Author: chris

In this assignment you need to identify a past or current United States Supreme Court justice (do not select Justice Roberts, Alito, or Sotomayor or Kagan) and research and discuss his/her life and career and their impact on criminal procedure/ criminal justice. You will need outside research on this paper.

Format

1. Introduction – identify the justice you selected and why you selected them and discuss your research methods;
2. Life history of the justice, including educational background, experience prior to becoming a judge, etc
3. Discussion of his/her tenure on the court, including a discussion of at least five majority opinions that he or she authored,
4. A discussion/analysis of the judicial philosophy of the justice (eg liberal or conservative, activist or restraint, etc).
5. A discussion/analysis of the impact of the justice on criminal procedure.
6. A conclusion.

A suggested length is 18-28 paragraphs. This paper should be double-spaced in a 10- to12-point font.

Style: This paper should display a high level of professionalism. I will consider your writing and research quality. Do not simply copy and paste from research that you locate.

References: You should attribute your research (author or title similar to Assignments 1-2) throughout the paper and in a reference page (including author, title and publication). At least 8 outside research sources are expected. An outside research source is something besides our textbook or a textbook used in another course. Do not cite Wikipedia or textbooks from other college classes as sources.

For your first paper, identify one important health care issue that is being currently debated by Americans, and then follow the instructions below:
Prepare a 800-1,000 word essay that 1) summarizes a news story found on Kaiser Health News (HYPERLINK “http://www.kaiserhealthnews.org/”http://www.kaiserhealthnews.org/) and then 2) discusses the implications of this news event on your future professional opportunities as a healthcare manager.
Incorporate at least three (3) scholarly journal articles published in the last five years into your paper. In addition, you must use UMUC’s library to locate the articles and include at least one scholarly journal that provides a DOI = digital object identifier on the reference page (example: doi: 10.1108/03090560710821161).
Follow APA style guidelines for citations and the reference page.
Prepare your essay in MS Word with 1-inch margins on all sides, double-spaced and 12 pt. Arial font. Please note that the 1000 word limit INCLUDES all components of your paper, including your name, title, citations, and references.

There are different communication styles. In your paper, address the following:

1. Describe three styles of communication.
2. How are communication styles used and applied in the workplace?
3. Reflect on a work experience/issue where communication impacted the team.
4. What were the outcomes of the situation?

Your paper should be 2-3 pages long

Diversity is common in today’s workplace. Address diversity issues by answering the following questions:

1. Explain how you would promote diversity in the workplace.
2. How would you encourage diversity education for your employees?
3. Summarize how you would incorporate policies and procedures that address discrimination.
4. List three benefits of embracing diversity in the workplace.

 

Your paper should be 2-3 pages long

A Class Divided explores the nature of prejudice. Third grade teacher Jane Elliott deliberately created a classroom situation to teach her students how it feels to be on the receiving end of discrimination. This is an encore presentation of the classic documentary on third-grade teacher Jane Elliott’s “blue eyes/brown eyes” exercise, originally conducted in the days following the assassination of Rev. Martin Luther King Jr. in 1968. This classic classroom experiment, conducted in the late 1960s in a small Midwestern town, demonstrates how quickly and easily schoolchildren can internalize prejudice and discriminate. Years later, these children discuss the valuable lessons they learned from this experiment. Elliott employs this same teaching strategy with a group of adults in the workplace, and discusses their reactions.

This assignment is designed to allow you to synthesize what you have been learning about the various dimensions of diversity and the necessity of treating everyone in an inclusive, sensitive and respectful manner.

Discrimination Paper Part I: Interpersonal Reflection

After viewing the video, consider the following questions and write your response. Your response should be 4-5 pages and should address each question thoroughly, reflecting an accurate representation of what you have learned in this course. Demonstrate scholarship by utilizing supporting resources to justify your ideas and responses:

• What did you learn from the film? What scene or scenes do you think you’ll still remember a month from now and why those scenes?
• Did any part of the film surprise you? Do you think someone with a disability, of a different sexual orientation, an older American or some of a different religion would also find it surprising? Why or why not?
• Both Elliott and her former students talk about whether this exercise should be done with all children. What do you think? If the exercise could be harmful to children, as Elliott suggests, what do you think actual discrimination might do? Use an example, different from the example you used to describe labels, from what you have learned about people with disabilities, older people, sexual minorities, or people of differing religions.
• How can negative and positive labels placed on a group become self-fulfilling prophecies? Use an example from what you have learned about people with disabilities, older people, sexual minorities, or people of differing religions.
• Based on what you have learned in this course, discuss an example (either from the video or from your experiences) that illustrates each of the following statements:
  • Dimensions of diversity may be hidden or visible.
  • Dimensions of diversity are in a constant state of flux.
  • Dimensions of diversity are not always clear-cut or easily defined.

