A Pew Internet & American Life study found that teens and young adults consider their frequent e-communication as very different from the traditional writing they learn in school and generally don’t consider it “real writing.” Although they are tech-smart, students don’t always understand the boundaries of acceptable media use and need to learn that employers expect more formal, thoughtful, informative, and error-free messages on the job. How would you deal with this in the workplace?

Now that you have been in college for some time you may have know other students, who have left school. Some may have transferred, and others dropped out. How can you be different from, them and survive the challenges many college students face ? Read the article:Toward a Theory of Minority Student Participation In Predominantly White Colleges and Universities by Kenneth P. Gonzalez- located in Course Documents

3. We have seen several incidents of extreme violence toward former work colleagues or classmates recently. Choose one example where someone went to a former workplace or school and either injured or killed a number of former colleagues.

Describe what happened and what reasons are thought to have caused the violent behavior. Did organizational justice / injustice play a role in the tragedy? If so, how and what type of injustice was the key contributor?

1) We came out of the 2001 recession some time back (quite some times back). What kind of policies were adopted to help get us out of that recession? Do these sound like Keynesian policies or Classical ones? Why? How would the policies by the other school of thought look different? What about the policies adopted to get us out of the 2008 recession? What kind of policies were these?

You just won the initial school of finance lottery! You have won $10,000 today, $20,000 five years from today, and $50,000 ten years from today. As an alternative, you can receive your winnings as a 15 year annuity with the first payment received ten years from today. If you require a 6% return on your investment, how much annuity pay you each for you to select that option?

A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), and education of the head of household (School). House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below:

Which of the independent variables in the model are significant at the 5% level?

A 48-year-old woman comes to the clinic for a routine wellness checkup. In speaking with the nurse, the patient reports she has an intermittent aching feeling in her left lower abdomen and feels sluggish at times. She describes herself as a “couch potato” and says she gets a lot of exercise at her job and driving her sons to various activities. When the nurse palpates the abdominal area, the patient denies pain at the time but expresses that she is getting tired of feeling this ache and cannot explain why it is there. The patient is a busy mother of three boys and works from 7 am to 3 pm daily in a day care center near her home.

1. Identify the clinical problem(s) in the case study.
2. In speaking further with the patient, the nurse discovers that the patient does not eat breakfast because of her early work schedule and that she routinely eats a lunch consisting of a banana, diet soda, and pizza. The patient also reports her last bowel movement was 3 days ago, which is a change in her bowel habits. Based on all the information so far, what problem(s) should the nurse consider the patient may have?
3. After a thorough examination and testing, it is determined that the patient’s symptoms are due to constipation. Explain what education the nurse can provide to the patient to assist her in dealing with this problem.

Assignment 3: Data Analysis with Graphs Assignment

• Data Set A Masses, to the nearest kilogram, of 30 men: 74 52 67 68 71 76 86 81 73 64 75 71 57 67 57 59 72 79 64 70 77 79 65 68 76 83 61 63 68 74
• Data Set B Times, in seconds, taken by 20 boys to swim one length of a pool 32 31 26 27 27 32 29 26 25 25 31 33 26 30 23 32 27 26 31 29

1. how would you draw a stem and leaf diagram for each of the above data sets.

2.Using your stem and leaf diagrams, make at least 2 comments about each set of data (i.e., what does the diagram tell you about the data?).

3.For each of the data sets:

a.Create a histogram from the data.

b.Does the histogram tell you anything that wasn’t evident from the stem and leaf diagram? Does it make anything about the data more difficult to see?

c.Create a second histogram with a different bin width. How does this change how you interpret the data?

4.For each of the data sets, explain whether you prefer the stem and leaf diagram or a histogram and why?

For your summary statement try to explain in a paragraph for each variable, in statistical terms,

what the 90% confidence interval means for each of these variables.

In other words, how do we interpret these numbers in our SPSS

output?

HRSRELAX (hours per day respondents have to relax)

Mean:                            90% confidence interval lower and upper

Lower class 4.20                2.89/5.51

Working class 3.10           2.87/3.33

Middle class 3.75              3.43/4.08

Upper class 3.36                2.51/4.20

EDUC (highest year of school completed)

Mean:                            90% confidence interval lower and upper

Lower 12.04        11.05/13.03

Working 13.03   12.68/13.37

Middle 15.36      15.03/15.69

Upper 16.86        15.69/18.03

HRS1 (number of hours worked last week)

Mean:                            90% confidence interval lower and upper

Lower 35.72        31.48/39.96

Working 41.80   40.32/43.29        

Middle 42.85      40.98/44.72

Upper 42.86        34.66/51.05

MAEDUC (highest year of school completed, mother)

Mean:                            90% confidence interval lower and upper

Lower 9.48          7.89/11.07

Working 11.31   10.84/11.79

Middle 13.06      12.06/13.52

Upper   14.50     12.38/16.62

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.

Step 4 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 y^.

Step 5 of 6:

Determine the value of the dependent variable yˆ at x=0

answer choices:

()b0

()b1

()x

()y

Step 6 of 6:

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