On diagnosis, the bone marrow of the patient is infiltrated with small lymphocytes. What should the nurse suspect based on the information?

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A 65-year-old patient reports night sweats and weight loss. The complete blood count report shows that she has lymphocytosis. The total white blood cell count is 23,000 microliters. On diagnosis, the bone marrow of the patient is infiltrated with small lymphocytes. What should the nurse suspect based on the information?

 

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Compare this organization’s advertising performance to that of the hospital

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A medical group recently conducted an advertis­ing campaign for its new pediatric orthopedics depart­ment. After four weeks, a telephone survey found that 42 percent of the families with children under the age of 18 years were aware of the service. Six months later, it found that 12 percent had actually used the service, and 3 percent said they were regular users of the facility for their children’s orthopedic needs. Compare this organization’s advertising performance to that of the hospital discussed in Table 14–7 in this chapter. How does this organization compare in terms of its media, creative, and service effectiveness ratios? Where might the medical group need to make adjustments? For this medical group the advertising control num­bers were as follows:

Number Aware of Service

=

42%

Tried Service

=

12%

Regularly Used Service

=

3%

Media Effectiveness Ratio

=

42%

Creative Effectiveness Ratio

=

12%/42% = 28.5%

Service Effectiveness Ratio

 

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What policies are you aware of that policymakers developed in response to a societal problem or event?

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Often, policymakers develop policies in response to a recent societal problem or event. Whereas some societal problems, such as homelessness, unemployment, and poverty, require long-term policy development and refinement, society sometimes demands immediate policy implementation in response to events or problems that proved dangerous for society at large. For example, the U.S. terrorist attacks on September 11, 2001, and the subsequent terrorist threats heightened airport security and created item restrictions for airplane carry-on luggage. Over time, policymakers adjusted these policies as the danger appeared less imminent due to the development of other policies. What policies are you aware of that policymakers developed in response to a societal problem or event? Are those policies effective responses to the problems or events? If not, how might you change them in order to make them more effective?

For this Discussion, review this week’s resources. Using reputable news and education sources, search for an event that led to the formation of a social policy. Then, consider what changes you might make to the policy that resulted from this event. Finally, think about the role of social work (as a profession and political lobby) in the formation of the policy.

Post a brief explanation of the event you selected that led to the formation of a social policy. Then, explain what changes you would make to the policy that resulted from this event and why. Finally, explain the role of social work (as a profession and political lobby) in the formation of the policy.

References:
Popple, P. R., & Leighninger, L. (2015). The policy-based profession: An introduction to social welfare policy analysis for social workers. (6th ed.). Upper Saddle River, NJ: Pearson Education.

200-300 Words

 

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Compare the 95% and 99% confidence intervals for the hours of sleep a student gets. Explain the difference between these intervals and why this difference occurs

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Subject: Mathematics    / General Mathematics

MATH 221 Statistics for Decision Making

Week 6 iLab

Name:_______________________

Statistical Concepts:

· Data Simulation

· Confidence Intervals

· Normal Probabilities

Short Answer Writing Assignment

All answers should be complete sentences.

We need to find the confidence interval for the SLEEP variable. To do this, we need to find the mean and then find the maximum error. Then we can use a calculator to find the interval, (x – E, x + E).

First, find the mean. Under that column, in cell E37, type =AVERAGE(E2:E36). Under that in cell E38, type =STDEV(E2:E36). Now we can find the maximum error of the confidence interval. To find the maximum error, we use the “confidence” formula. In cell E39, type =CONFIDENCE.NORM(0.05,E38,35). The 0.05 is based on the confidence level of 95%, the E38 is the standard deviation, and 35 is the number in our sample. You then need to calculate the confidence interval by using a calculator to subtract the maximum error from the mean (x-E) and add it to the mean (x+E).

1. Give and interpret the 95% confidence interval for the hours of sleep a student gets. (5 points)

Then, you can go down to cell E40 and type =CONFIDENCE.NORM(0.01,E38,35) to find the maximum error for a 99% confidence interval. Again, you would need to use a calculator to subtract this and add this to the mean to find the actual confidence interval.

2. Give and interpret the 99% confidence interval for the hours of sleep a student gets. (5 points)

3. Compare the 95% and 99% confidence intervals for the hours of sleep a student gets. Explain the difference between these intervals and why this difference occurs. (5 points)

In the week 2 lab, you found the mean and the standard deviation for the HEIGHT variable for both males and females. Use those values for follow these directions to calculate the numbers again.