Discrimination Paper Part II: Personal Interview

For Part II of this assignment, you will have a conversation with someone who you feel may have faced discrimination. Examples include someone with a disability, an older American, someone who is a sexual minority, or someone who lives in a multicultural family. After choosing an individual to interview, explain to this individual what you have seen in the Class Divided program. Invite them to watch the program, or parts of the program, with you. After watching or discussing the program, pose the following questions to the individual. Be sure to explain the reason for your questions and why you have selected them to participate in the interview:

• What, if any, discrimination do you experience?
• How have you coped with this situation?
• What do you think needs to change at the cultural level to reduce discrimination?

Following your refection (Part I listed above), add 2-3 pages to your paper which addresses the following:

• A description of the individual you chose to interview and why. Explain how you went about approaching this individual for the interview.
• What are your observations about the person’s view of discrimination and how it affects his/her daily life?
• Did the interaction with the person change your view of discrimination? If so, explain how the interaction has affected you either positively or negatively. If it did not change your view of discrimination, explain why.
• How well do you think you would cope with discrimination from this person’s perspective?
• Finally, what is the best manner in which to advocate for those facing discrimination? What actions will you change based on what you have learned in this course and how will you serve as an advocate for those individuals who face discrimination?

Part One:

The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):

1. Paste output . Instead of answering a–c from the text, answer the following questions in their place.

 

1. What is the correlation (r value) between number of articles published and overall quality of the instructor?
2. Is there a significant correlation between overall course quality and overall quality as an instructor? Include the p value to support your answer.
3. Of all the correlations, which is the only non-significant one?

 

1. Write your Results section by focusing on the following 2 correlations: a) number of publications with number of times cited by other authors, and b) number of publications with overall course quality. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. For a correlation analysis, also be sure to include the direction of the relationship between the variables (positive? negative? none?) in your section. (3)
2. Part Two:

1. A clinical psychologist would like to determine whether there is a relationship between observer ratings of children’s avoidant behaviors and scores on an established diagnostic interview assessing childhood anxiety disorders. He administers the diagnostic interview to 28 children and records these scores. He then trains an observer to independently rate carefully-defined avoidant behaviors for each of the 28 children. These scores are totaled for an overall “avoidant behavior index.” On both the interview and the behavioral ratings, a higher score indicates higher levels of behaviors/symptoms. These scores are listed in the table below. Conduct a Pearson correlation coefficient analysis to determine whether there is a relationship between the interview scores and behavioral ratings for this group of children.

 

The steps will be the same as the ones you have been practicing in Part One of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data.

 

 

 

Interview (Range 0 to 15)	Avoidant Behavior Index (Range 0 to 30)
6	9
3	4
5	7
13	22
7	20
6	12
5	10
8	15
3	6
4	7
2	7
2	5
6	16
10	23
7	21
12	26
1	4
5	7
3	9
9	6
5	13
8	12
7	16
4	12
3	9
9	18
5	10
3	9

 

 

 

1. SPSS output (
2.  Create a simple scatterplot of the relationship between these variables (define interview scores as the x-axis and behavioral ratings as the y-axis).
3.  Write a Current APA-style Results section based on your analyses. All homework “Results sections” must follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in Current APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. For a correlation analysis, also be sure to include the direction of the relationship between the variables (positive? negative? none?) in your section.

 

1. A neuropsychologist is assessing the relationship between visual attention levels and the ability to multitask in a sample of 14 patients. He administers a visual continuous performance test to assess levels of visual attention on which scores can range from 1 to 20: a high score indicates better visual attention levels. He then has each patient complete a task that requires high levels of multitasking. Errors are counted, and a high number of errors indicates poor multitasking skills. The scores are listed in the table below. Conduct a Pearson correlation coefficient analysis to determine what the relationship is, if any, between visual attention and the ability to multitask.
2.  The steps will be the same as the ones you have been practicing in Part One of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data.

 

 

 

 

 

Visual Attention Test Scores	Number of Errors in Multitasking
3	25
8	18
9	18
4	26
15	6
6	19
18	3
17	4
19	6
6	16
5	14
20	2
17	5
5	23

 

 

 

1. SPSS output
2. Create a simple scatterplot of the relationship between these variables. (
3.  Write a current APA-style Results section based on your analyses. All homework “Results sections” must follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in Current APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. For a correlation analysis, also be sure to include the direction of the relationship between the variables (positive? negative? none?) in your section.

