of his cheek? What is the most likely cause of his symptoms?
Question 71 options:
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Measles |
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Chicken Pox |
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Mumps |
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Rubella |
Which of the following diseases CAN be passed mother to child during childbirth?
Question 72 options:
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Chlamydia |
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Gonorrhea |
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West Nile |
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A and B |
In: Anatomy and Physiology
Age and Marital Status of Women
The following two-way table describes the age and marital status of American women in 1995. The table entries are in thousands of women.
|
Marital Status |
|||||
|
Age (years) |
Never married |
Married |
Widowed |
Divorced |
Total |
|
18-24 |
9289 |
3046 |
19 |
260 |
12614 |
|
25-39 |
6948 |
21437 |
206 |
3408 |
31999 |
|
40-64 |
2307 |
26679 |
2219 |
5508 |
36713 |
|
>=65 |
768 |
7767 |
8636 |
1091 |
18262 |
|
Total |
19312 |
58929 |
11080 |
10267 |
99588 |
1)(4 Points)Report the marginal distribution of marital status for all adult women (use percents). Draw a bar graph to display this distribution (draw either in Excel or in SPSS).
2) (4 Points)Compare the conditional distributions of marital status for women aged 18 to 24 and women aged 40 to 64. Briefly describe the most important differences between the two groups of women, and back up your description with percents.
3) (4 Points)You are planning a magazine aimed at women who have never been married. Find the conditional distribution of age among single women (those who have never been married) and display it in a bar graph (with either Excel or SPSS). What age group or groups should your magazine aim to attract?
In: Statistics and Probability
Age and Marital Status of Women
The following two-way table describes the age and marital status of American women in 1995. The table entries are in thousands of women.
|
Marital Status |
|||||
|
Age (years) |
Never married |
Married |
Widowed |
Divorced |
Total |
|
18-24 |
9289 |
3046 |
19 |
260 |
12614 |
|
25-39 |
6948 |
21437 |
206 |
3408 |
31999 |
|
40-64 |
2307 |
26679 |
2219 |
5508 |
36713 |
|
>=65 |
768 |
7767 |
8636 |
1091 |
18262 |
|
Total |
19312 |
58929 |
11080 |
10267 |
99588 |
1) (4 Points) Report the marginal distribution of marital status for all adult women (use percents). Draw a bar graph to display this distribution (draw either in Excel or in SPSS).
2) (4 Points) Compare the conditional distributions of marital status for women aged 18 to 24 and women aged 40 to 64. Briefly describe the most important differences between the two groups of women, and back up your description with percents.
3) (4 Points) You are planning a magazine aimed at women who have never been married. Find the conditional distribution of age among single women (those who have never been married) and display it in a bar graph (with either Excel or SPSS). What age group or groups should your magazine aim to attract?
In: Statistics and Probability
Age and Marital Status of Women
The following two-way table describes the age and marital status of American women in 1995. The table entries are in thousands of women.
|
Marital Status |
|||||
|
Age (years) |
Never married |
Married |
Widowed |
Divorced |
Total |
|
18-24 |
9289 |
3046 |
19 |
260 |
12614 |
|
25-39 |
6948 |
21437 |
206 |
3408 |
31999 |
|
40-64 |
2307 |
26679 |
2219 |
5508 |
36713 |
|
>=65 |
768 |
7767 |
8636 |
1091 |
18262 |
|
Total |
19312 |
58929 |
11080 |
10267 |
99588 |
1) (4 Points) Report the marginal distribution of marital status for all adult women (use percents). Draw a bar graph to display this distribution (draw either in Excel or in SPSS).
2) (4 Points) Compare the conditional distributions of marital status for women aged 18 to 24 and women aged 40 to 64. Briefly describe the most important differences between the two groups of women, and back up your description with percents.
3) (4 Points) You are planning a magazine aimed at women who have never been married. Find the conditional distribution of age among single women (those who have never been married) and display it in a bar graph (with either Excel or SPSS). What age group or groups should your magazine aim to attract?
In: Statistics and Probability
| City1 | City 2 | City 3 | City 4 |
| 789 | 748 | 1831 | 1756 |
| 2051 | 1501 | 740 | 2125 |
| 765 | 1886 | 1554 | 1995 |
| 1645 | 1593 | 137 | 1526 |
| 1266 | 1474 | 2276 | 1746 |
| 2138 | 1913 | 2144 | 1616 |
| 1487 | 1218 | 1053 | 1958 |
| 1622 | 1006 | 1120 | 1675 |
| 1169 | 343 | 1838 | 1885 |
| 2215 | 1494 | 1735 | 2204 |
| 167 | 580 | 1326 | 2409 |
| 2557 | 1320 | 1790 | 1338 |
| 634 | 1784 | 32 | 2076 |
| 1326 | 1044 | 1455 | 2375 |
| 1790 | 890 | 1913 | 1125 |
| 32 | 1708 | 1218 | 1326 |
| 1455 | 1913 | 1006 | 1790 |
| 1218 | 343 | 32 | |
| 1006 | 1494 | 1455 | |
| 343 | 580 |
(1) Using the above table, data set has information on the account balances of customers at a bank’s four locations. Using that data set and an ? of 0.05, test the null hypothesis that the mean account balances are equal in the four towns using a one-way ANOVA in Excel?. Please provide a picture of the excel spreadsheet with the ANOVA Test results.
(2) Do you reject the null hypothesis or not? Indicate on which part of the Excel output you base your decision.
(3) Assuming that an acquaintance of yours has never heard of ANOVA, explain to him what the decision in part (b), i.e., “rejecting H0” or “not rejecting H0” means in this context at a level that can be understood by a high school senior.