(From week 2 lab: Calculate descriptive statistics for the variable Height by Gender. Click on Insert and then Pivot Table. Click in the top box and select all the data (including labels) from Height through Gender. Also click on “new worksheet” and then OK. On the right of the new sheet, click on Height and Gender, making sure that Gender is in the Rows box and Height is in the Values box. Click on the down arrow next to Height in the Values box and select Value Field Settings. In the pop up box, click Average then OK. Write these down. Then click on the down arrow next to Height in the Values box again and select Value Field Settings. In the pop up box, click on StdDev then OK. Write these values down.)

You will also need the number of males and the number of females in the dataset. You can either use the same pivot table created above by selecting Count in the Value Field Settings, or you can actually count in the dataset.

Then in Excel (somewhere on the data file or in a blank worksheet), calculate the maximum error for the females and the maximum error for the males. To find the maximum error for the females, type =CONFIDENCE.T(0.05,stdev,#), using the females’ height standard deviation for “stdev” in the formula and the number of females in your sample for the “#”. Then you can use a calculator to add and subtract this maximum error from the average female height for the 95% confidence interval. Do this again with 0.01 as the alpha in the beginning of the formula to find the 99% confidence interval.

Find these same two intervals for the male data by using the same formula, but using the males’ standard deviation for “stdev” and the number of males in your sample for the “#”.

4. Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why? (7 points)

5. Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why? (7 points)

6. Find the mean and standard deviation of the DRIVE variable by using =AVERAGE(A2:A36) and =STDEV(A2:A36). Assuming that this variable is normally distributed, what percentage of data would you predict would be less than 40 miles? This would be based on the calculated probability. Use the formula =NORM.DIST(40, mean, stdev,TRUE). Now determine the percentage of data points in the dataset that fall within this range. To find the actual percentage in the dataset, sort the DRIVE variable and count how many of the data points are less than 40 out of the total 35 data points. That is the actual percentage. How does this compare with your prediction? (10 points)

Drive (miles) State Shoe Size Height (inches) Sleep (hours) Gender Car Color TV (hours) Money (dollars) Coin Die1 Die2 Die3 Die4 Die5 Die6 Die7 Die8 Die9 Die10

20 OR 7 65 4 F green 1 46.00 4 5 5 1 5 2 1 5 1 6 3

28 NY 7 67 4 F black 1 25.00 4 6 2 6 5 5 4 3 1 3 1

54 NV 11 65 4 F silver 5 54.00 7 6 2 3 6 1 5 3 6 5 1

76 PA 11 63 4 M silver 5 13.00 5 4 5 2 3 3 5 3 6 2 1

36 TX 7 66 5 M orange 3 7.00 3 2 4 4 1 6 3 1 6 4 4

88 SC 6 63 5 F black 3 43.00 6 6 2 4 2 3 5 3 1 4 2

6 MI 10 66 6 M black 5 34.00 3 4 4 5 1 4 4 5 5 5 1

25 CA 8 69 6 F silver 4 30.00 4 3 5 3 6 1 3 1 4 1 5

40 IL 10 68 6 M silver 5 16.00 5 2 2 4 2 1 3 2 4 4 2

42 IL 8 65 6 F red 4 4.00 4 3 4 1 3 2 5 5 5 6 6

55 OH 9 67 6 F dark blue 4 27.00 2 2 6 5 5 5 3 5 2 3 3

Mean ______________ Standard deviation ____________________

Predicted percentage ______________________________

Actual percentage _____________________________

Comparison ___________________________________________________

______________________________________________________________

7. What percentage of data would you predict would be between 40 and 70 and what percentage would you predict would be more than 70 miles? Subtract the probabilities found through =NORM.DIST(70, mean, stdev, TRUE) and =NORM.DIST(40, mean, stdev, TRUE) for the “between” probability. To get the probability of over 70, use the same =NORM.DIST(70, mean, stdev, TRUE) and then subtract the result from 1 to get “more than”. Now determine the percentage of data points in the dataset that fall within this range, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? (11 points)

Predicted percentage between 40 and 70 ______________________________

Actual percentage _____________________________________________

Predicted percentage more than 70 miles ________________________________

Actual percentage ___________________________________________

Comparison ____________________________________________________

_______________________________________________________________

Why? __________________________________________________________

________________________________________________________________

 

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