Part Three: Cumulative Homework

1. A developmental psychologist is studying whether students in a certain preschool program have better classification skills than preschoolers in the rest of the state. She administers an instrument to assess the classification skills to students in the sample program. The mean score for preschoolers in the state on the instrument is 79. The psychologist tests the preschoolers in the program and records the scores in the table below. Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.

 

Classification Scores

88 78 82 91 78 87 88 72 76 71 88 85 76 81 90

 

 

 

1. Paste appropriate SPSS output.
2. Paste appropriate SPSS graph.
3. Write a current APA-style Results section based on your analyses. All homework “Results sections” must follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in Current APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.

 

1. In a study of the relationship between girls’ playtime activities and self-esteem, 17 girls in a fourth-grade class are selected and randomly assigned to one of two groups. One group plays with a selection of Barbie™ dolls for one hour, and the other group plays with a selection of toy animal figures. At the end of the hour, the girls are given a verbal interview designed to measure self-esteem. Scores range from 1-12, and higher scores = higher feelings of self-esteem. Is there a significant difference between the groups on feelings of self-esteem? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.

 

 

 

Barbie™ Group	4 3 7 9 6 10 4 6 5
Toy Animal Group	10 8 5 11 10 6 7 9

 

 

 

1. Paste appropriate SPSS output.
2. Paste appropriate SPSS graph.
3. Write a current APA-style Results section based on your analyses. All homework “Results sections” should follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in Current APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.

Rent the video or DVD, “Fletch,” starring Chevy Chase. You can purchase the film for $2.99 on YouTube. If you already own it, watch it again. Watch the movie in contemplation of writing a paper that identifies all the crimes which you see depicted. The movie is composed of a series of scenes/vignettes. In your paper, you should describe at least six of these scenes/vignettes in detail. After describing the scene/vignette, indicate what crimes you believe are depicted by applying the conduct displayed to the elements of the offense. Focus on the crimes that may have been committed by Chevy Chase (Fletch), Chief Karlin and his force, Alan Stanwyck, and the dumb guard near the end of the film at a minimum. You may also include others in the film, including Fat Sam and his beach buddies. As you describe each scene, indicate why you believe that it reflects the elements (using the Model Penal Code wherever possible) of a particular crime. Also indicate whether you believe any defenses might apply and discuss your reasons. If you believe that you see a crime not listed in the Model penal code, you may substitute the necessary elements from another source, such as one of the Chapters in our book.

Your paper should be typed and double spaced in a 10 – 12 point font. At least six vignettes and crimes are necessary for a passing grade. Those who discuss more vignettes and who are especially perceptive and astute in analyzing the scenes selected will receive extra consideration

The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year.

Car Age (years) Selling Price ($000) Car Age (years) Selling Price ($000)
1 9 8.1 7 8 7.6
2 7 6.0 8 11 8.0
3 11 3.6 9 10 8.0
4 12 4.0 10 12 6.0
5 8 5.0 11 6 8.6
6 7 10.0 12 6 8.0
Click here for the Excel Data File

a. If we want to estimate selling price on the basis of the age of the car, which variable is the dependent variable and which is the independent variable?

is the independent variable and  is the dependent variable.

b-1. Determine the correlation coefficient. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

X Y ( )2 ( )2 ( )( )
9.0   8.1     1.192   0.007   1.420   0.099
7.0   6.0     -0.908   3.674   0.825   1.741
11.0   3.6   2.083     4.340   10.945   -6.892
12.0   4.0   3.083     9.507   8.458   -8.967
8.0   5.0   -0.917   -1.908     3.642   1.749
7.0   10.0   -1.917   3.092     9.558   -5.926
8.0   7.6   -0.917   0.692   0.840     -0.634
11.0   8.0   2.083   1.092   4.340     2.274
10.0   8.0   1.083   1.092   1.174   1.192
12.0   6.0   3.083   -0.908   9.507   0.825
6.0   8.6   -2.917   1.692   8.507   2.862   -4.934
6.0   8.0   -2.917   1.092   8.507   1.192   -3.184
107.000   82.900
= = sx = sy =

r =

b-2. Determine the coefficient of determination. (Round your answer to 3 decimal places.)

c. Interpret the correlation coefficient. Does it surprise you that the correlation coefficient is negative? (Round your answer to nearest whole number.)

correlation between age of car and selling price. So,  % of the variation in the selling price is explained by the variation in the age of the car.
The Student Government Association at Middle Carolina University wanted to demonstrate the relationship between the number of beers a student drinks and his or her blood alcohol content (BAC). A random sample of 18 students participated in a study in which each participating student was randomly assigned a number of 12-ounce cans of beer to drink. Thirty minutes after they consumed their assigned number of beers, a member of the local sheriff’s office measured their blood alcohol content. The sample information is reported below.