In: Statistics and Probability
An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead). Consumers, of all income and wealth classes, were surveyed. Every year, 1500 consumers were interviewed. The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually. Below is the data shown for the last 24 years.
Date X Y (in thousands of dollars)
1994 79.1 55.6
1995 79 54.8
1996 80.2 55.4
1997 80.5 55.9
1998 81.2 56.4
1999 80.8 57.3
2000 81.2 57
2001 80.7 57.5
2002 80.3 56.9
2003 79.4 55.8
2004 78.6 56.1
2005 78.3 55.7
2006 78.3 55.7
2007 77.8 55
2008 77.7 54.4
2009 77.6 54
2010 77.6 56
2011 78.5 56.7
2012 78.3 56.3
2013 78.5 57.2
2014 78.9 57.8
2015 79.8 58.7
2016 80.4 59.3
2017 80.7 59.9
Question:
In: Statistics and Probability
“The Dow 10 Strategy” maintains a portfolio of the 10 highest yielding Dow Jones industrial stocks. Consider the data as per table, for the 25 years.
Note: Use of calculators and computers is highly recommended.
|
Year |
DJIA*Total Returns |
Dow 10 Strategy**Total Return |
|
1972 |
18.18% |
23.32% |
|
1973 |
-13.16% |
3.96% |
|
1974 |
-23.21% |
-0.72% |
|
1975 |
44.48% |
56.03% |
|
1976 |
22.75% |
34.93% |
|
1977 |
-12.76% |
-1.75% |
|
1978 |
2.62% |
0.12% |
|
1979 |
10.52% |
12.99% |
|
1980 |
21.45% |
27.23% |
|
1981 |
-3.40% |
7.73% |
|
1982 |
25.84% |
26.05% |
|
1983 |
25.68% |
38.75% |
|
1984 |
1.07% |
5.75% |
|
1985 |
32.83% |
29.40% |
|
1986 |
26.96% |
34.79% |
|
1987 |
6.00% |
6.07% |
|
1988 |
15.97% |
24.33% |
|
1989 |
31.74% |
25.66% |
|
1990 |
-0.61% |
-7.57% |
|
1991 |
23.99% |
34.02% |
|
1992 |
7.37% |
7.79% |
|
1993 |
16.74% |
26.91% |
|
1994 |
4.94% |
4.05% |
|
1995 |
36.47% |
36.51% |
|
1996 |
28.58% |
28.18% |
In: Finance
The data below is the total spending (in millions of dollars) on drugs and other non-durable products for your assigned state (or DC). You need to convert this data to spending per capita in constant 2019 dollars.
Go to the FRED database at https://fred.stlouisfed.org/
Search for the PCEPI. Change the frequency to annual. Using that price index (this is a national index; there isn't a PCE index for each state), convert the following to 2019Q3 dollars.
Again using the FRED database, find the population for your state. The symbol is usually the two letter abbreviation for the state and POP. New York, for example, would be NYPOP.
Using this information, covert the spending below into spending per capita, in 2019Q3 dollars. Keep in mind that the values below are in millions of dollars and you want your answers in dollars.
Enter your results for every even-numbered year in the answer
| Your assigned state: |
Alaska
| Year | Total spending on drugs and other non-durable products (millions of dollars) |
| 1991 | 142 |
| 1992 | 149 |
| 1993 | 153 |
| 1994 | 162 |
| 1995 | 156 |
| 1996 | 179 |
| 1997 | 209 |
| 1998 | 229 |
| 1999 | 262 |
| 2000 | 290 |
| 2001 | 317 |
| 2002 | 358 |
| 2003 | 411 |
| 2004 | 425 |
| 2005 | 455 |
| 2006 | 499 |
| 2007 | 531 |
| 2008 | 524 |
| 2009 | 503 |
| 2010 | 485 |
| 2011 | 480 |
| 2012 | 468 |
| 2013 | 430 |
| 2014 | 471 |
In: Economics
The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1) to 2011 (period 24) follows.
| Year | Period | Budget ($ billions) |
|---|---|---|
| 1988 | 1 | 3.03 |
| 1989 | 2 | 3.29 |
| 1990 | 3 | 3.56 |
| 1991 | 4 | 4.41 |
| 1992 | 5 | 4.36 |
| 1993 | 6 | 4.51 |
| 1994 | 7 | 4.65 |
| 1995 | 8 | 5.15 |
| 1996 | 9 | 5.34 |
| 1997 | 10 | 5.66 |
| 1998 | 11 | 6.01 |
| 1999 | 12 | 6.30 |
| 2000 | 13 | 6.58 |
| 2001 | 14 | 6.75 |
| 2002 | 15 | 6.56 |
| 2003 | 16 | 6.78 |
| 2004 | 17 | 6.98 |
| 2005 | 18 | 7.65 |
| 2006 | 19 | 8.38 |
| 2007 | 20 | 8.57 |
| 2008 | 21 | 8.76 |
| 2009 | 22 | 8.43 |
| 2010 | 23 | 8.33 |
| 2011 | 24 | 8.76 |
(a)
Construct a time series plot.
What type of pattern exists in the data?
The time series plot shows a horizontal pattern.
The time series plot shows a nonlinear trend.
The time series plot shows a seasonal pattern.
The time series plot shows a linear trend.
(b)
Develop a linear trend equation for this time series to forecast the budget (in billions of dollars). (Round your numerical values to three decimal places.)
Tt =
(c)
What is the forecast (in billions of dollars) for period 25? (Round your answer to two decimal places.)
$ _______ billion
In: Statistics and Probability