Student Beers BAC Student Beers BAC
1 6 0.10 10 3 0.07
2 7 0.09 11 3 0.05
3 7 0.09 12 7 0.08
4 4 0.10 13 1 0.04
5 5 0.10 14 4 0.07
6 3 0.07 15 2 0.06
7 3 0.10 16 7 0.12
8 6 0.12 17 2 0.05
9 6 0.09 18 1 0.02
Use a statistical software package to answer the following questions.

Click here for the Excel Data File

1.
value:
10.00 points
Required information

a-1. Choose a scatter diagram that best fits the data.

2.
value:
10.00 points
Required information
b. Fill in the blanks below. (Round your answers to 3 decimal places.)

sx
sy
c. Determine the coefficient of correlation and coefficient of determination. (Round your answers to 3 decimal places.)

Coefficient of correlation
Coefficient of determination

References
eBook & Resources
Worksheet Difficulty: 2 Intermediate Learning Objective: 13-02 Calculate a correlation coefficient to test and interpret the relationship between two variables.
Check my work

 

3.
value:
10.00 points
Required information
c-1.  State the decision rule for .01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if t >

c-2.  Compute the value of the test statistic. (Round your answer to 2 decimal places.)

Value of the test statistic

c-3.  What is the p-value? (Hint: use Megastat) (Round p-value to 4 decimal places.)

p-value

c-4.  At the .01 significance level, is it reasonable to conclude that there is a positive relationship in the population between the number of beers consumed and the BAC?

H0 . There is between beers consumed and BAC.

1.
value:
10.00 points
The following sample observations were randomly selected.

Click here for the Excel Data File

X:  5  3 6  3  4  4 6 8
Y: 13 15 7 12 13 11 9 5
a. Determine the regression equation. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

X Y ( )2 ( )2 ( )( )
5   13       2.375      5.641
3   15    −1.875      3.516      −8.203
6   7             13.141   −4.078
3   12    −1.875   1.375
4   13    −0.875      0.766      −2.078
4   11       0.375      0.141
6   9    1.125   −1.625
8   5             31.641   −17.578

=      =     sx =

sy =   r =

b =   a =

Y’ = + X

b. Determine the value of when X is 7. (Round your answer to 3 decimal places.)

The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year.

Car Age (years) Selling Price ($000) Car Age (years) Selling Price ($000)
1 9 8.1 7 8 7.6
2 7 6.0 8 11 8.0
3 11 3.6 9 10 8.0
4 12 4.0 10 12 6.0
5 8 5.0 11 6 8.6
6 7 10.0 12 6 8.0
Click here for the Excel Data File

The regression equation is , the sample size is 12, and the standard error of the slope is 0.23. Use the .05 significance level. Can we conclude that the slope of the regression line is less than zero?

H0 and conclude the slope is zero.
The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year.
Car Age (years) Selling Price ($000)
1     9     8.1
2     7     6.0
3     11     3.6
4     12     4.0
5     8     5.0
6     7     10.0
7     8     7.6
8     11     8.0
9     10     8.0
10     12     6.0
11     6     8.6
12     6     8.0

 

Click here for the Excel Data File

a. Determine the standard error of estimate. (Round your answer to 3 decimal places.)

Standard error of estimate

b. Determine the coefficient of determination. (Round your answer to 3 decimal places.)

c. Interpret the coefficient of determination. (Round your answer to the nearest whole number.)

percent of the variation in the selling price is explained by the variation in the age of the car.

1.
value:
10.00 points
Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed:

X1 = Length of time an employee was in the industry
X2 = Mechanical aptitude test score
X3 = Prior on-the-job rating
X4 = Age
Performance on the new machine is designated y.

Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are:
Name Performance
on New
Machine,
Y Length of
Time in
Industry,
X1 Mechanical
Aptitude
Score,
X2 Prior
On-the-Job
Performance,
X3 Age,
X4
Mike Miraglia 112   12   312   121   52
Sue Trythall 113   2   380   123   27

The equation is:
= 11.6 + 0.4X1 + 0.286X2 + 0.112X3 + 0.002X4
a. What is this equation called?

Multiple regression equation
Multiple standard error of estimate
Coefficient of determination

b. How many dependent and independent variables are there?

dependent, independent

c. What is the number 0.286 called?

Regression coefficient
Coefficient of determination
Homoscedasticity
Multicollinearity

d. As age increases by one year, how much does estimated performance on the new machine increase? (Round your answer to 3 decimal places.)

e. Carl Knox applied for a job at Photo Works. He has been in the business for 6 years and scored 280 on the mechanical aptitude test. Carl’s prior on-the-job performance rating is 97, and he is 35 years old. Estimate Carl’s performance on the new machine. (Round your answer to 3 decimal places.)

1.
value:
10.00 points
Consider the ANOVA table that follows.

Analysis of Variance
Source DF SS MS F
Regression 5   3710.00   742.00   12.89
Residual Error 46   2647.38   57.55
Total 51   6357.38
a-1. Determine the standard error of estimate. (Round your answer to 2 decimal places.)

Standard error of estimate

a-2. About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.)

95% of the residuals will be between and .

b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.)

Coefficient of multiple determination value is .

b-2. Determine the percentage variation for the independent variables. (Round your answer to 1 decimal place. Omit the “%” sign in your response.)

The independent variables explain  % of the variation.

c. Determine the coefficient of multiple determination, adjusted for the degrees of freedom. (Round your answer to 3 decimal places.)

Coefficient of multiple determination
1.
value:
10.00 points
The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

Predictor Coeff SE Coeff t p-value
Constant 7.987   2.967   2.690   0.010
X1 0.122   0.031   3.920   0.000
X2 –1.120   0.053   –2.270   0.028
X3 –0.063   0.039   –1.610   0.114
X4 0.523   0.142   3.690   0.001
X5 –0.065   0.040   –1.620   0.112
Analysis of Variance
Source DF SS MS F p-value
Regression 5   3710.00   742.00   12.89   0.000
Residual Error 46   2647.38   57.55
Total 51   6357.38
X1 is the number of architects employed by the company.
X2 is the number of engineers employed by the company.
X3 is the number of years involved with health care projects.
X4 is the number of states in which the firm operates.
X5 is the percent of the firm’s work that is health care–related.

a. Write out the regression equation. (Round your answers to 3 decimal places. Negative answers should be indicated by a minus sign.)

Ŷ = + X1 + X2 + X3 + X4 + X5.

b. How large is the sample? How many independent variables are there?

Sample n
Independent variables k

c-1. State the decision rule for .05 significance level: H0: β1 = β2 = β3 =β4 =β5 =0; H1: Not all β’s are 0. (Round your answer to 2 decimal places.)

Reject H0 if F >
c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.)

Computed value of F is
c-3. Can we conclude that the set of regression coefficients could be different from 0? Use the .05 significance level.

H0. of the regression coefficients are zero.

For X1 For X2 For X3 For X4 For X5
H0: β1 = 0 H0: β2 = 0 H0: β3 = 0 H0: β4 = 0 H0: β5 = 0
H1: β1 ≠ 0 H1: β2 ≠ 0 H1: β3 ≠ 0 H1: β4 ≠ 0 H1: β5 ≠ 0
d-1. State the decision rule for .05 significance level. (Round your answers to 3 decimal places.)

Reject H0 if t < or t > .

d-2. Compute the value of the test statistic. (Round your answers to 2 decimal places. Negative answers should be indicated by a minus sign.)

t − value
X1
X2
X3
X4
X5

d-3. Which variable would you consider eliminating?

Consider eliminating variables .

We are studying mutual bond funds for the purpose of investing in several funds. For this particular study, we want to focus on the assets of a fund and its five-year performance. The question is: Can the five-year rate of return be estimated based on the assets of the fund? Nine mutual funds were selected at random, and their assets and rates of return are shown below.

Assets Return   Assets Return
Fund ($ millions) (%)   Fund ($ millions) (%)
AARP High Quality Bond $622.2 10.8   MFS Bond A $494.5 11.6
Babson Bond L 160.4 11.3   Nichols Income 158.3 9.5
Compass Capital Fixed Income 275.7 11.4   T. Rowe Price Short-term 681.0 8.2
Galaxy Bond Retail 433.2 9.1   Thompson Income B 241.3 6.8
Keystone Custodian B-1 437.9 9.2
Click here for the Excel Data File

b-1. Compute the coefficient of correlation. (Round your answer to 3 decimal places. Negative amount should be indicated by a minus sign.)

r  =

b-2. Compute the coefficient of determination. (Round your answer to 3 decimal places.)

r2 =

c. Give a description of the degree of association between the variables.

There is  association between the variables.

d. Determine the regression equation. Use assets as the independent variable. (Round your answers to 4 decimal places. Negative amounts should be indicated by a minus sign.)

b =

a =

e. For a fund with $400.0 million in sales, determine the five-year rate of return (in percent). (Round your answer to 4 decimal places.)

=  The equation should be used with caution. Assets do not account for much of the variation in the rate of return.

Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. McWhinney gathered the following sample information. The X column indicates the number of client contacts last month, and the Y column shows the value of sales ($ thousands) last month for each client sampled.

Number of
Contacts,
X Sales
($ thousands),
Y Number of
Contacts,
X Sales
($ thousands),
Y
14     24     23     30
12     14     48     90
20     28     50     85
16     30     55     120
46     80     50     110
Click here for the Excel Data File

a. Determine the regression equation. (Negative amounts should be indicated by a minus sign. Do not round intermediate calculations. Round final answers to 2 decimal places.)

X Y ( ) 2 ( )2 ( )( )
14         376.36   1376.41   719.74
12   14   −21.4   −47.1
20     −13.4     179.56     443.54
16   30     −31.1     967.21
46     12.6       357.21
23     −10.4       967.21
48   90     28.9   213.16     421.94
50   85     23.9   275.56     396.74
55         466.56   3469.21   1,272.24
50   110.0   16.6   48.9

=      =     sx =

sy =        r =

b =

a  =   Y’ = + X

b. Determine the estimated sales if 40 contacts are made. (Do not round intermediate calculations. Round final answers to 2 decimal places.)

On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 80%. The standard error of estimate was 10. There were 20 students in the class. Develop an ANOVA table for the regression analysis of hours studied as a predictor of the grade earned on the first statistics exam.

Source DF SS MS
Regression
Error
Total

It is easy to criticize society for not using renewable resources, but in reality, how difficult would this transition be? What processes and procedures would be involved? How would such a transition be made?

The purpose of this assignment is for you to consider what type of energy your neighborhood is currently powered by and what it would really take to convert this source to a renewable one. How much would it take to switch your community to a renewable resource and what would this mean for the environment?

For the assignment, complete the following:

• Identify three primary types of energy that powers your home as well as all of the homes in your community. You may find this information on your community Web site or the Web sites of the local power companies. For example, your community may use electricity and solar panels. (My community, which is Cleveland, Ohio, uses natural gas, electricity, and solar power)
• Explain how the sources of energy you identified impact the environment. Consider the following:
  • Does the use of these types of energy resource have a negative impact on the environment in your area?
  • Does your community have nuclear waste to dispose of?
  • Has your community always used these three power sources? If so, how do you feel this has impacted the environment over time?
  • How much of an impact have these sources of energy had on local air and water quality?
• Considering the current source(s) of power available, determine how much energy your house uses each month. You can find this information on your monthly energy bill. (I use 8,332 kWh/month)

  Calculate your annual usage for a year. Using this value, estimate the energy consumption for your community. The US Census Bureau is one resource you can use to estimate the number of households in your community.

  You can use the following formulae for this calculation:

  (monthly energy usage) × (12 months per year) = (household energy usage per year); (yearly energy estimate for your house) × (estimated number of houses in your community) = (estimated yearly energy use for your community)

  The following is an example of the above calculation:

  52.8 kilowatt hours (kwh) per month × 12 months = 633.6 kwh; 633.6 kwh × 200 houses in your community = 126,720 kwh

• Recommend a realistic, renewable resource to power your community, using your calculated power needs. Consider the following sources: hydropower, solar power, wind turbines, and geothermal energy.
  • Which source would be the best for your community? (Use hydropower, since Cleveland is close to bodies of water)
  • Justify your choice based on the kind of resources that are available, how much power these alternative sources can produce, and your estimated energy demands for the community.
• Having recommended an alternative power source, conclude by addressing the following:
  • How realistic is this alternative power source for your community?
  • How will people in your community respond to energy conversion? Will they support it or be against it? Give reasons.
  • How expensive would it be to convert to the alternative power source you recommended? How would this new source impact the environment?
  • What organisms would benefit most from this conversion?